Abstract: Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Abstract: Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Abstract: A computer-implemented method, a computer program product, and an incremental learning system are provided for language learning and speech enhancement. The method includes transforming acoustic utterances uttered by an individual into textual representations thereof, by a voice-to-language processor configured to perform speech recognition. The method further includes accelerating speech development in the individual, by an incremental learning system that includes the voice-to-language processor and that processes the acoustic utterances using natural language processing and analytics to determine and incrementally provide new material to the individual for learning.

Abstract: Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Abstract: Embodiments of the invention are directed to a computer-implemented method for generating a sleep optimization plan. A non-limiting example of the computer-implemented method includes receiving, by a processor, genetic data for a user. The method also includes receiving, by the processor, Internet of Things (IoT) device data for the user. The method also includes generating, by the processor, a sleep duration measurement for the user based at last in part upon the IoT device data. The method also includes generating, by the processor, a sleep optimization plan for the user based at least in part upon the genetic data.

Abstract: Among other things, a circuit includes a first and a second electromagnetic resonator, each configured to operate in a transverse electromagnetic mode, and a coupling device configured to operate in the transverse electromagnetic mode, wherein the coupling device is connected to the first and second electromagnetic resonators and inductively couples the first and second electromagnetic resonators.

Abstract: Among other things, a circuit includes a first and a second electromagnetic resonator, each configured to operate in a transverse electromagnetic mode, and a coupling device configured to operate in the transverse electromagnetic mode, wherein the coupling device is connected to the first and second electromagnetic resonators and inductively couples the first and second electromagnetic resonators.

Abstract: This invention relates to an improved adhesive composition having extended holding power accompanied by adhesion building properties during use and having increased gel adhesion, which composition consists essentially of (a) from about 10 to about 35 wt. % lower alkyl vinyl ether-maleic acid copolymer wherein from 0 to about 90 wt. % of the copolymer carboxyl units are converted to a mixture of salts selected from the group of calcium, sodium, strontium, zinc, magnesium and potassium; (b) a crosslinked non-ionic natural guar gum in a mole ratio of between about 0.75:1 and about 5:1 with respect to the copolymer; and (c) from about 30 to about 70 wt. % oil base as a carrier. The invention also relates to the preparation and use of said adhesive for affixing dentures.