The use of ML in agronomy has been increasing exponentially since the start of the century, including data-driven predictions of crop yields from farm-level information on soil, climate and management.However, little is known about the effect of data partitioning schemes on the actual performance of the models, in special when they are built for yi
Human-animal interaction as a social determinant of health: descriptive findings from the health and retirement study
Abstract Background We focused on human-animal interaction (HAI) as an important aspect of social functioning at the individual level, framing this emerging field from a public health perspective.Methods Using data from the Health and Retirement Study (HRS) 2012 HAI module, we describe the characteristics of pet ownership in a population of older a
Aloe arborescens supplementation in cat diet: evaluation of effects by in vitro gas production technique
The aim of the present study was to evaluate the effects of Aloe arborescens on organic matter neflintw-r6mpw digestibility (OMD), cumulative gas (OMCV) and short chain fatty acids (SCFA) production, using the in vitro gas production technique (IVGPT).Three adult cats were fed with a commercial diet (CP 31.21; EE 16.64% as fed) for 20 days before t
Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models
Abstract The numerical simulation and slope stability prediction are the focus of slope disaster research.Recently, machine learning models are commonly used in the slope stability prediction.However, these machine learning models have some problems, such as poor nonlinear performance, local optimum and incomplete factors feature extraction.These i