The purpose of this study was to determine if treatment of pigs with ketoprofen (3 mg/kg body weight) before castration at 7 days of age would affect subsequent growth during the suckling period. Piglets from 301 litters were treated with ketoprofen or a placebo and weighed at castration and at weaning. There was no difference in growth rate between the 2 groups of pigs.
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Paediatr Drugs
January 2025
Division of Endocrinology, Department of Pediatrics, University of Florida, PO Box 100296, Gainesville, FL, 32610, USA.
Prader-Willi syndrome is a rare neurodevelopmental disorder that impacts the musculoskeletal, endocrine, pulmonary, neurologic, ocular, and gastrointestinal systems. In addition, individuals with Prader-Willi syndrome have issues with cognitive development, characteristic behavioral problems, and perhaps most profoundly, appetite control. Currently, the only US Food and Drug Administration-approved therapy for Prader-Willi syndrome is growth hormone, which has been Food and Drug Administration approved for > 20 years for the treatment of growth failure in Prader-Willi syndrome.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
Instituto de Ciencia y Tecnología de Alimentos Córdoba (ICYTAC) - CONICET-UNC, Av. Juan Filloy S/N, Ciudad Universitaria, Córdoba, Argentina.
The focus of this work was to evaluate the differences between the thermal and mechanical effects generated by ultrasound waves on the properties of corn starch, which facilitate the subsequent enzymatic hydrolysis for the generation of porous starches. The results showed that both the thermal and mechanical effects have the capacity to disorganize/alter the structure of starch, impacting on its properties. Characteristics such as particle size, pasting and thermal properties (peak viscosity 1400-1800 cp.
View Article and Find Full Text PDFSoc Cogn Affect Neurosci
January 2025
School of Psychology, Shenzhen University, Shenzhen 518060, China.
Empathy for social pain encompasses both affective and cognitive responses to others' emotional reactions following negative social encounters, facilitating an understanding of their suffering and promoting prosocial behaviors. This study examined how a scarcity mindset affects empathy for social pain and prosocial intentions at behavioral and neural levels. Sixty participants were randomly assigned to either the scarcity or abundance mindset group.
View Article and Find Full Text PDFEvolution
January 2025
Department of Environmental Science, Policy & Management, University of California Berkeley, Berkeley, CA, 94720, United States.
Selection on animal signal form often changes significantly with the environment, yet signal form may itself be environment dependent. Little is known about how variation in individual responses to changing environments affects the relationship between selection and the subsequent evolution of signal traits. To address this question, we assess the effects of variation in temperature on individual signaling and mating behavior responses across temperatures in the wolf spider Schizocosa floridana.
View Article and Find Full Text PDFDigit Biomark
December 2024
Electrical and Computer Engineering, Western Michigan University, Kalamazoo, MI, USA.
Introduction: This research is focused on early detection of Alzheimer's disease (AD) using a multiscale feature fusion framework, combining biomarkers from memory, vision, and speech regions extracted from magnetic resonance imaging and positron emission tomography images.
Methods: Using 2D gray level co-occurrence matrix (2D-GLCM) texture features, volume, standardized uptake value ratios (SUVR), and obesity from different neuroimaging modalities, the study applies various classifiers, demonstrating a feature importance analysis in each region of interest. The research employs four classifiers, namely linear support vector machine, linear discriminant analysis, logistic regression (LR), and logistic regression with stochastic gradient descent (LRSGD) classifiers, to determine feature importance, leading to subsequent validation using a probabilistic neural network classifier.
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