Abstract: Systems and methods are provided for storing a first data object comprising a first set of immutable components, the first data object being associated with a corresponding second data object stored by a remote replication system. A difference is determined between the first set of immutable components of the first data object and a second set of immutable components of the corresponding second data object. A subset of immutable components is identified from the first set of immutable components based on the difference. The subset of immutable components from the first set of immutable components is provided to the remote replication system over a communication network.

Abstract: Methods, systems, and devices for language mapping are described. Some machine learning models may be trained to support multiple languages. However, word embedding alignments may be too general to accurately capture the meaning of certain words when mapping different languages into a single reference vector space. To improve the accuracy of vector mapping, a system may implement a supervised learning layer to refine the cross-lingual alignment of particular vectors corresponding to a vocabulary of interest (e.g., toxic language). This supervised learning layer may be trained using a dictionary of toxic words or phrases across the different supported languages in order to learn how to weight an initial vector alignment to more accurately map the meanings behind insults, threats, or other toxic words or phrases between languages. The vector output from this weighted mapping can be sent to supervised models, trained on the reference vector space, to determine toxicity scores.

Abstract: A selection system comprises a ring, a plurality of shims, a measurement device, and at least one glenoid component. The ring is configured to couple to a humerus. A shim of the plurality of shims is configured to couple to the ring. The measurement device is configured to couple to the shim. Each shim of the plurality of shims has a different height when coupled to the ring. The selection system generates measurement data to support the selection of at least one prosthetic component for a shoulder joint in a surgical environment. The shoulder joint geometry can be adjusted by changing shims, changing glenoid component or both. The selection system is removed after the selection of the final prosthetic components for the shoulder joint. The final prosthetic components are installed in the shoulder joint. The measurement device is placed in the shoulder joint and measurement data is generated to verify performance.

Abstract: Methods, systems, and devices for language mapping are described. Some machine learning models may be trained to support multiple languages. However, word embedding alignments may be too general to accurately capture the meaning of certain words when mapping different languages into a single reference vector space. To improve the accuracy of vector mapping, a system may implement a supervised learning layer to refine the cross-lingual alignment of particular vectors corresponding to a vocabulary of interest (e.g., toxic language). This supervised learning layer may be trained using a dictionary of toxic words or phrases across the different supported languages in order to learn how to weight an initial vector alignment to more accurately map the meanings behind insults, threats, or other toxic words or phrases between languages. The vector output from this weighted mapping can be sent to supervised models, trained on the reference vector space, to determine toxicity scores.

Abstract: A selection system comprises a ring, a plurality of shims, a measurement device, and at least one glenoid component. The ring is configured to couple to a humerus. A shim of the plurality of shims is configured to couple to the ring. The measurement device is configured to couple to the shim. Each shim of the plurality of shims has a different height when coupled to the ring. The selection system generates measurement data to support the selection of at least one prosthetic component for a shoulder joint in a surgical environment. The shoulder joint geometry can be adjusted by changing shims, changing glenoid component or both. The selection system is removed after the selection of the final prosthetic components for the shoulder joint. The final prosthetic components are installed in the shoulder joint. The measurement device is placed in the shoulder joint and measurement data is generated to verify performance.