Abstract: One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a different revision of another of the at least two documents; identifying a structure of each of the at least two documents by parsing each of the at least two documents to extract text from each of the at least two documents; aligning sections of the at least two documents, wherein the aligning comprises matching a section from one of the at least two documents and a corresponding section from another of the at least two documents; identifying at least one difference between the at least two documents; assigning a semantic label to the identified at least one difference; and providing a summary of the identified at least one difference by compressing the text surrounding the identified at least one difference using the assigned semantic label.

Abstract: An efficient deicing system is a silicone-graphene foam composite connected to a source of electrical energy for current promoted heating of the silicone-graphene foam composite. The deicing system can be constructed by infusion and curing a silicone resin infused into the graphene foam attached to electrical contacts. The deicing system can be attached to surfaces of an aircraft for rapid deicing of the aircraft.

Abstract: Methods, systems, and computer program products for transferring context with delegation are provided herein. A computer-implemented method includes detecting an anticipated unavailability of a first individual for a given future event, based on inputs generated by the first individual and databases of stored calendar information pertaining to the first individual and the given future event; identifying tasks, related to the given future event, requiring a delegation as a result of the anticipated unavailability of the first individual, wherein identifying is based on data related to the given future event; determining additional individuals to whom the tasks can be delegated, based on qualifications of the additional individuals and one or more constraints; generating a summary of the delegation comprising a description of the tasks and information pertaining to the given future event; and outputting the summary to at least one of the additional individuals.

Abstract: The disclosed embodiments illustrate methods and systems for processing social media data for content recommendation to a user. The method includes extracting a set of entity data from the social media data of the user. The method further includes extracting semantic data of each entity data in the extracted set of entity data from one or more knowledge databases over a communication network. The method further includes generating a user-interest vector of the user. The user-interest vector of the user is generated based on at least a mapping of the extracted semantic data of each entity data with one or more leaf nodes in an interest taxonomy. The generated user-interest vector is further utilized for recommending targeted content to the user.

Abstract: Aluminum-boron nitride nanotube composites and methods of making thereof are disclosed herein. In at least one specific embodiment, the method can include: at least partially coating boron nitride nanotubes with aluminum to make an aluminum-boron nitride nanotube layered structure, where the at least partially coating is performed by sputter deposition, and where the boron nitride nanotubes have a length of about 100 ?m to about 300 ?m; sintering the aluminum-boron nitride nanotube layered structure to make an aluminum-boron nitride nanotube pellet, where the sintering is performed by spark plasma sintering; and rolling the aluminum-boron nitride nanotube pellet to make the aluminum-boron nitride nanotube composite.

Abstract: Embodiments of a computer-implemented method for automatically analyzing a conversational sequence between multiple users are disclosed. The method includes receiving signals corresponding to a training dataset including multiple conversational sequences; extracting a feature from the training dataset based on predefined feature categories; formulating multiple tasks for being learned from the training dataset based on the extracted feature, each task related to a predefined label; and providing a model for each formulated task, the model including a set of parameters common to the tasks. The set includes an explicit parameter, which is explicitly shared with each of the formulated tasks. The method further includes optimizing a value of the explicit parameter to create an optimized model; creating a trained model for the formulated tasks using the optimized value of the explicit parameter; and assigning predefined labels for the formulated tasks to a live dataset based on the corresponding trained model.

Abstract: A method and non-transitory computer readable medium for generating patient profiles via a social media service are disclosed. For example, the method receives data from the social media service, extracts one or more attributes from the data from the social media service, classifies the one or more attributes to one or more of a plurality of predefined profile attributes, generates a patient profile based on the one or more attributes that are classified, determines a medical action to be executed based on the patient profile and transmits the medical action to be executed to a health administration server.

Abstract: The subject invention provides compositions of a family of magnesium alloys for various applications including but not limited to automotive, aerospace, and biomedical applications. Preferred embodiments provide that this family of alloys comprises elements readily available domestically while offering improved mechanical properties at approximately half the cost of similar commercial alloys that comprise rare earth (RE) elements. Advantageously, utilization of these new magnesium alloys in car engine parts would lead to better fuel economy and in turn, reduce carbon dioxide emissions and environmental damages from vehicles.

Abstract: The technical solution under the present disclosure automatically analyzes conversations between users by receiving a training dataset having a text sequence including sentences of a conversation between the users; extracting feature(s) from the training dataset based on features; providing equation(s) for a plurality of tasks, the equation(s) being a mathematical function for calculating value of a parameter for each of the tasks based on the extracted feature; determining value of the parameter for tasks by processing the equation(s); assigning label(s) to each of the sentences based on the determined value of the parameter, a first label being selected from a plurality of first labels, and a second label being selected from a number of second labels; and storing and maintaining with the database a pre-defined value of the parameter, first labels, conversations, second labels, a test dataset, equation(s), and pre-defined features.

Abstract: A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words.

Abstract: A system is provided. The system comprises a first computer located in a first plant, a first memory, and a first object based process management application stored in the first memory. The system further comprises a second computer located in a location separate from the first plant, a second memory, and a second object based process management application stored in the second memory. When executed on the first computer, the first application invokes scripts in response to events and the scripts launch tasks. When executed on the second computer, the second computer invokes scripts in response to events and the scripts launch tasks, one of the events acted on by the second application is a message received from the first application.

