Abstract: Techniques for generating a capacity recommendation engine are described herein. First information that identifies capacity changes associated with shipping packages from one or more entities may be obtained. Each capacity change may be associated with a reason code that identifies a reason for the capacity change. Second information that identifies uncontrollable event data for one or more geographic areas that correspond to a delivery area for the one or more entities may be received. Historical information that includes historical capacity changes and associated reason codes from the one or more entities may be obtained. A machine learning algorithm may be implemented based on the first information, the second information, and the historical information. A recommendation may be generated for an entity using the machine learning algorithm. The recommendation may include a modification of a component associated with the shipping network of the entity for a future time period.

Abstract: A wrist-forearm-elbow anti-rotation support system and process that do not require a hardenable material. The system includes an orthopedic support such as a wrist-hand orthosis, wrist-hand-thumb orthosis, joined to a bottle-shaped forearm wrap with opposed flaps formed into a clamshell. Proximal elbow flaps include a center elbow region that extends from the proximal end of the forearm wrap. Attaching straps and/or cross straps extending from the proximal elbow flaps attach to the forearm flaps and may crisscross. Hook and loop fasteners extending from the distal edge of the forearm wrap attach the forearm flaps.