Abstract: A grooming tool for use on an animal includes a base arrangement sized for grasping by a human hand. A first section of grooming members is secured to the base arrangement and includes flexible members. A second section of grooming members is spaced from the first section and includes flexible members. A third section of rigid grooming members are positioned between the first section and second section of grooming members. The tool can include a grip assembly having a pivotable grip member.

Abstract: A method of characterizing brain activity includes receiving an electroencephalogram (EEG) output. In addition, the method includes determining a mathematical model of a brain using the EEG output, wherein the mathematical model comprises a plurality of ordinary differential equations (ODEs) that are determined based on the EEG output. Further, the method includes characterizing brain activity of a subject using the mathematical model.

Abstract: A grooming tool for use on an animal includes a base arrangement sized for grasping by a human hand. A first section of grooming members is secured to the base arrangement and includes flexible members. A second section of grooming members is spaced from the first section and includes flexible members. A third section of rigid grooming members are positioned between the first section and second section of grooming members. The tool can include a grip assembly having a pivotable grip member.

Abstract: System and methods obtain ontology and contextual data for a plurality of domains, and generate an ontological knowledge graph using the ontology and contextual data. The ontological knowledge graph includes a plurality of nodes with links between the plurality of nodes, wherein the plurality of nodes are contained within a spherically represented data structure. The plurality of nodes with the links are displayed in a curvilinear orthography world metaphor digital view within the spherically represented data structure.

Abstract: A computing device for risk-based analysis of a payment card transaction is provided herein. The computing device includes a processor communicatively coupled to a memory. The computing device is programmed to receive a request for authentication of the payment card transaction. The payment card transaction includes a suspect consumer presenting a payment card from a digital wallet of a privileged cardholder. The computing device is also programmed to identify fraud feature data from the digital wallet. The computing device is further programmed to compute a fraud score for the payment card transaction based at least in part on the fraud feature data. The computing device is still further programmed to provide the fraud score for use during authentication of the suspect consumer.

Abstract: A method, implemented using an authentication monitoring (AM) computer device, for monitoring an execution of a digital authentication program is provided. The method includes receiving an authentication data file from an authenticating computer device executing the digital authentication program, wherein the authenticating computer device is associated with an authenticating entity, processing the authentication data file to extract at least one authentication value, testing the authentication value against at least one authentication rule associated with the digital authentication program, determining that a stored metric for the authenticating computer device fails to meet a predefined benchmark, wherein the stored metric is associated with the digital authentication program, and initiating an authentication remediation process, wherein the authentication remediation process causes an update to the digital authentication program used by the authenticating computer device.

Abstract: Implementations include determining a set of routes for delivery of assets within a delivery network based on realized and forecasted demand for a period, during at least partial execution of the set of routes, receiving real-time data representative of delivery of assets, and updated demand forecasts, determining, by an optimization controller, a time-to-trigger, and a cut-off time, and an updated demand forecast, the time-to-trigger defining an interval, at which the set of routes for delivery of assets is to be reoptimized, in response to the time-to-trigger being achieved, re-optimizing, by a route optimization module of the continuous delivery platform, the set of routes to provide a revised set of routes, and conveying at least one route of the revised set of routes to a delivery personnel, the at least one route being different from any route in the set of routes, and being executed during the period.

Abstract: A computing device for providing risk-based decisioning to a merchant during payment card transactions is provided herein. The computing device is programmed to receive, from the merchant, transaction data associated with a payment card transaction. The computing device is further programmed to compute a risk score for the payment card transaction based at least in part on the transaction data and infrastructure data associated with the payment card transaction. The computing device is also programmed transmit an indication of acceptable risk to the merchant if the risk score satisfies a first pre-defined threshold. The computing device is still further programmed to initiate an authentication challenge of the suspect consumer if the risk score satisfies a second pre-defined threshold.

Abstract: A computing device for risk-based analysis of a payment card transaction is provided herein. The computing device includes a processor communicatively coupled to a memory. The computing device is programmed to receive a request for authentication of the payment card transaction. The payment card transaction includes a suspect consumer presenting a payment card from a digital wallet of a privileged cardholder. The computing device is also programmed to identify fraud feature data from the digital wallet. The computing device is further programmed to compute a fraud score for the payment card transaction based at least in part on the fraud feature data. The computing device is still further programmed to provide the fraud score for use during authentication of the suspect consumer.

Abstract: A computing device for risk-based analysis of a payment card transaction is provided herein. The computing device includes a processor communicatively coupled to a memory. The computing device is programmed to receive a request for authentication of the payment card transaction. The payment card transaction includes a suspect consumer presenting a payment card from a digital wallet of a privileged cardholder. The computing device is also programmed to identify fraud feature data from the digital wallet. The computing device is further programmed to compute a fraud score for the payment card transaction based at least in part on the fraud feature data. The computing device is still further programmed to provide the fraud score for use during authentication of the suspect consumer.

