Abstract: A method at a network element for securely sharing services across domains, the method including receiving a request at the network element to add a first domain and an edge domain to a system; provisioning a public key of the network element to the first domain and the edge domain; receiving a public key of the first domain; populating, in the network element, a table with services provided by the first domain or the edge domain; populating, in the network element, a second table with applications installed at the first domain or edge domain and permissions for services for the applications; and controlling access to the services by the applications.

Abstract: A benefit agent delivery particle comprising a core-shell structure in which a shell entraps a core containing benefit agent, wherein said shell comprises polyester.

Abstract: An ancillary laundry composition comprising an ester oil, which is a polyol comprising at least two ester linkages, free perfume and 0 to 0.85 wt. % anionic and/or cationic surfactant. A method of laundering clothes, wherein said composition is added in the wash or rinse stage. A method of preventing colour fade over (10) laundry cycles, wherein fabrics are treated with said composition during each consecutive laundry cycle. The use of said composition to provide an improved colour maintenance or reduced colour fade over consecutive laundry cycles, preferably (10), more preferably (5) laundry cycles.

Abstract: Embodiments provide for improvements in generating focused data from an unstructured data set. The focused data generated from the unstructured data set may provide data insight(s) into analysis of the unstructured data set, and/or provide for improved capabilities for a user to efficiently navigate through relevant data portions of such data utilizing a user interface, even when such relevant data portions are not immediately distinguishable without further processing of the unstructured data set.

Abstract: Each year, almost 10% of claims are denied by payers (i.e., health insurance plans). With the cost to recover these denials and underpayments, predicting payer response (likelihood of payment) from claims data with a high degree of accuracy and precision is anticipated to improve healthcare staffs' performance productivity and drive better patient financial experience and satisfaction in the revenue cycle (Barkholz, 2017). However, constructing advanced predictive analytics models has been considered challenging in the last twenty years. That said, we propose a (low-level) context-dependent compact representation of patients' historical claim records by effectively learning complicated dependencies in the (high-level) claim inputs. Built on this new latent representation, we demonstrate that a deep learning-based framework, Deep Claim, can accurately predict various responses from multiple payers using 2,905,026 de-identified claims data from two US health systems.

Abstract: Embodiments provide for improvements in generating focused data from an unstructured data set. The focused data generated from the unstructured data set may provide data insight(s) into analysis of the unstructured data set, and/or provide for improved capabilities for a user to efficiently navigate through relevant data portions of such data utilizing a user interface, even when such relevant data portions are not immediately distinguishable without further processing of the unstructured data set.

Abstract: A benefit agent delivery particle comprising a core-shell structure in which a shell of polymeric material entraps a core containing benefit agent, wherein said benefit agent comprises an ester oil.

Abstract: An ancillary laundry composition comprising 0.25 to 10 wt. % ester oil, free perfume and 0 to 4 wt. % anionic and/or cationic surfactant. A method of laundering clothes, wherein said composition is added in the wash or rinse stage. A method of preventing colour fade over (10) laundry cycles, wherein fabrics are treated with said composition during each consecutive laundry cycle. Use of said composition to provide an improved colour maintenance or reduced colour fade over consecutive laundry cycles, preferably (10), more preferably (5) laundry cycles.

Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: Various embodiments of the present disclosure provide a segment-wise prediction machine learning framework. In one example, an embodiment provides for generating, using a segment-wise prediction machine learning framework, and based at least in part on a document segment for an input segment and a respective predictive code for the input segment, a segment-wise prediction score for the input segment. The segment-wise prediction machine learning framework may comprise a text embedding machine learning model and may be configured to generate a segment-wise prediction score for the input segment based at least in part on a document embedding for the input segment and a code embedding for the respective predictive code for the input segment. Additionally, the text embedding machine learning model may be trained as part of a code prediction machine learning model that is configured to generate, for a particular input document data object, a selected code subset.

Abstract: The invention provides a liquid laundry detergent composition having: (i) an aqueous continuous phase including from 3 to 80% (by weight based on the total weight of the composition) of one or more detersive surfactants and from 0.05% to 2% (by weight based on the total weight of the composition) of a first polymeric rheology modifier; and (ii) a dispersed phase of suspended benefit agent delivery particles; the particles having a core-shell structure in which a shell of polymeric material entraps a core containing the benefit agent; in which a second polymeric rheology modifier comprises a hydrophilic polysaccharide backbone and is covalently attached to the exterior surface of the shell of the delivery particle (either directly or via a linking group); and in which the first and the second polymeric rheology modifiers each have a hydrophilic backbone including at least one hydrophobic segment which is available to form non-specific hydrophobic associations within the composition.

