Abstract: The disclosure herein relates to methods and systems of that facilitate instant payment of invoices based on automatic, intelligent, predictions that a buyer will approve an invoice without express input by the buyer. For example, a system may determine a probability that an invoice will be approved for payment by a buyer with express approval from the buyer. Once an invoice is automatically approved for payment, the system may employ various automated systems to facilitate payment to suppliers without the need for suppliers to extract virtual card data or other payment information from email payment requests or other invoice payment requirements to receive payment. For example, the system may generate calls to automatically generate virtual card numbers on behalf of buyers and submit payment messages for payments to suppliers using the virtual card numbers.

Abstract: The disclosure herein relates to methods and systems of that facilitate instant payment of invoices based on automatic, intelligent, predictions that a buyer will approve an invoice without express input by the buyer. For example, a system may determine a probability that an invoice will be approved for payment by a buyer with express approval from the buyer. Once an invoice is automatically approved for payment, the system may employ various automated systems to facilitate payment to suppliers without the need for suppliers to extract virtual card data or other payment information from email payment requests or other invoice payment requirements to receive payment. For example, the system may generate calls to automatically generate virtual card numbers on behalf of buyers and submit payment messages for payments to suppliers using the virtual card numbers.

Abstract: Predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is described. A training data set is constructed from a series of libraries, including at least one library comprising genomic, proteomic, and research data specific to non-humans. A predictive machine learning model is developed based on the constructed training data set and utilized to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. A subset of sequences is selected for evaluation from the plurality of sequences based on the predicted quality or performance and candidate samples are designed derived from the non-human donor using the selected subset of sequences.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: The disclosure herein relates to methods and systems of that facilitate instant payment of invoices based on automatic, intelligent, predictions that a buyer will approve an invoice without express input by the buyer. For example, a system may determine a probability that an invoice will be approved for payment by a buyer with express approval from the buyer. Once an invoice is automatically approved for payment, the system may employ various automated systems to facilitate payment to suppliers without the need for suppliers to extract virtual card data or other payment information from email payment requests or other invoice payment requirements to receive payment. For example, the system may generate calls to automatically generate virtual card numbers on behalf of buyers and submit payment messages for payments to suppliers using the virtual card numbers.

Abstract: The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

Abstract: The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A system for checking references is disclosed that can be initiated by an individual for self-verification in anticipation of applying for a position, or a potential employer or user. The system may generate a survey that is distributed to references who can provide feedback based on the survey prompts. The survey may be drafted using parameters input by the individual, or the survey may be drafted using employment related information gathered from another source, for instance third-party website that collects employment data, such as O*NET. Based on received survey responses, a reference report is generated. The reference checking system also comprises an adverse action process and monitoring system that enables FCRA compliance in the event the reference report results in an adverse action. Also, the reference checking system provides a structured database for storing and retrieving reference reports designed to help reduce repeat requests for feedback from reference providers.

Abstract: A data enrichment environment using blockchain is disclosed. A client may interact with the data enrichment environment to generate an enrichment smart contract and deploy the enrichment smart contract to the blockchain. The enrichment smart contract may comprise data indicating the enrichment inquiry. One or more solvers may interact with the data enrichment environment to submit proposed enrichment solutions based on the enrichment inquiry. One or more observers may interact with the data enrichment environment to review and vote on the proposed enrichment solutions. The data enrichment environment may evaluate the proposed enrichment solutions based on contract conditions.

Abstract: A network device for performing bidirectional forwarding detection (BFD) includes a processor that receives packets from a peer; a session state machine that manages a session with the peer; a receive module that determines whether the packet indicates no change to the session; and a transmit module. The transmit module transmits BFD packets at an interval determined by the session state machine and transmits a session change packet in response to a configuration update by the session state machine.

