Abstract: Systems and methods for automatically answering questions based on a biomedical document are presented herein. The system may include a question-answering machine learning model. The question-answering machine learning model may be enhanced by segmenting the document. The system may include a topic clustering machine learning model for segmenting the document. Through segmentation, the resulting system may provide a lower error rate at a lower computational cost when compared to traditional question-answering machine learning models.

Abstract: Systems and methods for automatically approving prior authorization requests for an episode of service are described. An illustrative system may be used by insurance providers, clients, and third parties to request prior authorizations for episodes of service with real-time approvals if a requested service meets authorization criteria. Throughout each step of the authorization process, transactional information is logged and securely sent to all key parties using the blockchain.

Abstract: A method performed by a gateway node, for handling an incoming call to a first user equipment is provided. The gateway node serves the first user equipment in a terminating network. The first user equipment is a called party of the incoming call. The gateway node obtains (402) information about whether or not the incoming call relates to a subscriber number that is comprised in a registered set of subscriber numbers registered by the first user equipment. When the incoming call relates to the registered set of subscriber numbers, the gateway node converts (403) the incoming call to an Enhanced Multi-level Precedence and Pre-emption service, EMLPP, call in the terminating network at the gateway node. The EMLPP call is a prioritized call achieving priority features over other calls in the terminating network. The priority features comprises:—Faster Call Setup Time-Queuing Capabilities-Precedence Capabilities-Pre-emption Capabilities.

Abstract: Disclosed are various embodiments for a storage unit defect analyzer that analyzes fulfillment center storage units that are designated as defective. A subset of defective storage units is identified by accessing defect data. Location data is then accessed, where the location data indicates a plurality of physical locations associated with the subset of defective storage units. A defect density map is generated according to the plurality of physical locations, the defect density map expressing a concentration of the subset of defective storage units within a fulfillment center. The defect density map is encoded for display in a user interface.

Abstract: A work vehicle comprises a tractor and a fan/grill unit. The fan/grill unit comprises a fan and a grill providing a portion of the exterior of the work vehicle. The fan and the grill are separately pivotally mounted to the tractor. The fan and the grill are coupled to one another in a four-bar linkage arrangement with the tractor such that the fan/grill unit is configured to pivot relative to the tractor between a closed position and an opened position.

Abstract: A work vehicle comprises a tractor and a fan/grill unit. The fan/grill unit comprises a fan and a grill providing a portion of the exterior of the work vehicle. The fan and the grill are separately pivotally mounted to the tractor. The fan and the grill are coupled to one another in a four-bar linkage arrangement with the tractor such that the fan/grill unit is configured to pivot relative to the tractor between a closed position and an opened position.