Embodiments of a system may comprise databases and a processor that receives a first filter item and a database filter item, generates a first database based on the first filter item, integrate data from the first database into the user database to create an updated plurality of user records, generate a second database based on a selected set of records, in the updated plurality of user records, corresponding to the database filter item, determine metrics that correspond to the second database, generate a model to segregate the second database using the metrics, receive criteria, compare the segregated second database with the criteria to remove records that do not meet the criteria, cause a subsequent update to the updated second database to integrate data from the event database to create an updated diminished second database, and generate a notification including information included in the updated diminished second database.

Transaction-enabled systems and methods for identifying and acquiring machine resources on a forward resource market are disclosed. An example system may include a controller having a resource requirement circuit to determine an amount of a resource required for a machine to service a task requirement, a forward resource market circuit to access a forward resource market, a resource market circuit to access a resource market, and a resource distribution circuit to execute a transaction of the resource on at least one of the resource market or the forward resource market in response to the determined amount of the resource required.

Systems and methods for prediction of forward market renewable energy credit from automated agent behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market, and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market, based in part on an automated agent behavior collected from an automated agent behavioral data source. The example system may further include wherein the energy credit comprises a renewable energy credit from a renewable energy system, and a smart contract circuit to sell the renewable energy credit or purchase the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

A system for sub-table replication within a materialized view of a source data table. A materialized view of a source data table is generated based on a query, the source data table having a plurality of data table rows associated with a plurality of client identifiers and including an entitlements column and data content, the entitlements column including a plurality of provider account identifiers and a plurality of consumer account identifiers. An update to an entitlements table of the source data table is detected where the entitlements table includes a plurality of entitlements table rows and where the entitlements table rows are associated with the client identifiers, the consumer account identifiers, and the provider account identifiers. An update to the source data table based on the first update to the entitlements table is detected, and an incremental replication of the materialized view of the source data table is performed.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.

An abrasive tool for a floor grinder, wherein the tool extends along a wear direction (D) from a grinding surface (G) to a mounting surface (M), wherein the abrasive tool comprises at least two sections (410, 420, 430) separated by a surface (P) transversal to the wear direction (D), where the at least two sections comprise respective abrasive materials associated with different grit sizes, where the section located closer to the grinding surface (G) is associated with a larger grit size compared to the section located closer to the mounting surface (M).

Systems and transaction-enabled methods for providing provable access to a distributed ledger with serverless code logic are disclosed. A transaction-enabling system may include a controller configured to access a distributed ledger comprising serverless code logic, tokenize the serverless code logic, interpret an access request for the serverless code logic and, in response to the access request, provide a provable access to the serverless code logic.

Methods and apparatus for multi-account adjustment in third-party privacy-protected cloud environments are disclosed herein. A disclosed example apparatus includes memory and processor circuitry to execute computer readable instructions to select a type of client device, determine a number of panelists associated with a demographic characteristic and the type of client device, the demographic characteristic defining a segment of the panelists, determine a number of user accounts associated with the number of panelists, determine a multi-account adjustment factor for the demographic characteristic and the client device based on a ratio of the number of the panelists to the number of user accounts, and adjust an initial estimate of a unique audience size based on the multi-account adjustment factor.

An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.

The present disclosure describes systems and methods for providing enhanced location analysis and consumer insights using mobile sightings data. An approximate geographic location is useful to mobile service providers and advertisers who wish to provide targeted content to consumers based on their location. The location analysis described herein provides more depth and detail about the detected geographic location of the consumer and also insights into business locations visited by the user of the device, consumer/market segments and patterns of behavior (for an individual consumer and/or for aggregated group of consumers), retail trends and patterns, and other profile information. For example, a location profile analytics system as described herein can determine a probability that an approximate geographic location actually corresponds to a specific geographic location, such as a business location. The analysis performed by the location profile analytics system may be further refined based on a number of additional input parameters.