Abstract: The present invention concerns the use of small molecule DELLA degradation promoters of formula (I) in promoting plant growth.

Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.

Abstract: A system for physical asset resource planning including a capital asset management (CAM) application server in data communication with a CAM report server and a CAM database server; the CAM application server is configured to: execute a life cycle module for generating an asset life cycle model based on user inputs customizing the model for each instance of its execution and to execute a life cycle calculator for generating an annual cost for an asset based on the life cycle model and on a dataset received from the CAM database server. A CAM report server is configured to: execute a presentation module for displaying results of the life cycle module and the life cycle calculator to a user. A CAM database server stores a plurality of datasets related to the assets and provides data to the CAM application and report servers.

Abstract: A system and method for managing a fleet of vehicles including a control unit on one or more vehicles in the fleet of vehicles, a data collection unit on one or more vehicles in the fleet of vehicles in communication with the control unit, a server having an operational database for receiving data from one of the control unit and the data collection unit, and a telemetry module having access to the operational database for initiating an action based on an analysis of data on the server.