Abstract: Presented are a method, system, and apparatus for using a specialized computing device managing a contact center to analyze and reduce financial risk on a portfolio of accounts (such as loans, insurance claims, etc.) via determining whether and, if so, when to utilize a communication channel (such as telephone, e-mail, text message, etc.) to contact a customer regarding a monitored account. Variables are received including action history and transactions associated with the monitored account. One or more risk models associated with the monitored account are derived. Risk level is determined for the customer. The derived risk models and the determined risk level are used to generate a risk-driven campaign optimization strategy. A solution maximizing advantage considering the risk-driven campaign optimization strategy is then generated, the solution including a determination of whether to contact the customer and, if so, which communication channel to utilize at which time t.

Abstract: A system, method and non-transitory computer readable medium for labeling a plurality of messages from a customer-agent interaction on a social media service to identify an issue and a response are disclosed. For example, the system includes a conversation interface, a conversation database coupled to the conversation interface, a conversation analysis server coupled to the conversation database and a conversation knowledge repository coupled to the conversation analysis server. The conversation analysis server includes a preprocessing module, a dialogue act analysis module, an issue status analysis module and an issue/response identification module.

Abstract: Embodiments of a computer-implemented method for automatically analyzing a conversational sequence between multiple users are disclosed. The method includes receiving signals corresponding to a training dataset including multiple conversational sequences; extracting a feature from the training dataset based on predefined feature categories; formulating multiple tasks for being learned from the training dataset based on the extracted feature, each task related to a predefined label; and providing a model for each formulated task, the model including a set of parameters common to the tasks. The set includes an explicit parameter, which is explicitly shared with each of the formulated tasks. The method further includes optimizing a value of the explicit parameter to create an optimized model; creating a trained model for the formulated tasks using the optimized value of the explicit parameter; and assigning predefined labels for the formulated tasks to a live dataset based on the corresponding trained model.

Abstract: The technical solution under the present disclosure automatically analyzes conversations between users by receiving a training dataset having a text sequence including sentences of a conversation between the users; extracting feature(s) from the training dataset based on features; providing equation(s) for a plurality of tasks, the equation(s) being a mathematical function for calculating value of a parameter for each of the tasks based on the extracted feature; determining value of the parameter for tasks by processing the equation(s); assigning label(s) to each of the sentences based on the determined value of the parameter, a first label being selected from a plurality of first labels, and a second label being selected from a number of second labels; and storing and maintaining with the database a pre-defined value of the parameter, first labels, conversations, second labels, a test dataset, equation(s), and pre-defined features.

Abstract: A method, non-transitory computer readable medium, and apparatus for method for calculating an overall health quality index (HQI) and providing a health upside optimizing recommendation are disclosed. For example, the method collects data associated with an individual from an external data source, filters the data to identify a plurality of features, divides each one of the plurality of features into one or more of six action classes, builds one or more models for each one of the six action classes, computes the overall HQI using the one or more models that are built for each one of the six action classes, identifies the health upside optimizing recommendation based on one or more important actionable features selected from the plurality of features and provides the overall HQI and the health upside optimizing recommendation to the individual.

Abstract: Presented are a system, method, and apparatus for automatic topic relevant content filtering from social media text streams using weak supervision. A computing device utilizes heuristic rules allowing topic filtering and a data stream data chunk identifier. A plurality of messages are transmitted as streaming message data from a social media network in real-time. The messages are split into a plurality of data stream data chunks according to the data stream data chunk identifier. A rule-based labeled data set L0 is built from one or more data instances in the first stream data chunk. An initial classifier is built based upon features of L0. The initial classifier is applied to a next data stream data chunk to build a labeled data set L1. A subset of representative instances S1 is selected from labeled data set L1. A first representative classifier C1 is constructed from representative instance S1.

Abstract: A system is provided. The system comprises a computer system, an at least one memory; and a first application stored in the at least one memory. When executed by the computer system, the first application automatically executes a workflow that receives a first input from a human machine interface (HMI) in a first plant, in response to the first input generates a first event that assigns a first task associated to a first functional role performed at the first plant, receives a second input associated with the first task, in response to the second input generates a second event that assigns a second task associated to a second functional role, receives a third input associated with the second task, in response to the third input transmits information to the human machine interface that changes the process mediated by the human machine interface in the first plant.

Abstract: A system is provided. The system comprises a first computer located in a first plant, a first memory, and a first object based process management application stored in the first memory. The system further comprises a second computer located in a location separate from the first plant, a second memory, and a second object based process management application stored in the second memory. When executed on the first computer, the first application invokes scripts in response to events and the scripts launch tasks. When executed on the second computer, the second computer invokes scripts in response to events and the scripts launch tasks, one of the events acted on by the second application is a message received from the first application.

Abstract: A system is provided. The system comprises a first computer located in a first plant, a first memory, and a first object based process management application stored in the first memory. The system further comprises a second computer located in a location separate from the first plant, a second memory, and a second object based process management application stored in the second memory. When executed on the first computer, the first application invokes scripts in response to events and the scripts launch tasks. When executed on the second computer, the second computer invokes scripts in response to events and the scripts launch tasks, one of the events acted on by the second application is a message received from the first application.