Abstract: A method implemented on an electronic computing device includes selecting a next home for purchase. Data is obtained from a plurality of sensor devices in a current home and from a plurality of data points external to the current home. The data from the sensor devices and the data points external to the current home are used to automatically select one or more aspects for the next home. One or more next homes to purchase that include one or more of the aspects are automatically identified. One of the identified one or more next homes are automatically recommended to purchase. When to purchase the identified next home is automatically recommended.

Abstract: Described herein is a calibration circuit for a multiple element antenna with two or more antenna transmit and receive elements. In some examples the multi-element antenna may also include a beamforming network that combine the multiple antenna radiating element inputs and outputs with controlled phase and amplitude relationships such that spatial beams can be formed by varying the phase and amplitudes of two or more signals applied to antenna input ports for the antenna. The calibration circuit of this disclosure may be used to obtain data to determine phase and amplitude offsets induced by the combined transmission elements, and any phase and amplitude offsets induced by the transmitter or receiver circuitry. The determined phase and amplitude offsets may then be removed from received signal measurements and compensated for in transmit signal generation.

Abstract: An example system is configured for displaying enhancement options and financial analysis. The system may include a server, third party data sources and an augmented reality computing device that includes a processing unit and system memory. The augmented reality computing device is configured to obtain user input regarding a property enhancement option; render the property enhancement options in augmented reality; obtain financial data from the server and the third party data sources; responsive to the obtained user input, automatically generate a financial analysis of the property enhancement option, wherein the financial analysis is based on the obtained financial data; and render the financial analysis with the obtained property enhancement option in augmented reality.

Abstract: A data-changing request is received on a first data source system. Metadata for a data source object associated with the request is obtained. The request is executed on a second data source system and results are obtained. A selection between multiple replication processes is made based on the metadata and the results. The selected process is performed on each of the remaining data source systems to synchronize/replicate data changes on the remaining data source systems. In an embodiment, bidirectional and concurrent data connections are permitted to a source object for one data source system and a replicated version of the source object on a different source system. In an embodiment, each data source system includes an agent that establishes an out-of-band connection to a synchronization/replication server, such that synchronization/replication is processed by the server without an affirmative connection being made from the data source systems to the server.

Abstract: Described herein is a calibration circuit for a multiple element antenna with two or more antenna transmit and receive elements. In some examples the multi-element antenna may also include a beamforming network that combine the multiple antenna radiating element inputs and outputs with controlled phase and amplitude relationships such that spatial beams can be formed by varying the phase and amplitudes of two or more signals applied to antenna input ports for the antenna. The calibration circuit of this disclosure may be used to obtain data to determine phase and amplitude offsets induced by the combined transmission elements, and any phase and amplitude offsets induced by the transmitter or receiver circuitry. The determined phase and amplitude offsets may then be removed from received signal measurements and compensated for in transmit signal generation.

Abstract: A data-changing request is received on a first data source system. Metadata for a data source object associated with the request is obtained. The request is executed on a second data source system and results are obtained. A selection between multiple replication processes is made based on the metadata and the results. The selected process is performed on each of the remaining data source systems to synchronize/replicate data changes on the remaining data source systems. In an embodiment, bidirectional and concurrent data connections are permitted to a source object for one data source system and a replicated version of the source object on a different source system. In an embodiment, each data source system includes an agent that establishes an out-of-band connection to a synchronization/replication server, such that synchronization/replication is processed by the server without an affirmative connection being made from the data source systems to the server.

Abstract: A core shell microcapsule wherein the liquid core of the microcapsule comprises solvent and climbazole dissolved in the solvent in a weight ratio of at most 8:1, preferably at most 5:1, solvent:climbazole. Also a process to manufacture the core shell microcapsule comprising the steps of: a) Dissolving climbazole in solvent to form an oil phase; b) Mixing the oil phase with an oil soluble first component of a shell forming polymerization system; c) Dispersing the mixture from step b in an aqueous phase which either contains, or has added to it, a water soluble second component of a shell forming polymerization system; d) Forming microcapsules by reaction of the first and second components of the polymerization system to encapsulate the climbazole dissolved in the solvent; and e) Optionally separating the formed microcapsules from the aqueous phase. Also a hair care composition comprising surfactant and at least 0.

Abstract: A microcapsule containing a benefit agent inside a polyurea shell characterised in that polyurea has a nonionic polysaccharide deposition polymer covalently bonded to it. Also a process for making the microcapsule and compositions incorporating the microcapsule.