Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: An example method of flow control between remote hosts and a target system over a front-end fabric, the target system including a nonvolatile memory (NVM) subsystem coupled to a back end fabric having a different transport than the front-end fabric is described. The method includes receiving commands from the remote hosts at a controller in the target system for the NVM subsystem. The method further includes storing the commands in a first-in-first-out (FIFO) shared among the remote hosts and implemented in memory of the target system. The method further includes updating virtual submission queues for the remote hosts based on the commands stored in the FIFO. The method further includes providing the commands to the NVM subsystem from the FIFO.

Abstract: Single-stage and multi-stage systems and methods for the recovery of critical elements in substantially pure form from lithium ion batteries are provided. The systems and methods include supported membrane solvent extraction using an immobilized organic phase within the pores of permeable hollow fibers. The permeable hollow fibers are contacted by a feed solution on one side, and a strip solution on another side, to provide the simultaneous extraction and stripping of elements from dissolved lithium ion cathode materials, while rejecting other elements from the feed solution. The single- and multi-stage systems and methods can selectively recover cobalt, manganese, nickel, lithium, aluminum and other elements from spent battery cathodes and are not limited by equilibrium constraints as compared to traditional solvent extraction processes.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing context-based document classification prediction using a hierarchical attention-based keyword classifier machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform context-based document classification prediction using at least one of techniques using contextual keyword classifications, techniques using attention-based keyword classifier machine learning framework, techniques using a greedy matching indicator, and/or the like.

Abstract: A method for managing wireless connections in a network with a computer controller and plurality of access points (APs) uses an industry-standard protocol to determine client roaming and location. When a smartphone connects to one of the APs, neighboring APs can be quickly identified. The controller triggers the smartphone to probe neighboring APs and collects signal strength information and generates a map. The controller estimates the relative location of the smartphone among the APs and decides whether to steer the smartphone to a different AP based on signal strength and/or other variables.

Abstract: A method of concentrating lithium containing solutions includes inputting a feed brine solution to an initial separation stage, the feed brine solution including lithium sulfate and one or more of sodium sulfate, potassium sulfate, calcium sulfate, and sodium chloride dissolved in water. In the initial separation stage, the feed brine solution is introduced to a pre-treatment membrane at a pressure that is less than the osmotic pressure of the feed brine solution. An initial permeate that passes through the pre-treatment membrane becomes the feed to a final separation stage, and an initial retentate that does not pass through the pre-treatment membrane includes a precipitate of at least one of the salts other than lithium sulfate. In the final separation stage, the initial permeate is introduced to a nanofiltration membrane at a pressure that is less than the osmotic pressure of the initial permeate.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: An integrated circuit (IC) device includes a network device including a first network port, a second network port, and an internal endpoint port. The IC device further includes a first processing unit including an internal end station. The first processing unit is configured to communicate with the network device using the internal endpoint port. The IC device further includes a second processing unit including a bridge management layer. The second processing unit is configured to communicate with the network device using the internal endpoint port. In various embodiments, the first processing unit and the second processing unit are configured to communicate with each other using a first internal channel.

Abstract: A lithium extraction composite comprising: (i) a porous support and (ii) particles of a lithium-selective sorbent material coated on at least one surface of the support, wherein the support has a planar membrane, fiber (or rod), or tubular shape. A method for extracting and recovering a lithium salt from an aqueous solution by use of the above-described composition is also described, the method comprising (a) flowing the aqueous source solution through a first zone or over a first surface of the lithium extraction composite to result in selective lithium intercalation in the lithium-selective sorbent material in the first zone or first surface; and (b) simultaneously recovering lithium salt extracted in step (a) from said lithium-selective sorbent material by flowing an aqueous stripping solution through a second zone or over a second surface of the lithium extraction composite in which lithium ions from the first zone or first surface diffuse.

Abstract: A system and method for the recovery and separation of rare earth elements (REEs) are provided. The system and method include the supported membrane solvent extraction of REEs and the separation of light and heavy REEs that have been recovered from scrap permanent magnets and other electronic waste. In supported membrane solvent extraction, an organic phase consisting of an extractant and an organic solvent is immobilized in the pores of hollow fibers. An aqueous feed solution and a strip solution flow along the shell side and lumen side of the hollow fibers, respectively. The extractant functions as a carrier to selectively transport certain rare earth metal ions from the feed side to the strip side. The rare earth metals are concurrently back extracted in the strip solution, allowing processing to proceed continuously without equilibrium limitations.

Abstract: A lithium extraction composite comprising: (i) a porous support and (ii) particles of a lithium-selective sorbent material coated on at least one surface of the support, wherein the support has a planar membrane, fiber (or rod), or tubular shape. A method for extracting and recovering a lithium salt from an aqueous solution by use of the above-described composition is also described, the method comprising (a) flowing the aqueous source solution through a first zone or over a first surface of the lithium extraction composite to result in selective lithium intercalation in the lithium-selective sorbent material in the first zone or first surface; and (b) simultaneously recovering lithium salt extracted in step (a) from said lithium-selective sorbent material by flowing an aqueous stripping solution through a second zone or over a second surface of the lithium extraction composite in which lithium ions from the first zone or first surface diffuse.

Abstract: Single-stage and multi-stage systems and methods for the recovery of critical elements in substantially pure form from lithium ion batteries are provided. The systems and methods include supported membrane solvent extraction using an immobilized organic phase within the pores of permeable hollow fibers. The permeable hollow fibers are contacted by a feed solution on one side, and a strip solution on another side, to provide the simultaneous extraction and stripping of elements from dissolved lithium ion cathode materials, while rejecting other elements from the feed solution. The single- and multi-stage systems and methods can selectively recover cobalt, manganese, nickel, lithium, aluminum and other elements from spent battery cathodes and are not limited by equilibrium constraints as compared to traditional solvent extraction processes.

Abstract: An integrated circuit (IC) device includes a network device. The network device includes first and second network ports each configured to connect to a network, and an internal endpoint port configured to connect to first endpoint having a first processing unit and second endpoint having a second processing unit. A lookup circuit is configured to provide a first forwarding decision for a first frame to be forwarded to the first endpoint. An endpoint extension circuit is configured to determine a first memory channel based on the first forwarding decision for forwarding the first frame, and forward the first frame to the first endpoint using the determined memory channel.

Abstract: A network device includes a plurality of ports, a lookup circuit, and a traffic control circuit. The lookup circuit is configured to provide a first action for a first frame to be forwarded using a first forwarding path between a first set of two ports of the plurality of ports. The lookup circuit is further configured to and provide a second action for a second frame to be forwarded using a second forwarding path between a second set of two ports of the plurality of ports. The traffic control circuit configured to forward the first frame based on the first action and forward the second frame based on the second action.

Abstract: A circuit for memory access includes a memory access control circuit. The memory access controller is coupled to a memory and configured to perform data transfers to retrieve data from the memory. The memory access control circuit includes a timing control circuit and a transfer control circuit. The timing control circuit is configured to determine first timing information based on a timing requirement for transmitting a first data stream to a first network; and determine a first fetch time for retrieving the first data stream from the memory based on the first timing information. The transfer control circuit is configured to retrieve the first data stream from the memory based on the first fetch time.