Abstract: Disclosed herein are embodiments of a training lab that can be used as a teaching platform for individuals to learn electronic maintenance, such as transformer maintenance. The training lab can be either stationary or mobile, or can switch between the two modes. Modified transformers, or other equipment, can be incorporated into the lab to improve training.

Abstract: Disclosed are improved methods for manufacturing large-scale populations of robust, highly pure, and functional T regulatory cells (Tregs). Also disclosed are expanded Treg populations, cryopreserved Treg populations and methods and uses of these cells in compositions formulated for treating one or more mammalian diseases, including, for example, treatment, prophylaxis, and/or amelioration of one or more symptoms of a human neurodegenerative disorder. In particular, the compositions and methods provided herein find clinical use in the treatment and amelioration of one or more symptoms of amyotrophic lateral sclerosis (ALS), Alzheimer's disease, and other neurological diseases and disorders.

Abstract: Techniques for predicted performance may be provided. For example, a computing service may be implemented to analyze information about past performances of merchants associated with providing items to consumers. Based on the analysis, the computing service may generate a performance prediction model. Further, the computing service may use the performance prediction model to determine a predicted performance for a particular merchant. Information about the predicted performance may be provided to various users including, for example, consumer and merchants.

Abstract: Disclosed are various embodiments for increasing distributed database capacity by adding new nodes while minimizing downtime. A database is partitioned among multiple nodes in a cluster. Each node stores a respective portion of the database. The portions of the database are replicated to corresponding physical standbys. For each portion, a first portion is mapped to an existing node, while a remaining portion is mapped to a physical standby. The cluster is updated to include the physical standbys as additional nodes among which the database is partitioned.

Abstract: Disclosed are various embodiments for facilitating data redistribution in database sharding. A database is maintained that is horizontally partitioned into a set of first buckets using modulo-based assignments. A fixed number of the first buckets are stored in each of multiple physical data stores. The database is repartitioned into a set of second buckets using modulo-based assignments. The number of second buckets in the set is a multiple of the sum of a positive integer and the quantity of the physical data stores. The data in the database is unmoved between the physical data stores by repartitioning.

Abstract: A customer or patient management system implemented on a computer or computer network is disclosed that includes at least one electronic device having a display; a memory; and a processor operating in accordance with software for receiving a unique identifier associated with a customer and the identifier is associated with a predefined marketing campaign. The system captures and stores data that allows for the calculation of payment history for each customer and the cost data relating to the advertising and promotion expenditures for each customer that originates from each predefined marketing campaign and correlating the revenue and expenditure data for each customer in a visual display.

Abstract: Disclosed are various embodiments for increasing distributed database capacity by adding new nodes while minimizing downtime. A database is partitioned among multiple nodes in a cluster. Each node stores a respective portion of the database. The portions of the database are replicated to corresponding physical standbys. For each portion, a first portion is mapped to an existing node, while a remaining portion is mapped to a physical standby. The cluster is updated to include the physical standbys as additional nodes among which the database is partitioned.