Abstract: A data enrichment environment using blockchain is disclosed. A client may interact with the data enrichment environment to generate an enrichment smart contract and deploy the enrichment smart contract to the blockchain. The enrichment smart contract may comprise data indicating the enrichment inquiry. One or more solvers may interact with the data enrichment environment to submit proposed enrichment solutions based on the enrichment inquiry. One or more observers may interact with the data enrichment environment to review and vote on the proposed enrichment solutions. The data enrichment environment may evaluate the proposed enrichment solutions based on contract conditions.

Abstract: Presented are a method, apparatus, and computer-readable medium for aiding emergency response. The method includes receiving, by a processor, a plurality of data corresponding to a geographic location from a plurality of data sources. The method further includes aggregating, by the processor, the plurality of data. The method still further includes determining, by the processor, a first profile and a second profile based on the aggregated plurality of data. The method can conclude with transmitting, by the processor, the first profile to a plurality of user equipments and the second profile to at least one user equipment, wherein the at least one user equipment is different from the plurality of user equipments.

Abstract: Presented are a method, apparatus, and computer-readable medium for aiding emergency response. The method includes receiving, by a processor, a plurality of data corresponding to a geographic location from a plurality of data sources. The method further includes aggregating, by the processor, the plurality of data. The method still further includes determining, by the processor, a first profile and a second profile based on the aggregated plurality of data. The method can conclude with transmitting, by the processor, the first profile to a plurality of user equipments and the second profile to at least one user equipment, wherein the at least one user equipment is different from the plurality of user equipments.

Abstract: Presented are a method, apparatus, and computer-readable medium for aiding emergency response. The method includes receiving, by a processor, a plurality of data corresponding to a geographic location from a plurality of data sources. The method further includes aggregating, by the processor, the plurality of data. The method still further includes determining, by the processor, a first profile and a second profile based on the aggregated plurality of data. The method can conclude with transmitting, by the processor, the first profile to a plurality of user equipments and the second profile to at least one user equipment, wherein the at least one user equipment is different from the plurality of user equipments.

Abstract: A system for checking references is disclosed that can be initiated by an individual for self-verification in anticipation of applying for a position, or a potential employer or user. The system may generate a survey that is distributed to references who can provide feedback based on the survey prompts. The survey may be drafted using parameters input by the individual, or the survey may be drafted using employment related information gathered from another source, for instance third-party website that collects employment data, such as O*NET. Based on received survey responses, a reference report is generated. The reference checking system also comprises an adverse action process and monitoring system that enables FCRA compliance in the event the reference report results in an adverse action. Also, the reference checking system provides a structured database for storing and retrieving reference reports designed to help reduce repeal requests for feedback from referee providers.

Abstract: A network device for performing bidirectional forwarding detection (BFD) includes a processor that receives packets from a peer; a session state machine that manages a session with the peer; a receive module that determines whether the packet indicates no change to the session; and a transmit module. The transmit module transmits BFD packets at an interval determined by the session state machine and transmits a session change packet in response to a configuration update by the session state machine.

Abstract: Presented are a method, apparatus, and computer-readable medium for aiding emergency response. The method includes receiving, by a processor, a plurality of data corresponding to a geographic location from a plurality of data sources. The method further includes aggregating, by the processor, the plurality of data. The method still further includes determining, by the processor, a first profile and a second profile based on the aggregated plurality of data. The method can conclude with transmitting, by the processor, the first profile to a plurality of user equipments and the second profile to at least one user equipment, wherein the at least one user equipment is different from the plurality of user equipments.

Abstract: Presented are a method, apparatus, and computer-readable medium for aiding emergency response. The method includes receiving, by a processor, a plurality of data corresponding to a geographic location from a plurality of data sources. The method further includes aggregating, by the processor, the plurality of data. The method still further includes determining, by the processor, a first profile and a second profile based on the aggregated plurality of data. The method can conclude with transmitting, by the processor, the first profile to a plurality of user equipments and the second profile to at least one user equipment, wherein the at least one user equipment is different from the plurality of user equipments.