Abstract: A method includes a computing device interpreting a request for a requesting entity to access a set of learning objects pertaining to a common topic represented in a virtual reality environment to produce a set of requested learning object identifiers. The method further includes determining whether a license smart contract for the set of learning objects associated with a non-fungible token of the object distributed ledger affirms access by the requesting entity to the set of learning objects. When access is affirmed, the method further includes generating the virtual reality environment utilizing a group of object representations in accordance with interaction information for at least some of the object representations of the group of object representations. The method further includes outputting the virtual reality environment to the requesting entity for interactive consumption.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by rendering an assessment asset for a first set of object representations to produce first portrayal 3-D video frames of a first piece of information for the virtual reality environment. The method further includes obtaining a first conveyance effectiveness level with regards to the first piece of information based on the first portrayal 3-D video frames within the virtual reality environment. When the first conveyance effectiveness level is less than a minimum conveyance effectiveness threshold level, the method further includes rendering an updated first set of object representations based on the first set of object representations and the first conveyance effectiveness level to produce updated first portrayal 3-D video frames for the first piece of information within the virtual reality environment.

Abstract: A method includes a computing device of a computing infrastructure interpreting a request from a user computing device of the computing infrastructure to cause a license of a set of learning objects pertaining to a common topic for use by the user computing device to produce licensee information for the set of learning objects. The method further includes identifying a non-fungible token (NFT) associated with the set of learning objects and establishing, with the user computing device, agreed licensing terms utilizing the licensee information and based on available licensing terms of a smart contract for the set of learning objects. The method further includes generating a license smart contract for the set of learning objects to include the licensee information and the agreed licensing terms and causing generation of a license block affiliated with the NFT via a blockchain of the object distributed ledger.

Abstract: A method executed by a computing entity includes obtaining a transaction token representing a first pending transaction associated with a transaction item and establishing a set of required public benefit asset information for subsequent acquisition of a set of public benefit credit assets based on the first pending transaction. The method further includes identifying, using a securely passing process, a secure first token on an object distributed ledger representing the set of public benefit credit assets based on the set of required public benefit asset information. The method further includes establishing, in accordance with the securely passing process, control over the secure first token representing the set of public benefit credit assets to produce an updated secure first token, where only a device possessing control over the secure first token may modify the secure first token.

Abstract: A method executed by a computing entity includes identifying, using a securely passing process and based on at least one of a public benefit project type and a public benefit project geographic location of selection criteria for a set of public benefit credit assets, a secure first token on an object distributed ledger representing the set of public benefit credit assets. The method further includes establishing, using the securely passing process, control over the secure first token representing the set of public benefit credit assets, where only a device possessing control over the secure first token may modify the secure first token.

Abstract: A method for execution by a computing entity includes obtaining first and second learning objects regarding a topic. The method further includes deriving a first set of knowledge test-points for the first learning object regarding the topic based on a first set of knowledge bullet-points. The method further includes deriving a second set of knowledge test-points for the second learning object regarding the topic based on the second set of knowledge bullet-points. The method further includes generating a first knowledge assessment asset for the first learning object regarding the topic based on the first set of knowledge test-points, an illustrative asset, and a first descriptive asset of the first learning object. The method further includes generating a second knowledge assessment asset for the second learning object regarding the topic based on the second set of knowledge test-points, the illustrative asset, and a second descriptive asset of the second learning object.

Abstract: A method for execution by a computing device of a storage network for transferring data includes detecting a shutdown associated with a local flash memory of the storage network. The method further includes determining whether to transfer encoded data slices stored in the local flash memory, wherein a plurality of data segments are dispersed storage error encoded in accordance with distributed data storage parameters to produce pluralities of sets of encoded data slices that include the encoded data slices. When determining to transfer, the method includes determining a group of encoded data slices stored in the local flash memory to transfer, determining at least one storage location for storage of the group of encoded data slices, transferring the group of encoded data slices to the at least one storage location and outputting a transfer message indicating that the group of encoded data slices has been transferred.

Abstract: A method performed by a computing device includes generating a comparative query entigen group set based on a comparative query in accordance with identigen rules, where the comparative query entigen group set represents a most likely interpretation of the comparative query. The method further includes obtaining a first response entigen group from a knowledge database based on a first comparative query entigen group of the comparative query entigen group set, where the first response entigen group substantially includes the first comparative query entigen group. The method further includes obtaining a second response entigen group from the knowledge database based on a second comparative query entigen group of the comparative query entigen group set, where the second response entigen group substantially includes the second comparative query entigen group. The method further includes generating a comparative response based on the first response entigen group and the second response entigen group.

Abstract: A method for execution by a computing device includes obtaining a phrase that includes string of words and generating a valid sequence of words utilizing the phrase. The method further includes identifying a set of identigens for each word of the valid sequence of words to produce sets of identigens. The method further includes identifying, for each identigen of the sets of identigens, a word type associated with phrase structure grammar rules to produce sets of identigen-type associations. The method further includes interpreting, utilizing the phrase structure grammar rules, the sets of identigen-type associations to produce an entigen group. The entigen group represents a most likely interpretation of the phrase.

Abstract: A head unit system for controlling an object includes a secondary object sensor and a head unit device that include shear thickening fluid (STF) and a chamber configured to contain the STF. The chamber further includes a front channel and a back channel. The head unit device further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber to control motion of the object with regards to a secondary object.

