Abstract: Aspects concern a computer-implemented method for asset tokenization and storage, comprising: receiving a request for an asset to be tokenized on a distributed ledger; providing asset data of the asset; generating a token representing the asset, wherein the token complies with a predefined token standard, the token comprises a token metadata; generating, using a hash function, a first hash based on the asset data; generating, using the hash function, a second hash based on the token metadata; comparing the second hash with the first hash; and providing a notification indicative of data integrity in a positive determination that there is a match between the second hash and the first hash.

Abstract: In some implementations, a data anomaly generation system may receive a data anomaly configuration. The data anomaly generation system may output, based on the data anomaly configuration, an output dataset comprising one or more data anomalies.

Abstract: Systems and methods for dynamically evaluating metadata consistency and data reliability in a data management system are disclosed herein. The system may retrieve first metadata and second metadata. The system may retrieve a metadata ruleset. Based on the metadata ruleset, the system may generate a first metadata consistency metric indicating a first measure of consistency. The system may determine to process each record of the first metadata as a batch. The system may generate a second metadata consistency metric indicating a second measure of consistency. The system may determine to process each record of the second metadata independently.

Abstract: Systems and methods for dynamically evaluating metadata consistency and data reliability in a data management system are disclosed herein. The system may retrieve first metadata and second metadata. The system may retrieve a metadata ruleset. Based on the metadata ruleset, the system may generate a first metadata consistency metric indicating a first measure of consistency. The system may determine to process each record of the first metadata as a batch. The system may generate a second metadata consistency metric indicating a second measure of consistency. The system may determine to process each record of the second metadata independently.

Abstract: Systems and methods for dynamically evaluating metadata consistency and data reliability in a data management system are disclosed herein. The system may retrieve first metadata and second metadata. The system may retrieve a metadata ruleset. Based on the metadata ruleset, the system may generate a first metadata consistency metric indicating a first measure of consistency. The system may determine to process each record of the first metadata as a batch. The system may generate a second metadata consistency metric indicating a second measure of consistency. The system may determine to process each record of the second metadata independently.

Abstract: A shroud for a gas turbine engine rotor stage is divided into a number of arcuate segments each of which is a trapezium. The segments are urged together by compression springs which attempts to make the assembly lengthen peripherally, by virtue of the chamfered ends 30 of the segments riding up each other. The completely circular shape of the shroud prevents that movement but as a result, a hoop load is generated which tends to move the segments radially outwards, thus achieving the same effect, along with a consequent increase in diameter. A cam ring and pins are used to control and reverse the movement, as desired. The shroud diameter can thus be altered to suit rotor expansion and contraction.