Abstract: Methods and apparatuses for automatic ingestion of data using a rate-limited application programming interface (API) include a computing device that creates structured query objects, each comprising instructions for retrieving data from a repository using the rate-limited API. The computing device requests data from the repository via the rate-limited API using the structured query objects and a plurality of API access tokens, including a) generating data requests, each comprising a structured query object; b) determining a transmission delay for each API access token based upon a current rate limit imposed by the rate-limited API; c) transmitting each data request to the repository via the rate-limited API using an API access token that has a transmission delay below a threshold value; and d) processing data received from the repository in response to each data request. The computing device repeats steps b) through d) until data responsive to each data request is received.

Abstract: The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.

Abstract: The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.

Abstract: The AI-Based Real-Time Prediction Engine Apparatuses, Methods and Systems (“AIRTPE”) transforms machine learning training input, order placement input inputs via AIRTPE components into machine learning training output, order placement output, information leakage alert outputs. An order placement datastructure associated with a security identifier is obtained. An order placement allocation for the security identifier is determined. An order placement request datastructure for a first order is sent to a server associated with a first venue. A set of trade tick data messages associated with the first venue is obtained. A set of inferred labels is determined for each obtained trade tick data message using a real-time prediction logic generated using a machine learning technique. The inferred labels of a selected inferred label type are grouped into buckets. When it is determined that the grouped inferred labels correspond to execution data generated by the first order, an information leakage alert is generated.

Abstract: The invention provides systems and methods for sternum repair. A sternum repair device may include a central body, which may include a plurality of male and female components, such that a suture extends from a male component and is received by the female component. The suture may wrap around the sternum and the device may be tightened to keep the separate sternum pieces together.

Abstract: Carrying cases for medical devices and components thereof are provided. Also provided are methods for carrying medical devices and for medical testing.

Abstract: Carrying cases for medical devices and components thereof are provided. Also provided are methods for carrying medical devices and for medical testing.

Abstract: The invention provides systems and methods for sternum repair. A sternum repair device may include a central body, which may include a plurality of male and female components, such that a suture extends from a male component and is received by the female component. The suture may wrap around the sternum and the device may be tightened to keep the separate sternum pieces together.

Abstract: This invention discloses an improved construction for portable disk antenna. This construction mainly comprises a disk antenna body, an outer member, an inner member, and a base. The outer member may rotate over 360 degrees about a first axis relative to the base. The inner member is rotably fitted into the outer member. The disk antenna body is connected to the inner member such that the disk antenna body, together with the inner member, can be rotated with respect to the outer member within an appropriate angular range about a second axis perpendicular to the first axis. This invention is characterized by further comprising an azimuth calibrating device having an azimuth calibration scale formed thereon for calibrating the azimuth deviation of the disk antenna body before use according to the indication of a compass; and an elevation calibrating device having an elevation scale formed thereon for calibrating the elevation deviation of the disk antenna body according to the indication of a level instrument.