Abstract: A composition and a method for preparing a polymer composite article. The composition comprises (A) a filler in an amount of from 10 to 90 wt. The composition also comprises (B) a polymer in an amount of from 10 to 90 wt. %. wherein the (B) polymer is selected from polyolefins, polyamides, polyesters, or combinations thereof. Further, the composition comprises (C) an organopolysiloxane in an amount of from greater than 0 to 10 wt. %; the (C) organopolysiloxane having at least one silicon-bonded hydroxyl group and a viscosity of from 1,000 to 60,000 mPa·s at 25° C. The ranges for components (A)-(C) arc based on the total weight of components (A), (B) and (C) in the composition.

Abstract: An integrated order management engine is disclosed that reduces the latency associated with managing multiple orders to buy or sell a plurality of financial instruments. Also disclosed is an integrated trading platform that provides low latency communications between various platform components. Such an integrated trading platform may include a trading strategy offload engine.

Abstract: An integrated order management engine is disclosed that reduces the latency associated with managing multiple orders to buy or sell a plurality of financial instruments. Also disclosed is an integrated trading platform that provides low latency communications between various platform components. Such an integrated trading platform may include a trading strategy offload engine.

Abstract: A variety of embodiments for hardware-accelerating the processing of financial market depth data are disclosed. A coprocessor, which may be resident in a ticker plant, can be configured to update order books and price books based on financial market depth data at extremely low latency. Such a coprocessor can also be configured to enrich a stream of limit order events pertaining to financial instruments with data from a plurality of updated order and price books.

Abstract: The present technology is generally related to storage structures for cell engineering systems. The storage structures allow for multiple automated cell engineering systems to be held via a single structure, and presented to a user when desired or needed for direct access to the cell engineering system, and then returned to a storage or working position. Many storage structures can be arranged together in a clinical or hospital setting, or other cell therapy engineering manufacturing environment.

Abstract: A variety of embodiments for hardware-accelerating the processing of financial market depth data are disclosed. A coprocessor, which may be resident in a ticker plant, can be configured to update order books and price books based on financial market depth data at extremely low latency. Such a coprocessor can also be configured to enrich a stream of limit order events pertaining to financial instruments with data from a plurality of updated order and price books.

Abstract: Various techniques are disclosed for offloading the processing of data packets. For example, the offloaded processing can be resident in an intelligent switch, such as an intelligent switch upstream or downstream from an electronic trading platform. The data packets processed through the intelligent switch can be unreliable datagram protocol (UDP) data packets from multiple feeds of financial market data, and the offloaded processing can include line arbitration, gap detection, and/or gap mitigation of redundant copies of UDP data packets from one or more financial market data feeds.

Abstract: An integrated order management engine is disclosed that reduces the latency associated with managing multiple orders to buy or sell a plurality of financial instruments. Also disclosed is an integrated trading platform that provides low latency communications between various platform components. Such an integrated trading platform may include a trading strategy offload engine.

Abstract: Various techniques are disclosed for offloading the processing of data packets. For example, incoming data packets can be processed through an offload processor to generate a new stream of outgoing data packets that organize data from the data packets in a manner different than the incoming data packets. Furthermore, in an exemplary embodiment, the offloaded processing can be resident in an intelligent switch, such as an intelligent switch upstream or downstream from an electronic trading platform.

Abstract: An integrated order management engine is disclosed that reduces the latency associated with managing multiple orders to buy or sell a plurality of financial instruments. Also disclosed is an integrated trading platform that provides low latency communications between various platform components. Such an integrated trading platform may include a trading strategy offload engine.

Abstract: Systems and method are disclosed for distributed data processing across multiple compute resources. For example, the system may comprise a ticker plant configured to receive streaming financial market data events from a plurality of feeds, the events comprising financial market data pertaining to financial instruments. The ticker plant may comprise a processor, an FPGA, and a shared memory, wherein the shared memory is shared between the processor and the FPGA, wherein the processor is configured to execute software to manage a flow of financial market data derived from the streaming events between the processor and the FPGA via DMA transfers of the financial market data between the processor and the FPGA via the shared memory, and wherein the FPGA comprises reconfigurable hardware that is configured to perform processing operations on the financial market data to generate processed financial market data for delivery to data consumers.

