Abstract: The present invention is directed to biocompatible polymeric powders to be used for 3D printing applications. More specifically, the 3D printing process will allow a tool less manufacturing of medical devices in particular in the implantables or regenerative space. Its flow and other processing characteristics qualifies them for the use in selective laser sintering, but also could be suitable for other powder based 3D printing technologies.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for predicting and correcting addresses. In one embodiment, this includes applying exception rules to determine whether to generate an exception for an address. If an exception exists, there are various approaches for predicting or correcting the addresses.

Abstract: Computer program products, methods, systems, apparatus, and computing entities for generating notifications/messages are provided. In one embodiment, logical groupings associated with items to be delivered are stored. The shipping data for the items can comprise item identifiers and logical grouping identifiers. By using a current logical grouping identifier, it can be determined when an item from a new logical grouping is being or has been delivered. Responsively, notifications/messages can be generated for the new logical grouping to indicate (a) a time window within which the items of the new logical grouping are expected to be delivered or (b) whether a pick-up can be made within the time window.

Abstract: Computer program products, methods, systems, apparatus, and computing entities for generating notifications/messages are provided. In one embodiment, logical groupings associated with items to be delivered are stored. The shipping data for the items can comprise item identifiers and logical grouping identifiers. By using a current logical grouping identifier, it can be determined when an item from a new logical grouping is being or has been delivered. Responsively, notifications/messages can be generated for the new logical grouping to indicate (a) a time window within which the items of the new logical grouping are expected to be delivered or (b) whether a pick-up can be made within the time window.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for predicting and correcting addresses. In one embodiment, this includes applying exception rules to determine whether to generate an exception for an address. If an exception exists, there are various approaches for predicting or correcting the addresses.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for predicting and correcting addresses. In one embodiment, this includes applying exception rules to determine whether to generate an exception for an address. If an exception exists, there are various approaches for predicting or correcting the addresses.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for predicting and correcting addresses. In one embodiment, this includes applying exception rules to determine whether to generate an exception for an address. If an exception exists, there are various approaches for predicting or correcting the addresses.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for predicting and correcting addresses. In one embodiment, this includes applying exception rules to determine whether to generate an exception for an address. If an exception exists, there are various approaches for predicting or correcting the addresses.