REVEALING CAUSAL CONTROLS OF STORAGE-STREAMFLOW RELATIONSHIPS WITH A DATA-CENTRIC BAYESIAN FRAMEWORK COMBINING MACHINE LEARNING AND PROCESS-BASED MODELING

Some machine learning Partitions (ML) methods such as classification trees are useful tools to generate hypotheses about how hydrologic systems function.However, data limitations dictate that ML alone often cannot differentiate between causal and associative relationships.For example, previous ML analysis suggested that soil thickness is the key ph

Background: Infectious clones are copies of a virus genome produced in vitro or inside a vector and can infect inoculated healthy plants or cells.They are important tools to study the molecular biology of viruses.Questions: Is it possible to construct a Sugarcane mosaic virus infectious clone using methods suggested by other authors? Studied specie

Treatment intended to lower cardiovascular (CV) Beta Carotene risk in patients with diabetes has always been a primary goal of diabetes treatment.Due to the subdued effects of reducing hemoglobin A1c (HbA1c) on macrovascular complications, controlling other CV risk factors such as hypertension and hyperlipidemia instead of hyperglycemia has been th