Abstract: An energy harvesting unit includes a plurality of antennas configured to receive one or more signals and a plurality of first charge pumps, in which each of the first charge pumps is operatively coupled to one of the antennas, thereby forming pairs of antennas and first charge pumps. The energy harvesting unit also includes a selection unit configured to measure and compare output voltages of the first charge pumps and to select, from the antennas, a specific antenna. The specific antenna is coupled to the first charge pump that produces the highest output voltage. The energy harvesting unit also includes a multiplexer configured to couple the specific antenna selected by the selection unit to a second charge pump.

Abstract: Disclosed herein is a networked computer system, method, and computer program product for forming a consortium of a general contractor and subcontractors in an online work platform that enter into a contract with a client to complete a work project. In an embodiment, the consortium is a single legal entity with liability protection for the consortium (e.g., a registered LLC). The system processor automatedly generates a signed client's contract and signed subcontractors' contracts with the consortium when the client transmits approval of a general contractor's draft proposal. When the work project is amended, such as by adding a milestone or task, the system processor automatedly generates signed addendums to the client's contract with the consortium, and between the general contractor/consortium and existing subcontractor(s), or generates a new signed contract if a new subcontractor is hired. The system then generates and stores a PDF version of the signed contracts with addendums.

Abstract: It is recognized It is recognized herein that current approaches to robotic picking lack efficiency and capabilities. In particular, current approaches often do not properly or efficiently estimate the pose of bins, due to various technical challenges in doing so, which can impact grasp computations and overall performance of a given robot. The pose of the bin can be determined or estimated based on depth images. Such bin pose estimation can be performed during runtime of a given robot, such that grasping can be enhanced due to the bin pose estimations.

Abstract: In one example, a filter cartridge includes a housing having a fluid entry port and a fluid exit port, and the housing has a chamber in fluid communication with the fluid entry port and the fluid exit port. A first medium is disposed within the chamber and includes a material that serves to change the pH of a fluid passing through the first medium. A filtration medium is disposed in the chamber downstream of the first medium and arranged to receive effluent of the first medium. The filtration medium includes a material configured to remove a metal from a fluid passing through the filtration medium.

Abstract: In one example, a filter cartridge includes a housing having a fluid entry port and a fluid exit port, and the housing has a chamber in fluid communication with the fluid entry port and the fluid exit port. A first medium is disposed within the chamber and includes a material that serves to change the pH of a fluid passing through the first medium. A filtration medium is disposed in the chamber downstream of the first medium and arranged to receive effluent of the first medium. The filtration medium includes a material configured to remove a metal from a fluid passing through the filtration medium.