Abstract: A head unit system for controlling motion of an object includes a secondary object sensor and a head unit device that include shear thickening fluid (STF) and a chamber configured to contain the STF. The chamber further includes a front channel and a back channel. The head unit device further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber to control motion of the object with regards to a secondary object.

Abstract: A head unit system for controlling motion of an object includes an environment sensor and a head unit device that include shear thickening fluid (STF) and a chamber configured to contain the STF. The chamber further includes front and back channels. The head unit device further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber to abate an external factor of concern associated with an external environment as sensed by the environment sensor.

Abstract: A method begins by a processing module of a storage network analyzing storage network memory for a level of usability and based on the analyzing, selecting alternative memory available for receipt of encoded data slices stored in current memory, where a data object is segmented into a plurality of data segments and a data segment of the plurality of data segments is dispersed error encoded in accordance with dispersed error encoding parameters to produce a set of encoded data slices. The method continues with the processing module determining whether to move encoded data slices from current memory to alternative memory and based on a determination to move slices, allocating alternative memory. Finally, the processing module moves at least some encoded data slices from a current memory to alternate memory and updates a memory assignment mechanism for the at least some encoded data slices.

Abstract: A method for utilizing a multi-disciplined learning tool regarding a topic includes generating a fundamental illustrative model based on illustrative assets of a lesson that includes learning objects. The method further includes modifying the fundamental illustrative model to illustrate first and second sets of teaching assets of a first learning object to produce first and second learning illustrative models. When enabled, the method further includes modifying the fundamental illustrative model to illustrate third and fourth sets of teaching assets of a second learning object to produce third and fourth learning illustrative models. The method further includes outputting at least the first and second learning illustrative models.

Abstract: A method executed by a computing device includes obtaining a string of words and determining whether two or more words of the string of words are in a word group. When the two or more words are in the word group, the method further includes determining a set of identigens for each word of the word group to produce sets of identigens, where a set of identigens of the sets of identigens represents one or more different meanings of a word of the word group. The method further includes interpreting, using identigen pairing rules, the sets of identigens to produce an entigen group. The method further includes assigning a new entigen to represent the entigen group, where the new entigen represents a most likely meaning interpretation of the word group.

Abstract: A method for improving learning comprehension regarding a lesson includes modifying a fundamental illustrative model to illustrate a first set of learning assets of a first learning object using an illustration approach to produce a first learning illustrative model. The lesson includes learning objects which includes the first learning object. The fundamental illustrative model is based on illustrative assets of the lesson. The method further includes obtaining a first comprehension evaluation for the first learning illustrative model and modifying the illustration approach based on the first comprehension evaluation for the first learning illustrative model to produce an updated illustration approach. The method further includes modifying the fundamental illustrative model to illustrate a second set of learning assets of a second learning object using the updated illustration approach to produce a second learning illustrative model.

Abstract: A method includes a computing device of a computing infrastructure interpreting a request from a patent owner computing device to make available for licensing a set of patents to produce patent basics of a smart contract for the set of patents, The method further includes verifying, with a patent issuance computing device of the computing infrastructure, validity of the patent basics. When the patent basics are valid, the method further includes establishing available license terms of the smart contract for the set of patents, establishing available payment terms of the smart contract for the set of patents, and causing generation of a non-fungible token associated with the smart contract in the patent distributed ledger.

Abstract: A method for utilizing a patent distributed ledger includes a computing device of a computing infrastructure obtaining an indication of potential use of a set of patents by a user computing device and issuing a bilateral licensing request to the user computing device. The method further includes interpreting a request from the user computing device to cause a license of the set of patents for use by the user computing device to produce licensee information and identifying a non-fungible token (NFT) associated with the set of patents. The method further includes establishing agreed license terms and agreed payment terms of a smart contract to produce a new smart contract and causing generation of a new block with the new smart contract for a blockchain of the patent distributed ledger associated with the NFT.

Abstract: A computing device includes processing circuitry configured to determine whether to modify the dispersed error encoding parameters of a set of encoded data slices (EDSs) stored in a distributed storage network to produce a set of modified EDSs, wherein a data object is segmented into a plurality of data segments and in response to a determination to modify the dispersed error encoding parameters of the set of EDSs, identify a plurality of storage units to store the modified EDSs and determine modified dispersed error encoding parameters for the modified EDSs. The computing device is further configured to assign each storage unit of the plurality of storage units to execute one or more storage modification tasks associated with producing the modified EDSs; and transmit one or more EDS of the set of EDSs to each storage unit of the plurality of storage units for modification and storage.

Abstract: A head unit system for controlling motion of an object includes a set of secondary object sensors and head unit devices that include shear thickening fluid (STF) and a chamber configured to contain a portion of the STF. The chamber further includes a front channel and a back channel. The head unit system further includes a piston housed at least partially radially within the piston compartment and separating the back channel and the front channel. The piston includes a first piston bypass and a second piston bypasses to control flow of the STF between opposite sides of the piston. The chamber further includes a set of fluid flow sensors and a set of fluid manipulation emitters to control the flow of the STF to cause selection of one of a variety of shear rates for the STF within the chamber.