In European and many African, Middle Eastern and Southern Asian populations lactase persistence (LP) is the most strongly selected monogenic trait to have evolved over the last 10,000 years 1 . While LP selection and prehistoric milk consumption must be linked, considerable uncertainty remains concerning their spatiotemporal configuration and specific interactions 2,3 . We provide detailed distributions of milk exploitation across Europe over the last 9k years using c. 7,000 pottery fat residues from >550 archaeological sites. European milk use was widespread from the Neolithic period onwards but varied spatially and temporally in intensity. Surprisingly, comparison of model likelihoods indicates that LP selection varying with levels of prehistoric milk exploitation provides no better explanation of LP allele frequency trajectories than uniform selection since the Neolithic. In the UK Biobank 4,5 cohort of ~500K contemporary Europeans, LP genotype was only weakly associated with milk consumption and did not show consistent associations with improved fitness or health indicators. This suggests other hypotheses on the beneficial effects of LP should be considered for its rapid frequency increase. We propose that lactase non-persistent individuals consumed milk when it became available, but that under particular conditions and microbiological milieux this was disadvantageous, driving LP selection in prehistoric Europe. Comparison of model likelihoods indicates that population fluctuations, settlement density and wild animal exploitationproxies for these driversprovide better explanations of LP selection than the extent of milk exploitation. These findings offer new perspectives on prehistoric milk exploitation and LP evolution.
A sample of 6098 published prehistoric skeletons consisting of long bone lengths, stature estimated from them using three different methods, as well as recalculated stature data created with other methods, was used to model tempo-spatial variance of stature in the Holocene prehistory of the Near East and Europe. Bayesian additive mixed modeling with errors-in-variables was applied, fitting a global spatiotemporal trend using a tensor product spline approach, a local random effect for the archaeological sites and corrections for mismeasurement and misclassification of covariates to obtain stature isoline maps for various time slices and diachronic stature trend curves for various regions. Models calculated for maximum long bone lengths and for stature are all largely consistent with each other, so Bayesian errors-in-variables models can be regarded as a viable means of smoothing regional and temporal variance in skeletal data as well as in estimation methods so that only robust trends become manifest. In addition to a general northwestsoutheast gradient in stature, tallest stature in Eurasia and declining stature in Iberia confirms archaeogenetic insights. Transition to farming shows stable, decreasing, or even increasing stature depending on the region and the mode of Neolithization, putting into question the common assumption of a general negative effect of Neolithic lifeways on physical health. Particularly, Northern Europe experienced a rise in stature after the 4th millennium BC. Likely caused by both genetics as well as generally improving living conditions, our findings date the origin of the modern NW-SE gradient in stature to around 3000 BC.
This paper presents an experimental study on balance recovery control with a lower limb exoskeleton robot. Four participants were subjected to a perturbation during standing, a forward force impulse applied to their pelvis that forced them to step forward with the right leg for balance recovery. Trials with and without exoskeleton assistance to move the stepping legs thigh were conducted to investigate the influence of the exoskeletons control assistance on balancing performance and a potential adaptation. Analysis of the body kinematics and muscle activation demonstrates that robotic assistance: (1) was easy to use and did not require learning, nor inhibited the healthy stepping behavior; (2) it modified the stepping leg trajectories by increasing hip and knee movement; (3) increased reaction speed and decreased the step duration, (4) generally increased biceps femoris and rectus femoris muscle activity.
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