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Parsing reward sensitivity reveals distinct relationships with energy intake, metabolic markers, physical activity and fitness.
Acta Neuropsychiatr
January 2025
Division of Neuropsychopharmacology, Department of Chemistry, University of Tartu, Tartu, Tartumaa, Estonia.
Rewards are rewarding owing to their hedonic or metabolic value. Individual differences in sensitivity to rewards are predictive of mental health problems but may reflect variation in metabolic types. We have assessed the association of two distinguishable aspects of reward sensitivity, openness to rewards (the striving towards multiple rewards) and insatiability by reward (the strong pursuit and fixation to a particular reward), with measures of metabolism and activity in a longitudinal study of representative birth cohort samples.
View Article and Find Full Text PDFAge-related biomechanical variations in vertical jumping and sprinting performance among basketball players.
Front Sports Act Living
January 2025
Research Centre for Sports and Healthcare Sciences, University of Iceland, Reykjavik, Iceland.
Introduction: This study aims to investigate age-related differences in physical performance metrics, specifically vertical jumping and sprinting capabilities, between young (average age 12.5) and senior (average age 23.2) male basketball players.
View Article and Find Full Text PDFA comprehensive dataset of above-ground forest biomass from field observations, machine learning and topographically augmented allometric models over the Kashmir Himalaya.
Data Brief
February 2025
Department of Geoinformatics, University of Kashmir, Hazratbal Srinagar 190006, Jammu and Kashmir, India.
Accurate estimates of forest dynamics and above-ground forest biomass for the topographically challenging Himalaya are crucial for understanding carbon storage potential, assessing ecosystem services, and guiding conservation efforts in response to climate change. This dataset provides a manually delineated multi-temporal forest inventory and a comprehensive record of above-ground biomass (AGB) across the Kashmir Himalaya, generated from field observations, advanced remote sensing and machine learning. Data were collected and generated through remote sensing techniques and extensive in-situ measurements of 6220 trees (n=275 plots), including tree diameter at breast height, species composition, and tree density to map forest area and model AGB across varied terrain.
View Article and Find Full Text PDFPrecision water recharge facilitates spikelet development and seed growth in Carex schmidtii: Implications for near-natural restoration of degraded semi-arid wetlands.
J Environ Manage
January 2025
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Science, Changchun, 130102, Jilin Province, China.
The expansion of irrigated agriculture in semi-arid regions exacerbates the degradation of wetland ecosystems. Precision water recharge can facilitate near-natural restoration of degraded wetlands by alleviating the conflict between wetlands and agricultural water use. However, although the ecological significance of precision water recharge as a nature-based solution for restoring wetland vegetation has been widely acknowledged, the mechanisms driving its role in spikelet development and seed growth in Carex schmidtii Meinsh.
View Article and Find Full Text PDFLandau-Levich Scaling for Optimization of Quantum Dot Layer Morphology and Thickness in Quantum-Dot Light-Emitting Diodes.
ACS Nano
January 2025
Department of Chemical and Biomolecular Engineering, Lehigh University, 124 E. Morton Street, Bethlehem, Pennsylvania 18015, United States.
Quantum dot (QD) light-emitting diodes (QLEDs) are promising candidates for next-generation displays because of their high efficiency, brightness, broad color gamut, and solution-processability. Large-scale solution-processing of electroluminescent QLEDs poses significant challenges, particularly concerning the precise control of the active layer's thickness and uniformity. These obstacles directly impact charge transport, leading to current leakage and reduced overall efficiency.
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