Abstract: An optical sensor may include a housing, a printed circuit board, an optical emitter, and an optical detector. The housing can define a channel configured to receive a transparent tubing line through which fluid can flow during operation. The housing can have multiple optical pathways, including a primary optical pathway transecting the channel, a light emission optical pathway, and a light detection optical pathway. The optical emitter and optical detector can each be mounted on the printed circuit board. Further, the housing may be positioned on the printed circuit board with the optical emitter aligned to emit light into the light emission optical pathway and the optical detector aligned to receive light from the light detection optical pathway.

Abstract: Embodiments for building domain models from dialog interactions by a processor. A domain knowledge may be elicited from one or more dialog interactions with one or more users according to one or more dialog strategies. One or more domain models may be built and/or enhanced according to the domain knowledge.

Abstract: A method of provisioning or distributing a cryptographic digital asset and supervising a secondary transfer of the digital asset includes receiving a transaction confirmation indicative of a completed transaction of a product from a first party to a second party; determining or receiving a unique owner identification (ID) code or wallet address of the second party; recording or transmitting a request to record ownership of the cryptographic digital asset to the unique owner identification (ID) code or wallet address of the second party; receiving a request to transfer the cryptographic digital asset to a second unique owner identification (ID) code or second wallet address; and recording or transmitting a request to record ownership of the cryptographic digital asset to the second unique owner identification (ID) code or second wallet address.

Abstract: Various embodiments are provided for understanding user sentiment in a dialog system in a computing environment by a processor. A sentiment of a user may be detected according to a sentiment analysis and user feedback during a dialog with the user. One or more reasons for the sentiment of the user may be identified. Behavior of the dialog system may be adjusted according to the one or more reasons.

Abstract: Presented are cryptographic digital assets for articles of footwear, methods for making/using such cryptographic digital assets, and decentralized computing systems with blockchain control logic for mining, intermingling, and exchanging blockchain-enabled digital shoes. A method of provisioning the digital assets includes receiving a transaction confirmation indicative of a completed transaction of an article of footwear or a digital file representative thereof from a first party to a second party, and transmitting a cryptographic block to a distributed blockchain ledger to record transfer of the cryptographic digital asset to the second party.

Abstract: Aspects described herein may allow for receiving, by a detection server, a plurality of configuration parameters, wherein each configuration parameter includes a type of a risk and an associated level of the risk, with a corresponding automated remediation action for each configuration parameter. A remediation management framework authenticates the detection server for access to the remediation management framework and initiates a scanning of a system of interest, based on the plurality of configuration parameters, by the detection server, to identify one or more risk findings. The remediation management framework receives the identified one more risk findings; and matches each of the one or more risk findings with the plurality of configuration parameters, which then triggers by the remediation management framework, the corresponding automated remediation action associated with each of the one or more risk findings.

Abstract: Aspects described herein may allow for receiving, by a detection server, a plurality of configuration parameters, wherein each configuration parameter includes a type of a risk and an associated level of the risk, with a corresponding automated remediation action for each configuration parameter. A remediation management framework authenticates the detection server for access to the remediation management framework and initiates a scanning of a system of interest, based on the plurality of configuration parameters, by the detection server, to identify one or more risk findings. The remediation management framework receives the identified one more risk findings; and matches each of the one or more risk findings with the plurality of configuration parameters, which then triggers by the remediation management framework, the corresponding automated remediation action associated with each of the one or more risk findings.

Abstract: Methods are disclosed for reducing the size of a k-mer reference database used for queries and/or taxonomic classifications when available computer storage and/or memory are inadequate. The k-mers of the reference database have been previously classified to a taxonomy, preferably based on genetic distances. In one method, the k-mers are separated into one or more groups followed by removing k-mers common to the groups. In another method, k-mers are removed based on a selected taxonomic threshold level. A third method combines the features of the previous two methods. The methods are adaptable to machine learning.