Abstract: A node in a blockchain network may initiate a non-fungible token identity, establish a profile for the non-fungible token identity, receive reputation data related to the non-fungible token identity, determine, based on the reputation data, a reputation score, append the non-fungible token identity with the reputation score as a non-fungible token metadata tag, and upload the non-fungible token identity and the metadata tag to an ID repository.

Abstract: An example operation may include one or more of receiving, by a validator node, candidate update code for installation on one of multiple networked ECUs of a vehicle as a target node, identifying one or more other ECUs on the network that communicate with the target node as impacted nodes, checking for known adverse conditions between the candidate update code and existing code of the impacted nodes, in the case an adverse condition is identified, preventing the update code from being installed on the target node, in the case no adverse condition is identified, and no adverse condition is identified by any peer validator node, allowing the update code to be installed on the target node, forming, by the validator node, a block containing information of the candidate update code and its installation disposition, and appending the block to a blockchain utilized by at least one of the peer validator nodes.

Abstract: Utilizing a computing device to generate a personalized maternal nutrition plan for a pregnant mother. The computing device receives real-time maternal physiological data, fetal physiological data, and real-time environmental data associated with the pregnant mother. A real-time relationship is established. The real-time relationship is compared with historically established relationships between pregnant mothers and fetuses. The maternal physiological data is compared with pre-pregnancy data of the pregnant mother. The computing device detects one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother. The computing device generates a maternal nutrition plan.

Abstract: An interleave module interleaves training and task support to assist a user to complete a task while simultaneously providing training to the user. The interleave module helps the user work towards a desired state using a task knowledge base while interjecting appropriate training based on need, the user's mental state and timing constraints. The interleave module may use a variety of input sensors for a subject and the agent to help determine actions to be taken to achieve the task goals and the user's mental state for training.

Abstract: Utilizing a computing device to generate a personalized maternal nutrition plan for a pregnant mother. The computing device receives real-time maternal physiological data, fetal physiological data, and real-time environmental data associated with the pregnant mother. A real-time relationship is established. The real-time relationship is compared with historically established relationships between pregnant mothers and fetuses. The maternal physiological data is compared with pre-pregnancy data of the pregnant mother. The computing device detects one or more abnormalities in the real-time established relationship between the pregnant mother and the fetus based upon the comparison of the real-time established relationship with historically established relationships and the comparison of the maternal physiological data with pre-pregnancy data of the pregnant mother. The computing device generates a maternal nutrition plan.

Abstract: A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.

Abstract: A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.

Abstract: An example operation may include one or more of receiving, by a validator node, candidate update code for installation on one of multiple networked ECUs of a vehicle as a target node, identifying one or more other ECUs on the network that communicate with the target node as impacted nodes, checking for known adverse conditions between the candidate update code and existing code of the impacted nodes, in the case an adverse condition is identified, preventing the update code from being installed on the target node, in the case no adverse condition is identified, and no adverse condition is identified by any peer validator node, allowing the update code to be installed on the target node, forming, by the validator node, a block containing information of the candidate update code and its installation disposition, and appending the block to a blockchain utilized by at least one of the peer validator nodes.

Abstract: The method includes identifying, by one or more computer processors, incoming data related to a source. The method further includes identifying, by one or more computer processors, data related to a recipient of incoming data from the source. The method further includes determining, by one or more computer processes, a relationship between the source and the recipient of the incoming data from the source. The method further includes calculating, by one or more computer processors, a risk indicator associated with the incoming data from the source based upon the identified data related to the source, the identified data related to the recipient and the determined relationship between the source and the recipient. The method further includes sending, by one or more computer processors, a notification to the recipient, wherein the notification includes at least the calculated risk indicator.

Abstract: A blockchain of transactions may be used for various purposes and may be later accessed by interested parties for ledger verification. One example method of operation may include one or more of receiving a request from a user device for a new agreement at a service provider server, identifying a type of service requested, retrieving service history information stored in a user profile associated with the user device, evaluating the service history information to create a smart contract defining a new service agreement, and storing the smart contract in a blockchain.

Abstract: A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.

Abstract: A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.

Abstract: The method includes identifying, by one or more computer processors, incoming data related to a source. The method further includes identifying, by one or more computer processors, data related to a recipient of incoming data from the source. The method further includes determining, by one or more computer processes, a relationship between the source and the recipient of the incoming data from the source. The method further includes calculating, by one or more computer processors, a risk indicator associated with the incoming data from the source based upon the identified data related to the source, the identified data related to the recipient and the determined relationship between the source and the recipient. The method further includes sending, by one or more computer processors, a notification to the recipient, wherein the notification includes at least the calculated risk indicator.

Abstract: The method includes identifying, by one or more computer processors, incoming data related to a source. The method further includes identifying, by one or more computer processors, data related to a recipient of incoming data from the source. The method further includes determining, by one or more computer processes, a relationship between the source and the recipient of the incoming data from the source. The method further includes calculating, by one or more computer processors, a risk indicator associated with the incoming data from the source based upon the identified data related to the source, the identified data related to the recipient and the determined relationship between the source and the recipient. The method further includes sending, by one or more computer processors, a notification to the recipient, wherein the notification includes at least the calculated risk indicator.