Abstract: Systems and methods are disclosed herein that compute trading signals with low latency and high throughput using highly parallelized compute resources such as integrated circuits, reconfigurable logic devices, graphics processor units (GPUs), multi-core general purpose processors, and/or chip multi-processors (CMPs). For example, an estimation that estimates a quote price direction for a quote on a financial instrument can be generated from streaming financial market data.

Abstract: The present invention relates to an instant temperature-controlled cooling apparatus or device to chill food and beverage containers and the contents rapidly to a sub-zero temperature. The chill device is compact and portable for ease of use on the go and away from the comforts of home. The chill device is made up of a transport chamber with pump, coolant chamber with actuator to move coolant into coils within the container chamber. Chilling of coolant may occur from activation of chemical reaction or via an external power source and pump. The coolant flows through a closed system to prevent contamination and to maintain the desired temperatures for extended periods of time. The instant temperature- controlled cooling apparatus maintains safe and sanitary conditions while rapidly cooling or chilling food and beverage container and relieves users of the necessity of ice or water for maintaining safe temperatures.

Abstract: Systems, computer program products, and methods are described herein for securely managing device communication. The present invention may be configured to provide, to another system, staging information including a digital certificate, a PIN, and a protocol for storing on a device, receive from the device a request to connect to an internal network after user input of the PIN, receive a digital certificate from the device, establish a wireless connection between the device and the internal network, and cause the device to delete the PIN. In some embodiments, the system is configured to permit communication from the device to the other system for a predetermined time window. In some embodiments, the system receives updates from the other system, via an external network, and the system sends the updates to the device, via the internal network.

Abstract: Systems and methods are disclosed herein that compute trading signals with low latency and high throughput using highly parallelized compute resources such as integrated circuits, reconfigurable logic devices, graphics processor units (GPUs), multi-core general purpose processors, and/or chip multi-processors (CMPs). For example, a liquidity indicator that indicates a presence of a hidden order for a financial instrument can be generated based on processing of streaming financial market data that operates to detect the existence of hidden orders within the financial market data.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement aggressing strategies to place aggressing orders on markets when defined conditions are met. Further still, the aggressing strategies can be driven by low latency derivative pricing.

Abstract: Provided are mechanisms and processes for facilitating a real-time, on-demand delivery platform for perishable goods by determining aspects such as the location and status of a courier who is affiliated with a delivery platform. In one example, a courier carries a Bluetooth Low Energy (BLE) enabled mobile device that is configured to detect signals from beacons located at both a vehicle registered to the courier and a provider site. Each of the detected signals includes identifying information and signal strength of the detected signal. The identifying information and signal strengths are transmitted to a server that monitors the signal strengths received at the courier's BLE-enabled mobile device from the beacon devices to determine the likelihood that the courier has arrived at the provider site.

Abstract: Uptake of hypoxia-sensitive PET tracers is dependent on tissue transport properties, specifically, distribution volume. Variability in tissue transport properties reduces the sensitivity of static PET imaging to hypoxia. When tissue transport (vd) effects are substantial, correlations between the two methods of determining hypoxic fractions are greatly reduced—that is, trapping rates k3 are only modestly correlated with tumour-to-blood ratio (TBR). In other words, the usefulness of dynamic- and static-PET based hypoxia surrogates, trapping rate k3 and TBR, in determining hypoxic fractions is reduced in regions where diffusive equilibrium is achieved slowly. A process is provided for quantifying hypoxic fractions using a novel biomarker for hypoxia, hypoxia-sensitive tracer binding rate kb, based on PET imaging data. The same formalism can be applied to model the kinetics of non-binding CT and MT contrast agents, giving histopathological information about the imaged tissue.

Abstract: Systems and methods are disclosed herein that compute trading signals with low latency and high throughput using highly parallelized compute resources such as integrated circuits, reconfigurable logic devices, graphics processor units (GPUs), multi-core general purpose processors, and/or chip multi-processors (CMPs). For example, an estimation that estimates a quote price direction for a quote on a financial instrument can be generated from streaming financial market data.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement aggressing strategies to place aggressing orders on markets when defined conditions are met. Further still, the aggressing strategies can be driven by low latency derivative pricing.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement canceling strategies to cancel quotes and/or orders on markets when defined conditions are met. For example, if new trades indicate that existing quotes and/or orders are no longer advantageous, the logic resources can act quickly to cancel those quotes and/or orders.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement bettering market making strategies that post and cancel bettering quotes on markets. Further still, the bettering market making strategies can be driven by low latency derivative pricing.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement joining market making strategies that post and cancel joining quotes on markets. Further still, the joining market making strategies can be driven by low latency derivative pricing.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement market making strategies that post and cancel quotes on markets. These logic resources can include logic for scheduling the transmissions of quotes to the markets according to various criteria.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement hedging strategies to place hedging orders on markets when defined conditions are met. Such hedging strategies can be combined with aggressing strategies to hedge against aggressing orders placed by the automated trading engine.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement multiple market making strategies that post and cancel quotes on markets. Examples of market making strategies that can be implemented by the automated trading engine include basic market making, joining market making, and bettering market making. Further still, the market making strategies can be driven by low latency derivative pricing.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can compute updated theoretical fair prices for derivatives at low latency. The automated trading engine can then use such real-time derivative pricing to better drive decision-making by trading strategies implemented by the automated trading engine, such as market making strategies and aggressing strategies.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can perform multiple types of trading strategies such as (1) market making strategies that post and cancel quotes on markets, (2) aggressing strategies that place aggressing orders on markets when defined conditions are met, (3) hedging strategies that place hedging orders on markets to hedge against aggressing orders, and/or (4) canceling strategies to cancel quotes and/or orders on markets when defined conditions are met. Further still, one or more of the trading strategies can be driven by low latency derivative pricing.

Abstract: Disclosed herein are automated trading engine embodiments that operate on market data and re-engineer trading logic to operate on computational resources that are capable of providing highly parallelized and pipelined processing operations to improve tick to trade latency. As an example, logic resources for the automated trading engine can implement market making strategies that post and cancel quotes on markets. Further still, the market making strategies can be driven by low latency derivative pricing.

Abstract: A composition (or an aggregate) comprising a h-BN/BNNT structure that comprises a boron nitride nanotube structure and at least a first hexagonal boron nitride structure. Also, a composition comprising at least a first epitaxial h-BN/BNNT structure and at least one metal adhered to the first epitaxial h-BN/BNNT structure. Also, a composition (or an aggregate) that comprises independent boron nitride nanotubes, in which a total mass percentage of independent hexagonal boron nitride and residual boron in the composition is not more than 35%. Also, a material comprising at least a first hexagonal boron nitride structure and at least a first boron nitride nanotube structure, wherein atoms in the first hexagonal boron nitride structure are epitaxially aligned with atoms in the first boron nitride nanotube structure that are closest to the first hexagonal boron nitride structure.

Abstract: A first network signal is received indicating a device identifier in response to a transaction involving an electronic device uniquely associated with the device identifier. An entity identifier specific to an entity associated with the transaction is determined. In response to an initialization event of the electronic device, a second network signal from the electronic device is received that identifies the electronic device. In response to the second network signal, a configuration is communicated to the electronic device that is specific to the entity associated with the transaction.