Abstract: Implementations include determining a set of routes for delivery of assets within a delivery network based on realized and forecasted demand for a period, during at least partial execution of the set of routes, receiving real-time data representative of delivery of assets, and updated demand forecasts, determining, by an optimization controller, a time-to-trigger, and a cut-off time, and an updated demand forecast, the time-to-trigger defining an interval, at which the set of routes for delivery of assets is to be reoptimized, in response to the time-to-trigger being achieved, re-optimizing, by a route optimization module of the continuous delivery platform, the set of routes to provide a revised set of routes, and conveying at least one route of the revised set of routes to a delivery personnel, the at least one route being different from any route in the set of routes, and being executed during the period.

Abstract: A computing device for providing risk-based decisioning to a merchant during payment card transactions is provided herein. The computing device is programmed to receive, from the merchant, transaction data associated with a payment card transaction. The computing device is further programmed to compute a risk score for the payment card transaction based at least in part on the transaction data and infrastructure data associated with the payment card transaction. The computing device is also programmed transmit an indication of acceptable risk to the merchant if the risk score satisfies a first pre-defined threshold. The computing device is still further programmed to initiate an authentication challenge of the suspect consumer if the risk score satisfies a second pre-defined threshold.

Abstract: A method, implemented using an authentication monitoring (AM) computer device, for monitoring an execution of a digital authentication program is provided. The method includes receiving an authentication data file from an authenticating computer device executing the digital authentication program, wherein the authenticating computer device is associated with an authenticating entity, processing the authentication data file to extract at least one authentication value, testing the authentication value against at least one authentication rule associated with the digital authentication program, determining that a stored metric for the authenticating computer device fails to meet a predefined benchmark, wherein the stored metric is associated with the digital authentication program, and initiating an authentication remediation process, wherein the authentication remediation process causes an update to the digital authentication program used by the authenticating computer device.

Abstract: A method, implemented using an authentication monitoring (AM) computer device, for monitoring an execution of a digital authentication program is provided. The method includes receiving an authentication data file from an authenticating computer device executing the digital authentication program, wherein the authenticating computer device is associated with an authenticating entity, processing the authentication data file to extract at least one authentication value, testing the authentication value against at least one authentication rule associated with the digital authentication program, determining that a stored metric for the authenticating computer device fails to meet a predefined benchmark, wherein the stored metric is associated with the digital authentication program, and initiating an authentication remediation process, wherein the authentication remediation process causes an update to the digital authentication program used by the authenticating computer device.

Abstract: A cluster cap sealing mechanism and method for a Geodesic construction. A packaging for a sealant placed in a ring wherein the ring is a sealant delivery device for providing a predetermined volume of sealant to the joints of the Geodesic construction.

Abstract: A method, implemented using an authentication monitoring (AM) computer device, for monitoring an execution of a digital authentication program is provided. The method includes receiving an authentication data file from an authenticating computer device executing the digital authentication program, wherein the authenticating computer device is associated with an authenticating entity, processing the authentication data file to extract at least one authentication value, testing the authentication value against at least one authentication rule associated with the digital authentication program, determining that a stored metric for the authenticating computer device fails to meet a predefined benchmark, wherein the stored metric is associated with the digital authentication program, and initiating an authentication remediation process, wherein the authentication remediation process causes an update to the digital authentication program used by the authenticating computer device.

Abstract: The present invention is directed to an impact absorption and detection system, including: one or more deflectable arch springs, having at least one leg with proximal and distal ends; and one or more bases, each of the proximal and distal ends attached to a base. Some embodiments may include: a plurality of arch spring assemblies, including: a deflectable arch spring having at least one leg with proximal and distal ends; one or more bases, each of the proximal and distal ends attached to a base; at least one sensor attached to the arch spring assembly; wherein the plurality of arch spring assemblies is configured in a chainmail arrangement and a base of one arch spring assembly is connected with a base of another arch spring assembly; a processor electrically connected to the sensors attached to the plurality of arch spring assemblies; and a data store in communication with the processor.

Abstract: A computing device for providing risk-based decisioning to a merchant during payment card transactions is provided herein. The computing device is programmed to receive, from the merchant, transaction data associated with a payment card transaction. The computing device is further programmed to compute a risk score for the payment card transaction based at least in part on the transaction data and infrastructure data associated with the payment card transaction. The computing device is also programmed transmit an indication of acceptable risk to the merchant if the risk score satisfies a first pre-defined threshold. The computing device is still further programmed to initiate an authentication challenge of the suspect consumer if the risk score satisfies a second pre-defined threshold.

Abstract: A computing device for risk-based analysis of a payment card transaction is provided herein. The computing device includes a processor communicatively coupled to a memory. The computing device is programmed to receive a request for authentication of the payment card transaction. The payment card transaction includes a suspect consumer presenting a payment card from a digital wallet of a privileged cardholder. The computing device is also programmed to identify fraud feature data from the digital wallet. The computing device is further programmed to compute a fraud score for the payment card transaction based at least in part on the fraud feature data. The computing device is still further programmed to provide the fraud score for use during authentication of the suspect consumer.