Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a contextual transformation of an analytical model for an industrial internet of things (IIoT) edge node. For instance, the method may include receiving the analytical model from a cloud service; obtaining local data of the IIoT edge node; analyzing the local data to determine a situational context of the IIoT edge node; determining whether to transform the analytical model based on a fit between the analytical model and the situational context; and in response to determining to transform the analytical model, transforming the analytical model based on the situational context to derive a transformed analytical model.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, comprising: performing a situation analysis to determine a required change in one or more of an analytical model, a runtime component, and a functional block of the IIoT edge node based on a change in the one or more functions; and automatically provisioning a new or updated functional module to the IIoT edge node, based on the situation analysis, the new or updated functional module including one or more components, wherein each component includes at least one of a rules set, a complex domain expression with respect to a process industry, an analytical model, and a protocol decoder.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a contextual transformation of an analytical model for an industrial internet of things (IIoT) edge node. For instance, the method may include receiving the analytical model from a cloud service; obtaining local data of the IIoT edge node; analyzing the local data to determine a situational context of the IIoT edge node; determining whether to transform the analytical model based on a fit between the analytical model and the situational context; and in response to determining to transform the analytical model, transforming the analytical model based on the situational context to derive a transformed analytical model.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a contextual transformation of an analytical model for an industrial internet of things (IIoT) edge node. For instance, the method may include receiving the analytical model from a cloud service; obtaining local data of the IIoT edge node; analyzing the local data to determine a situational context of the IIoT edge node; determining whether to transform the analytical model based on a fit between the analytical model and the situational context; and in response to determining to transform the analytical model, transforming the analytical model based on the situational context to derive a transformed analytical model.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, comprising: performing a situation analysis to determine a required change in one or more of an analytical model, a runtime component, and a functional block of the IIoT edge node based on a change in the one or more functions; and automatically provisioning a new or updated functional module to the IIoT edge node, based on the situation analysis, the new or updated functional module including one or more components, wherein each component includes at least one of a rules set, a complex domain expression with respect to a process industry, an analytical model, and a protocol decoder.

Abstract: Systems and methods are disclosed for executing a conversational interface for autonomous assembly and configuration of an Industrial Internet of Things (IIoT) gateway.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, including: performing a situation analysis to determine a required change in one or more of an analytical model, a runtime component, and a functional block of the IIoT edge node based on a change in the one or more functions; and automatically provisioning a new or updated functional module to the IIoT edge node, based on the situation analysis, the new or updated functional module including one or more components, wherein each component includes at least one of a rules set, a complex domain expression with respect to a process industry, an analytical model, and a protocol decoder.

Abstract: Systems and methods are disclosed for executing a conversational interface for autonomous assembly and configuration of an Industrial Internet of Things (IIoT) gateway.

Abstract: An organosiloxane composition and the use of such compositions is provided. The organosiloxane composition comprises (a) 20-55 wt. % of at least one polymerization-effective polymer bearing two or more silicon atoms; (b) 24-60 wt. % of a first filler of average particle size from 0.1 ?m to 10 ?m; (c) optionally a second filler; (d) a crosslinking agent; and (e) a catalyst. The use of the first filler having that size range and present in this amount provides improved dirt pick up resistance to films and coatings formed from the compositions.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a contextual transformation of an analytical model for an industrial internet of things (IIoT) edge node. For instance, the method may include receiving the analytical model from a cloud service; obtaining local data of the IIoT edge node; analyzing the local data to determine a situational context of the IIoT edge node; determining whether to transform the analytical model based on a fit between the analytical model and the situational context; and in response to determining to transform the analytical model, transforming the analytical model based on the situational context to derive a transformed analytical model.

Abstract: Systems and methods are disclosed for executing a conversational interface for autonomous assembly and configuration of an Industrial Internet of Things (IIoT) gateway.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, comprising: performing a situation analysis to determine a required change in one or more of an analytical model, a runtime component, and a functional block of the IIoT edge node based on a change in the one or more functions; and automatically provisioning a new or updated functional module to the IIoT edge node, based on the situation analysis, the new or updated functional module including one or more components, wherein each component includes at least one of a rules set, a complex domain expression with respect to a process industry, an analytical model, and a protocol decoder.

Abstract: A silicone adhesive composition including an ionic silicone and useful for healthcare applications such as wound care and drug delivery.

Abstract: The present invention relates to a method for pest management using inhibitory repeat domain IRD 9 (Seq ID No.2) proteinase inhibitor showing enhanced inhibitory activity against the gut proteases of insects. More particularly, the present invention relates to a IRD 9 (Seq ID No.2) proteinase inhibitor from non-host plant Capsicum annuum, which possesses significantly high insect protease inhibition activity against the gut proteases of Helicoverpa armigera.

Abstract: The present invention relates to a method for pest management using inhibitory repeat domain IRD 9 (Seq ID No.2) proteinase inhibitor showing enhanced inhibitory activity against the gut proteases of insects. More particularly, the present invention relates to a IRD 9 (Seq ID No.2) proteinase inhibitor from non-host plant Capsicum annuum, which possesses significantly high insect protease inhibition activity against the gut proteases of Helicoverpa armigera.

Abstract: A composition including an actinic radiation or thermally curable polyorganosiloxane ionomer having one or more reactive groups, for example, vinyl, acrylate, epoxy groups.

Abstract: A polymer composite composition wherein at least one of the constituents is a silicone ionomer and the other constituent is polymer.

Abstract: A curable composition of ionic silicones includes a silicone having the formula M1aM2bM3cD1dD2eD3fT1gT2hT3iQj having ionic groups and crosslinking functional groups. The composition can further include polyorganosiloxane having the average compositional formula R26nR27o(OH)pSiO(4-n-o-p)/2, organohydrogenoligosiloxane or organohydrogenpolysiloxane that has the average compositional formula HqR28rSiO(4-q-r)/2 a transition metal catalyst and other components such as UV stabilizer, cure accelerator, pigment, dye, antimicrobial agent, biocide, surfactant, functional or non-functional filler, conductive filler, finely divided surface treated/untreated metal oxides, clay, plasticizers, tackifiers, mold release agents, adhesion promoters, compatibilizers, pharmaceutical excipients, surfactants or antistatic agents.

Abstract: A distributed digital communications network has an originating node and a multiplicity of destination nodes. The various nodes are interconnected by links and at least some of the nodes are accessible to other nodes only by multiple links. To save time in establishing the least cost path from an originating node to a destination node, the attributes of the various links are stored in memory at the originating node, a least cost path from the originating node to a destination node is calculated in response to a connection request and stored in memory. Then, when a subsequent connection request to any destination node requires the same link attributes as the least cost path already stored in memory, that same least cost path is used if it is still operational. Significant time saving is achieved in that no new least cost calculation need be made.