Abstract: Systems and methods are disclosed for routing of streaming data as between multiple compute resources. For example, the system may comprise a processor, a field programmable gate array (FPGA), a shared memory that is shared by a user space of an operating system for the processor and the FPGA, a network protocol stack, and driver code for execution by the processor. The driver code can be configured to (1) make the received streaming data available to a user mode software application for processing, (2) make data stored in the shared memory available to the FPGA via DMA transfers of data from the shared memory into the FPGA for processing thereby, (3) receive a stream of processed data from the FPGA, and (4) provide the received processed data to the network protocol stack for delivery to one or more data consumers.

Abstract: The Social Aggregating, Fractionally Efficient Transfer Guidance, Conditional Triggered Transaction, Datastructures, Apparatuses, Methods and Systems (“SOCOACT”) transforms smart contract request, crypto currency deposit request, crypto collateral deposit request, crypto currency transfer request, crypto collateral transfer request inputs via SOCOACT components into transaction confirmation outputs. An aggregated crypto 2-party transaction trigger entry that specifies at least one associated aggregated blockchain oracle may be instantiated. A first encrypted token may be obtained from a first associated aggregated blockchain oracle. A second encrypted token may be obtained from a second associated aggregated blockchain oracle.

Abstract: Various techniques are disclosed for offloading the processing of data packets that contain financial market data. For example, data packets that contain financial market data can be processed through an offload processor deployed in a network element of a data distribution network to link the data packets with appropriate parsing metadata for the data packets. The network element can be an intelligent switch, such as an intelligent switch upstream or downstream from an electronic trading platform.

Abstract: Method and Apparatus for High-Speed Processing of Financial Market Depth Data A variety of embodiments for hardware-accelerating the processing of financial market depth data are disclosed. A coprocessor, which may be resident in a ticker plant, can be configured to update order books and price books based on financial market depth data at extremely low latency. Such a coprocessor can also be configured to enrich a stream of limit order events pertaining to financial instruments with data from a plurality of updated order and price books.

Abstract: Various techniques are disclosed for offloading the processing of data packets that contain financial market data. For example, incoming data packets can be processed through an offload processor to generate a new stream of outgoing data packets that organize financial market data in a manner different than the incoming data packets. Furthermore, in an exemplary embodiment, the offloaded processing can be resident in an intelligent switch, such as an intelligent switch upstream or downstream from an electronic trading platform.

Abstract: A variety of embodiments for hardware-accelerating the processing of financial market depth data are disclosed. A coprocessor, which may be resident in a ticker plant, can be configured to update order books based on financial market depth data at extremely low latency. Such a coprocessor can also be configured to enrich a stream of limit order events pertaining to financial instruments with data from a plurality of updated order books.

Abstract: Systems and methods are disclosed for routing of streaming data as between multiple compute resources. For example, the system may comprise a processor, a field programmable gate array (FPGA), a shared memory that is shared by a user space of an operating system for the processor and the FPGA, a network protocol stack, and driver code for execution by the processor. The driver code can be configured to (1) make the received streaming data available to a user mode software application for processing, (2) make data stored in the shared memory available to the FPGA via DMA transfers of data from the shared memory into the FPGA for processing thereby, (3) receive a stream of processed data from the FPGA, and (4) provide the received processed data to the network protocol stack for delivery to one or more data consumers.

Abstract: Various techniques are disclosed for offloading the processing of data packets. For example, incoming data packets can be processed through an offload processor to generate a new stream of outgoing data packets that organize data from the data packets in a manner different than the incoming data packets. Furthermore, in an exemplary embodiment, the offloaded processing can be resident in an intelligent switch, such as an intelligent switch upstream or downstream from an electronic trading platform.

Abstract: Systems and methods are disclosed for routing of streaming data as between multiple compute resources. For example, the system may comprise a processor, a field programmable gate array (FPGA), a shared memory that is shared by a user space of an operating system for the processor and the FPGA, a network protocol stack, and driver code for execution by the processor. The driver code can be configured to (1) copy the streaming data received by the network protocol stack into the shared memory, (2) facilitate DMA transfers of the streaming data from the shared memory into the FPGA for processing thereby, (3) receive a stream of processed data from the FPGA, and (4) deliver the received processed data to the network protocol stack for delivery to one or more data consumers.