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The objective was to analyze the mRNA expression of leptin, leptin receptor (ObRb), adiponectin, adiponectin receptor (AdipoR1), and resistin in the placental tissue of cows with and without hyperketonemia, relating it to their metabolic profile. Samples were collected from 135 cows during birth, divided into two groups: G1: without hyperketonemia ( n = 120) and G2: with hyperketonemia ( n = 15). Biochemical and hormonal indic...
Multiple Eurasian Origins and Admixture Shaped the Genomic Legacy of the House Mouse Invasion in AfricaNARA Subscribed
Commensal mammals offer unique opportunities to study how human‐mediated dispersal, admixture, and secondary contact shape genomic variation during range expansion, yet for one of the most successful invasive commensals globally, the western house mouse Mus musculus domesticus , invasion dynamics across Africa remain largely unexplored. Here, we present a large‐scale population genomic analysis of 380 whole‐genome sequences, i...
Diagnosing Linearity Along the Carbon Cascade in Terrestrial Biosphere Models and ObservationsNARA Subscribed
Elevated carbon dioxide (eCO 2 ) acts as a fertiliser for photosynthesis, driving an increase in gross primary production (GPP). However, it is unclear how effectively increased GPP propagates along the ‘carbon (C) cascade’ to increase net primary production (NPP) and vegetation C stocks ( C veg ) in different plant compartments. Vegetation models were criticised for being overly sensitive to photosynthesis (source‐driven), ne...
Since 2011, massive strandings of pelagic Sargassum have become a recurrent environmental hazard across the tropical Atlantic and Caribbean archipelago, creating an urgent need for reliable short-term drift forecasts to support coastal risk management. This study evaluates key sources of uncertainty in operational Sargassum drift forecasting by analyzing the sensitivity of Lagrangian simulations to the representation of floati...
In viticultural systems, agricultural intensification has often led to altered microbial diversity and functionality, resulting in degraded soil quality and resilience. This study aimed to assess, over a one-year period and at a single sampling time point, the effects of contrasting management practices, including sustainable practices such as vitiforestry, which integrates trees into vineyards, on microbial communities and so...
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNARA Subscribed
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T 1 -weighted ( T 1 w) MRI. By identifying MRI features unapparent to humans, DNNs can fi...