Abstract: Embodiments described herein relate to systems and methods of extracting liquid from empty barrels. In one aspect, a method includes heating a barrel with less than about 10 ml of free liquid disposed therein to expand pores in the barrel. The method further includes applying, after the heating, a negative pressure to an interior of a vessel in which the barrel is disposed, such that an amount of liquid is extracted from the barrel. The method includes collecting, after the applying, the amount of liquid within a collection container. In some embodiments, collecting the amount of liquid includes pumping the liquid through a tube that is disposed between an outer surface of the barrel and the collection container. In some embodiments, heating the barrel is via a heated blanket wrapped around the barrel. In some embodiments, heating the barrel is via placing the barrel in an oven.

Abstract: Embodiments described herein relate to systems and methods of extracting liquid from empty barrels. In one aspect, a method includes heating a barrel with less than about 10 ml of free liquid disposed therein to expand pores in the barrel. The method further includes applying, after the heating, a negative pressure to an interior of a vessel in which the barrel is disposed, such that an amount of liquid is extracted from the barrel. The method includes collecting, after the applying, the amount of liquid within a collection container. In some embodiments, collecting the amount of liquid includes pumping the liquid through a tube that is disposed between an outer surface of the barrel and the collection container. In some embodiments, heating the barrel is via a heated blanket wrapped around the barrel. In some embodiments, heating the barrel is via placing the barrel in an oven.

Abstract: Embodiments described herein relate to systems and methods of extracting liquid from empty barrels. In one aspect, a method includes heating a barrel with less than about 10 ml of free liquid disposed therein to expand pores in the barrel. The method further includes applying, after the heating, a negative pressure to an interior of a vessel in which the barrel is disposed, such that an amount of liquid is extracted from the barrel. The method includes collecting, after the applying, the amount of liquid within a collection container. In some embodiments, collecting the amount of liquid includes pumping the liquid through a tube that is disposed between an outer surface of the barrel and the collection container. In some embodiments, heating the barrel is via a heated blanket wrapped around the barrel. In some embodiments, heating the barrel is via placing the barrel in an oven.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: In some embodiments, a method includes retrieving data associated with each account from a set of accounts from one or more computing platforms and parsing the data to determine a set of characteristics associated with each account from the set of accounts. The method includes mapping, based on an entitlement value of each account, a first subset of accounts from the set of accounts to a first privilege value, and mapping, based on an entitlement value of each account, a second subset of accounts from the set of accounts to a second privilege value. The method includes generating a report indicating the first subset of accounts having the first privilege value and the second subset of accounts having the second privilege value. In some implementations, the method includes scheduling a set of jobs to execute the jobs automatically in response to at least one trigger event.

Abstract: Embodiments described herein relate to systems and methods of extracting liquid from empty barrels. In one aspect, a method includes heating a barrel with less than about 10 ml of free liquid disposed therein to expand pores in the barrel. The method further includes applying, after the heating, a negative pressure to an interior of a vessel in which the barrel is disposed, such that an amount of liquid is extracted from the barrel. The method includes collecting, after the applying, the amount of liquid within a collection container. In some embodiments, collecting the amount of liquid includes pumping the liquid through a tube that is disposed between an outer surface of the barrel and the collection container. In some embodiments, heating the barrel is via a heated blanket wrapped around the barrel. In some embodiments, heating the barrel is via placing the barrel in an oven.

Abstract: A method includes receiving a dataset that includes a plurality of input texts. Each input text from the plurality of texts is associated with a content category from a plurality of content categories based on a comparison between that input text and an intended meaning that is common for each comparison. For each model in a plurality of models, and for each content category from the plurality of content categories, that model is executed on each input text from the plurality of input texts to generate an average similarity/dissimilarity score for that content category. At least one model from the plurality of models is selected, based on the average similarity score for each content category from the plurality of content categories for each model in the plurality of models, to determine whether an input text is similar/dissimilar to the intended meaning.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: An apparatus includes a tester to detect a biological signature of a biological sample, a processor, and a memory operably coupled to the processor. The memory stores instructions to cause the processor to receive an indication of the biological signature from the tester, and to generate, using a smart contract and through communication with a distributed ledger, a cryptographic token including a digital identifier based on the biological signature. The cryptographic token is transmitted to a remote processor for verification of the biological sample, in response to receiving the cryptographic token. The tester can detect the biological signature within a predetermined test duration that is less than a DNA sequencing duration associated with the biological sample, and the biological signature has a data precision sufficient to uniquely identify the biological sample from a plurality of biological samples.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.

Abstract: A method for real-time remediation of a software script includes, during execution of the script, attempting to identify a first user interface (UI) object. In response to failing to identify the first UI object, similarity scores are calculated based on the data of the plurality of UI objects and historical data associated with the first UI object. A second UI object is identified, from the plurality of UI objects, based on the calculated similarity scores. The script and/or an object repository referenced by the script are then automatically modified so that subsequent execution of the script includes attempting to identify the second UI object instead of the first UI object.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.

Abstract: A processor-implemented method for the ownership transfer and tracking of tangible assets using a blockchain is described. In an embodiment, the method includes generating a root node associated with a tangible asset via a processor. The root node has a first hash value that represents a storage location of the root node, data associated with a tangible asset, and a second hash value that represents a storage location of the subsidiary node. The method also includes storing a hierarchical hash-linked tree structure in a non-transitory, processor-readable memory. The hierarchical hash-linked tree structure can include multiple nodes. The multiple nodes include the root node and the subsidiary node. The subsidiary node has the second hash value, and data associated with a tangible sub-asset of the tangible asset.

Abstract: Access to certain application programs and/or media content items at or from an online storefront are granted or denied for a requesting computing device based on whether a subject computing device is present at or within a threshold proximity to a reference computing device or a reference location. The requesting computing device may include the reference computing device or another computing device.

Abstract: A method of more efficient, phased, iterative processing of very large collections of electronic data for the purposes of electronic discovery and related applications is disclosed. The processing minimally includes: text extraction, and the creation of a keyword search index, but may include many additional stages of processing as well. The method further includes: definition of an initial set of characteristics that correspond to “interesting” data, followed by the iterative completion of processing of this data based on a combination of user feedback on the overall relevance of the documents being processed and the system's assessment of whether or not the data it has recently selected to promote in the processing completion queue has the desired quality and quantity of relevant data. The process continues until all identified data has either been fully processed, or discarded at some intermediate stage of processing as being likely irrelevant.

Abstract: A method is provided for directing calls placed to a telephone number associated with a user according to a reservation identifying the user, a workspace, and a start time. The method includes acts of receiving a first message from a telephone device located at the workspace in response to a first input at the telephone device on or after the start time, retrieving the reservation from a reservation database in response to receiving the first message, sending a second message to the telephone device based at least in part on a portion of the reservation identifying the user, receiving a third message sent in response to a second input at the telephone device, the third message including an identifier of the telephone device, retrieving the telephone number associated with the user from a user database, and directing calls placed to the telephone number associated with the user to the telephone device.

Abstract: A transaction card carrying encrypted information for verifying that the card has not been forged comprises a card stock, a magnetic stripe storing account information, a printed or embossed account number and a barcode. It is possible, using conventional point-of-sale terminal equipment and magnetic stripe reading and barcode scanning hardware, to determine whether the account information on the transaction card has been forged. This is done by extracting the account number from the magnetic stripe using a magnetic stripe reader or by entering it manually, decrypting the information stored on the barcode and comparing the decrypted information to a representation of the account number information.