Abstract: Methods, systems, and devices for data management are described. For example, techniques for scalable backup solutions for non-relational databases are described. A data management system (DMS) may use different buffer pools for the extraction of data from the non-relational database and the movement (e.g., copying or transferring of data) from the buffers to a remote storage location. A backup process for a collection may involve one or more iterations involving retrieving or selecting a buffer from an empty buffer queue of an agent of the DMS at the non-relational database, filling the buffer with data from the non-relational database to the retrieved buffer, moving the filled buffer to a full buffer queue, moving the data to a remote storage location, and moving the buffer back to the empty buffer queue after moving the data on the buffer to the remote storage location.

Abstract: This disclosure describes systems, methods, and devices for estimating dimple etch recess depth in a gate-all-around transistor. A method may include receiving, by a device, first measurements of the gate-all-around transistor, the first measurements based on first optical data from a spacer etch stage of fabricating the gate-all-around transistor; inputting, by the at least one processor, using a feed forward network, the first measurements to a machine learning model trained to estimate dimple etch recess in the gate-all-around transistor; inputting, by the at least one processor, to the machine learning model, second optical data from a dimple etch stage of fabricating the gate-all-around transistor; and generating, by the at least one processor, using the machine learning model, based on the second optical data and the first measurements, second measurements comprising the first measurements and dimple etch recess estimates for the gate-all-around transistor.

Abstract: Methods, systems, and devices for data management are described. For example, techniques for scalable backup solutions for non-relational databases are described. A data management system (DMS) may use different buffer pools for the extraction of data from the non-relational database and the movement (e.g., copying or transferring of data) from the buffers to a remote storage location. A backup process for a collection may involve one or more iterations involving retrieving or selecting a buffer from an empty buffer queue of an agent of the DMS at the non-relational database, filling the buffer with data from the non-relational database to the retrieved buffer, moving the filled buffer to a full buffer queue, moving the data to a remote storage location, and moving the buffer back to the empty buffer queue after moving the data on the buffer to the remote storage location.

Abstract: Examples of an operating mechanism of a circuit breaker are described. The operating mechanism includes a housing, a cam element installed on a mechanically driven first shaft, a transmission lever installed on a second shaft parallel to the first shaft, and a support assembly. The transmission lever is provided with a first roller element. The support assembly includes a fork joint that is to support a second roller element and a damper element coupled to the fork joint. During a closing operation of the circuit breaker, the cam element rotates to interact with the first roller element to cause rotation of the transmission lever to close the circuit breaker and rotates further to engage with the second roller element on the fork joint to initiate a closing damper stroke.

Abstract: Methods, systems, and devices for data management are described. For example, techniques for scalable backup solutions for non-relational databases are described. Operation logs (oplogs) may capture changes that occur at a non-relational database. A data management system (DMS) may use multiple queues and local disk memory of the host of the non-relational database to streamline the movement of oplogs from the non-relational database to a remote storage environment accessible to the DMS. Oplogs may be parsed into a multitenant queue, moved from the multitenant queue to collection-specific queues, written from the collection-specific queues to local disk memory of the host, and moved from the local disk memory of the host to the remote storage environment. Oplogs from multiple collections may be moved from the collection-specific queues to local disk memory of the host and from the local disk memory to the remote storage environment in parallel, reducing latency.

Abstract: Methods, systems, and devices for data management are described. For example, techniques for scalable backup solutions for non-relational databases are described. A data management system (DMS) may use different buffer pools for the extraction of data from the non-relational database and the movement (e.g., copying or transferring of data) from the buffers to a remote storage location. A backup process for a collection may involve one or more iterations involving retrieving or selecting a buffer from an empty buffer queue of an agent of the DMS at the non-relational database, filling the buffer with data from the non-relational database to the retrieved buffer, moving the filled buffer to a full buffer queue, moving the data to a remote storage location, and moving the buffer back to the empty buffer queue after moving the data on the buffer to the remote storage location.

Abstract: This disclosure describes systems, methods, and devices for estimating dimple etch recess depth in a gate-all-around transistor. A method may include receiving, by a device, first measurements of the gate-all-around transistor, the first measurements based on first optical data from a spacer etch stage of fabricating the gate-all-around transistor; inputting, by the at least one processor, using a feed forward network, the first measurements to a machine learning model trained to estimate dimple etch recess in the gate-all-around transistor; inputting, by the at least one processor, to the machine learning model, second optical data from a dimple etch stage of fabricating the gate-all-around transistor; and generating, by the at least one processor, using the machine learning model, based on the second optical data and the first measurements, second measurements comprising the first measurements and dimple etch recess estimates for the gate-all-around transistor.

