Many factors influence cognitive performance in dogs, including breed, temperament, rearing history, and training. Studies in working dog populations have demonstrated age-related improvements in cognitive task performance across the first years of development. However, the effect of certain factors, such as age, sex, and temperament, on cognitive performance in puppies has yet to be evaluated in a more diverse population of companion dogs. In this study, companion dogs under 12 months of age were tested once on two tasks purported to measure aspects of executive function: the delayed-search task (DST) and the detour reversal task (DRT). Owners also filled out the Canine Behavioral Assessment and Research Questionnaire (C-BARQ) to evaluate how temperament influenced task performance. Contrary to prior research, performance did not improve with age on either task. However, the lack of age effects was likely the result of small sample sizes and individual differences across other factors influencing performance. Specifically, temperament differences as measured by the C-BARQ subscales for nonsocial fear and excitability predicted task performance on the DST, but the effect of temperament on task performance differed between males and females. Excitability also predicted performance on the DRT, but the effect depended on the age of the dog. In addition, no correlations were observed between task measures, indicating a lack of construct validity. Overall, these findings provide a preliminary analysis of factors that appear to influence cognitive task performance in young companion dogs and highlight suggestions for future research evaluating the impact of individual differences on cognitive performance.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10984887 | PMC |
http://dx.doi.org/10.1007/s10071-024-01868-4 | DOI Listing |
J Speech Lang Hear Res
January 2025
Department of Communication Sciences and Disorders, Bowling Green State University, OH.
Purpose: The current project aimed to examine the effects of two experimental cognitive-linguistic paradigms, the Stroop task and a primed Stroop task, on speech kinematics and perioral muscle activation.
Method: Acoustic, kinematic, and surface electromyographic data were collected from the verbal responses of 30 young adult healthy control participants in choice response, classic Stroop, and primed Stroop tasks. The classic and primed Stroop tasks included congruent and incongruent trials.
J Strength Cond Res
December 2024
School of Psychology, Faculty of Life and Health Sciences, Ulster University, Coleraine, Northern Ireland.
Edwards, AM, Coleman, D, Fuller, J, Kesisoglou, A, and Menting, SGP. Time perception and enjoyment of professional soccer players in different training sessions: Implications for assessment of session-RPE and training load. J Strength Cond Res 38(12): e754-e760, 2024-The purpose of this study was to investigate whether the perception of time and enjoyment levels among professional soccer players varied according to the type of training undertaken and whether this influenced the training load (TL) assessment method of session-rating of perceived exertion (sRPE).
View Article and Find Full Text PDFJ Strength Cond Res
December 2024
Jayhawk Athletic Performance Laboratory, Wu Tsai Human Performance Alliance, University of Kansas, Lawrence, Kansas.
Eserhaut, DA, DeLeo, JM, and Fry, AC. Blood flow restricted resistance exercise in well-trained men: Salivary biomarker responses and oxygen saturation kinetics. J Strength Cond Res 38(12): e716-e726, 2024-Resistance exercise with continuous lower-limb blood flow restriction (BFR) may provide supplementary benefit to highly resistance-trained men.
View Article and Find Full Text PDFThis study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, China.
Accurate detection of fabric defects is crucial for quality control in the textile industry. However, the task of fabric defect detection remains highly challenging due to the complex textures and diverse defect patterns. To address the issues of inaccurate localization and false positives caused by complex textures and varying defect sizes, this paper proposes an improved YOLOv8-based fabric defect detection method.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!