Results were validated using four different multivariate models [generalized additive model (GAM), multiple linear regression (MLR), random forest (RF), regression tree (RT)] via R 3.5.1. Predictive model performance was assessed via root mean squared error (RMSE), coefficient of determination (...
To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P<5 × 10−8), of wh...
Which surface has higher albedo, a forest, or a fresh field of snow? Why? Which factors work to reduce (cool) earth temperature? Clouds, water vapor, carbon dioxide Water vapor, carbon dioxide, etc., The increase in global temperature that is called the greenhouse effect is due to which ...
How to Avoid Common VAT Mistakes and Penalties in Ireland ByShane WatsonMarch 6, 2025 Navigating the labyrinth of Value-Added Tax (VAT) regulations in Ireland can feel like a daunting journey through a dense forest,… Business and Finance ...
inPinus brutiaindividuals, one of the critical forest tree species. The study results revealed that being close to the base station significantly reduced the number of flowers and cones inP. brutiaindividuals, and that the values obtained in individuals at a distance of 800 m from the base ...
Results were validated using four different multivariate models [generalized additive model (GAM), multiple linear regression (MLR), random forest (RF), regression tree (RT)] via R 3.5.1. Predictive model performance was assessed via root mean squared error (RMSE), coefficient of determination (...
On the basis of PAND analysis, more common measures of effect size were derived (Phi, Phi2, and d) and summaries were presented for individual studies. Forest plots, often used in meta-analyses, were presented to illustrate comparisons of effects as a function of outcome measures and ...
adiposity and cardiometabolic disease risk Yingchang Lu et al.# To increase our understanding of the genetic basis of adiposity and its links to cardiometa- bolic disease risk, we conducted a genome-wide association meta-analysis of body fat per- centage (BF%) in up to 100,716 individuals....
Key Laboratory of State Forestry & Grassland Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China 4 Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, IL 62901, USA * Author to whom correspondence should be address...