Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A system, device, and method for detecting leaks near an emitter is disclosed. The method includes (i) receiving, from one or more mobile sensors, a first stream of information indicative of a leak state, (ii) determining that an initial leak state exists based at least in part on the first stream of information indicative of the leak state, (iii) receiving a second stream of information indicative of a no-leak state, (iv) using a statistical model to determine that the leak state has ended based at least in part on the first stream of information and the second stream of information, (v) receiving a third stream of information indicative of the leak state, and (vi) determining that a new leak state exists, wherein the new leak state is a distinct leak state from the initial leak state.

Abstract: An example method is provided for maintaining stability to an injury defined by a separation of two bones (e.g., the tibia and fibula), the separation being an injured distance greater than a pre-injury distance between the two bones in a first human patient. The method may include delivering a first apparatus for approximation of the two bones in the first human patient comprising the injury, the first apparatus including a flexible segment disposed between a first anchor and a second anchor. The method may further include maintaining, by the first apparatus, a restored distance between the two bones in the first human patient after a repetitive dynamic loading, the restored distance approximately equal to the pre-injury distance.

Abstract: The present invention generally relates to a system and method for using a volatile organic compound (VOC) free low radiant flux LED UV curable composition, and more particularly to unique and novel uses of the composition such as one or two or more of a fire retardant, clear coat, composite material, resin, top coat, improved holdout coating, a sealant coat, and combinations of the same.

Abstract: Systems and methods of the present disclosure may read source data corresponding to a source variable and apply a transformation to the source variable to generate an output variable. Accordingly, one such method comprises receiving a request to access an output variable by applying one or more data transformations to input data; before applying an actual data transformation to the input data, identifying that a match exists with a database of prior data transformations that have been applied to source variables to generate derived variables; identifying that a source variable in the matching one or more data transformations is flagged as sensitive data; and processing the request to access the output variable subject to an access restriction in response to the identification of the source variable that is flagged as sensitive data.

Abstract: The present invention generally relates to a system and method for using a volatile organic compound (VOC) free low radiant flux LED UV curable composition, and more particularly to unique and novel uses of the composition such as one or two or more of a fire retardant, clear coat, composite material, resin, top coat, improved holdout coating, a sealant coat, and combinations of the same.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: Systems and methods of the present disclosure may read source data corresponding to a source variable and apply a transformation to the source variable to generate an output variable. Accordingly, one such method comprises receiving a request to generate an output variable by applying one or more data transformations to a source variable; before applying an actual data transformation to the source variable, checking a database of prior data transformations that have been applied to source variables to generate existing output variables for a match with the requested one or more data transformations to the source variable; determining that a match exists in the database, wherein the match is associated with an existing output variable; and/or responding to the request by providing the existing output variable associated with the match that exists in the database of prior data transformations.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A system may receive a request for access to a first variable. The request may include a requested action and a variable identifier for the first variable. The request may also have a syntax that is incompatible with first data storage format. The system may parse the request to capture the variable identifier from the request. The system may also look up a location of the first variable in a catalog using the variable identifier. The location of the first variable may include the first data storage format. The system may generate a query to access the first variable. The syntax of the query may be compatible with the first data storage format. The system may then submit the query to access the first data storage format. The query may be configured to complete the requested action.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A volatile organic compound (VOC) free low radiant flux radiation curable composition for aerosol containers including an acrylate-terminated compound component, a thiol monomer or oligomer component, a photoinitiator component, a surface additive component, and an ethanol-based reducer, wherein the composition does not include an acetone component. Moreover, other implementations are directed towards methods of using the aerosol containers to apply the UV Curable Composition.

Abstract: A volatile organic compound (VOC) free low radiant flux radiation curable composition for aerosol containers including an acrylate-terminated compound component, a thiol monomer or oligomer component, a photoinitiator component, a surface additive component, and an ethanol-based reducer, wherein the composition does not include an acetone component. Moreover, other implementations are directed towards methods of using the aerosol containers to apply the UV Curable Composition.

Abstract: A volatile organic compound (VOC) free low radiant flux radiation curable composition for aerosol containers including an acrylate-terminated compound component, a thiol monomer or oligomer component, a photoinitiator component, a surface additive component, and an ethanol-based reducer, wherein the composition does not include an acetone component. Moreover, other implementations are directed towards methods of using the aerosol containers to apply the UV Curable Composition.

Abstract: A system may retrieve a pattern from a pattern database with the pattern identifying a type of sensitive data. The system may also retrieve data identified by a variable from a big data management system. The system may then match the data to the pattern to detect the type of sensitive data in the data. An output may be generated in response to the data matching the pattern. A variable access permission may be retrieved for the variable from a permissions repository, a sensitive data permission may be retrieved for the type of sensitive data from the permissions repository, and the variable access permission may be compared to the sensitive data permission to detect a discrepancy.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A system may read source data corresponding to a source variable and apply a transformation to the source variable to generate an output variable. The transformation may include logic, and the output variable may be configured for ingestion into a big data storage format. The system may record lineage data of the output variable that comprises the transformation and/or the source variable. The system may also receive a request to generate a requested output variable. The requested output variable may be generated from a second transformation that is the same as the first transformation. The system may thus match the first transformation to the second transformation using the lineage data. In response to matching the first transformation to the second transformation, the system may deny the request. The original output variable may be returned in response to the matching the first transformation to the second transformation.

Abstract: A chat-based persistent messaging platform that can seamlessly convert messages from different modalities (e.g., email clients and text message clients) into persistent messages and vice versa is described herein. The platform can include a parsing processor to convert messages into standard format data. A message classifier can process the standard format data into different subcomponents. These subcomponents can be translated into persistent messaging content via one or more content processing engines. The persistent messaging content can be converted into a persistent message via the parsing processor. The message classifier can also add messages into a persistent thread so that message history between two or more users can be maintained in perpetuity.

Abstract: A system may receive a request for access to a first variable. The request may include a requested action and a variable identifier for the first variable. The request may also have a syntax that is incompatible with first data storage format. The system may parse the request to capture the variable identifier from the request. The system may also look up a location of the first variable in a catalog using the variable identifier. The location of the first variable may include the first data storage format. The system may generate a query to access the first variable. The syntax of the query may be compatible with the first data storage format. The system may then submit the query to access the first data storage format. The query may be configured to complete the requested action.