Abstract: An actuating device for a switching apparatus of a switch panel of electrical energy technology, in particular of medium-voltage technology, comprises an operable drive unit, in particular a manually operable drive unit, a pivot unit that can be mechanically coupled to the switching apparatus, and a pulling cable via which the pivot unit is mechanically connected to the drive unit.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: Examples of an operating mechanism of a circuit breaker are described. The operating mechanism includes a housing, a cam element installed on a mechanically driven first shaft, a transmission lever installed on a second shaft parallel to the first shaft, and a support assembly. The transmission lever is provided with a first roller element. The support assembly includes a fork joint that is to support a second roller element and a damper element coupled to the fork joint. During a closing operation of the circuit breaker, the cam element rotates to interact with the first roller element to cause rotation of the transmission lever to close the circuit breaker and rotates further to engage with the second roller element on the fork joint to initiate a closing damper stroke.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: This disclosure describes systems, methods, and devices for estimating dimple etch recess depth in a gate-all-around transistor. A method may include receiving, by a device, first measurements of the gate-all-around transistor, the first measurements based on first optical data from a spacer etch stage of fabricating the gate-all-around transistor; inputting, by the at least one processor, using a feed forward network, the first measurements to a machine learning model trained to estimate dimple etch recess in the gate-all-around transistor; inputting, by the at least one processor, to the machine learning model, second optical data from a dimple etch stage of fabricating the gate-all-around transistor; and generating, by the at least one processor, using the machine learning model, based on the second optical data and the first measurements, second measurements comprising the first measurements and dimple etch recess estimates for the gate-all-around transistor.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: A data stream may include a plurality of records that are ordered, and the plurality of records may be assigned to a processing shard. A first set of virtual shards may be formed, the first set of virtual shards having a first quantity of virtual shards that perform parallel processing operations on behalf of the processing shard. First records of the plurality of records may be processed using the first set of virtual shards. The first quantity of virtual shards may be modified, based at least in part on an observed record age, to a second quantity of virtual shards that perform parallel processing operations on behalf of the processing shard. A second set of virtual shards may be formed having the second quantity of virtual shards. Second records of the plurality of records may be processed using the second set of virtual shards.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: A first group processing attempt may be performed on a first record group in a stream of ordered data records. The first group processing attempt may fail, and the first record group may be split into at least a second record group and a third record group. A second group processing attempt may be performed on the second record group, and a third group processing attempt may be performed on the third record group. For the second, the third and following record groups, each record group that is not processed successfully may be split into two or more other record groups and additional group processing attempts may be performed on the two or more other record groups until the error-causing record is isolated as a single record. Processing of the error-causing record may be bypassed after it is isolated as a single record.

Abstract: Replication of data from a primary computing system to a secondary computing system. The replication is single-threaded or multi-threaded depending on one or more characteristics of the data to be replicated. As an example, the characteristics could include the type of data being replicated and/or the variability on that data. Also, the multi-threading capabilities of the primary and secondary computing systems are determined. Then, based on the identified one or more characteristics of the data, the primary computing system decides whether to perform multi-threaded replication and the multi-threading parameters of the replication based on the one or more characteristics of that data, as well as on the multi-threading capabilities of the primary and secondary computing system.

Abstract: Techniques are disclosed relating to a computer system including a first mobile device that stores information that is inaccessible without a value stored on a second mobile device. In some embodiments, the first mobile device stores a plurality of one-time password generation routines executable to generate one-time passwords usable to authenticate user access to an electronic resource, and the second mobile device stores a plurality of supplemental authentication values that correspond to the one-time password generation routines. A particular one-time password generated by the first mobile device using a particular one-time password generation routine is inaccessible without the corresponding particular supplemental authentication value stored on the second mobile device.

Abstract: An embodiment of a system is disclosed in which a computer system may receive a sequence of failed login attempts to access a user account, and assess a risk level associated with the sequence of failed login attempts. The risk level may be assessed based on a plurality of characteristics of the sequence of failed login attempts. Based on the assessed risk level, the computer system may select a lockout policy that includes a lockout period. The computer system may determine that a lockout threshold, corresponding to a number of failed login attempts, has been reached. In response to determining that the lockout threshold has been reached, the computer system may prevent further login attempts during the lockout period. In addition, the computer system may permit subsequent login attempts after the lockout period has ended.