Abstract: An apparatus and method are provided for allocating resources to a plurality of threads to perform a service. In use, a request for service is received. At least one of a plurality of resources is allocated to the threads. Further, the service is performed with the threads, utilizing the allocated at least one resource.

Abstract: The disclosed embodiments illustrate methods and systems for searching for a first user. The one or more inputs pertaining to one or more first attributes of the first user are received. Further, the one or more first attributes of the first user are ranked based on at least a presence of the one or more first attributes among one or more second attributes pertaining to one or more second users. Thereafter, one or more search strings comprising at least one attribute selected from the ranked one or more first attributes are generated, wherein the one or more search strings are utilizable to search for the first user. Finally, a list of third users is obtained from one or more search engines in response to the one or more search strings.

Abstract: The present invention regards a variety of methods and compositions for whole genome amplification and whole transcriptome amplification. In a particular aspect of the present invention, there is a method of amplifying a genome comprising a library generation step followed by a library amplification step. In specific embodiments, the library generating step utilizes specific primer mixtures and a DNA polymerase, wherein the specific primer mixtures are designed to eliminate ability to self-hybridize and/or hybridize to other primers within a mixture but efficiently and frequently prime nucleic acid templates.

Abstract: What is disclosed is a customer relationship management system to help customer care agents prioritize a response to an incoming message. Historical conversations between customers and agents are retrieved. Each conversation has associated features and an assigned priority. Features are categorized into a plurality of categories. A priority is assigned to each category based on the features and the cumulative priority of all conversations in each category. Thereafter, an incoming message is received from a customer's computing device. Features are extracted from the incoming message. A determination is then made as to which of the categories this incoming message belongs based on this message's features. A priority is then assigned to the incoming message based on a priority assigned to the category which the incoming message belongs. The priority is then displayed for a customer agent so the agent can prioritize his/her response to that customer's incoming message.

Abstract: Polymers of reaction products of dihalogens and compounds containing benzimidazole moieties are included in metal electroplating compositions to provide level metal deposits on substrates.

Abstract: Polymers of reaction products of polyamines and nitrogen containing cyclic compounds are included in metal electroplating compositions to provide level metal deposits on substrates.

Abstract: What is disclosed is a customer relationship management system to help customer care agents prioritize a response to an incoming message. Historical conversations between customers and agents are retrieved. Each conversation has associated features and an assigned priority. Features are categorized into a plurality of categories. A priority is assigned to each category based on the features and the cumulative priority of all conversations in each category. Thereafter, an incoming message is received from a customer's computing device. Features are extracted from the incoming message. A determination is then made as to which of the categories this incoming message belongs based on this message's features. A priority is then assigned to the incoming message based on a priority assigned to the category which the incoming message belongs. The priority is then displayed for a customer agent so the agent can prioritize his/her response to that customer's incoming message.

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: The disclosed embodiments illustrate methods and systems for creating event-triggered marketing campaigns. The method includes determining one or more events by analyzing messages of one or more users on social media platforms. Each event has an associated location and a timeline. Thereafter, one or more first attributes, associated with a set of users, corresponding to each event, are determined from the one or more users. Further, one or more target customers are determined from one or more customers of an organization based on the one or more first attributes and one or more second attributes of the one or more customers. Thereafter, the marketing campaigns are created for the one or more target customers based on the one or more second attributes and a historical data of the one or more target customers. Further, media delivery channels for the marketing campaigns are determined based on the timeline of each event.

Abstract: The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread.

Abstract: Disclosed are packing material/matrix and methods of making thereof for slow or extended release of at least one active volatile compound(s). Provided are gel matrix polymerized from particular pre-polymer, and optionally initiators are added during polymerization. The active volatile compounds are encapsulated in molecular encapsulating agents into a form of molecular complex, an the molecular complex is further incorporated into the gel matrix. Also provided are methods for preparing the gel matrix and using thereof.

Abstract: The present invention relates to packaging material/matrix and methods of making such packaging material/matrix for slow or extended release of at least one active volatile compound(s). Provided are methods and compositions for a polymer matrix incorporating at least one active volatile compound (for example 1-methylcyclopropene or 1-MCP) and the polymer matrix is synthesized by polycondensation. This polymer matrix can slowly release the active volatile compound after contacting with a solvent (for example moisture). Also provided is the use of such polymer matrix to prolong the shelf-life of fruits and vegetables.

Abstract: An embodiment of a method and a related apparatus for digital computation of a floating point complex multiply-add is provided. The method includes receiving an input addend, a first product, and a second product. The input addend, the first product and the second product each respectively has a mantissa and an exponent. The method includes shifting the mantissas of the two with smaller exponents of the input addend, the first product, and the second product to align together with the mantissa of the one with largest exponent of the input addend, the first product and the second product, and adding the aligned input addend, the aligned first product and the aligned second product.

Abstract: Disclosed are new colchicine solid-state forms, methods of preparing the solid-state forms, as well as formulations prepared therefrom and uses thereof.

Abstract: A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term.

Abstract: A monitoring system (1) for an electric vehicle (11) that draws current from a conductor (13), the system (1) comprising: a plurality of sensor modules (31) distributed at spaced intervals throughout a conducting block (3) of a current collector (5), wherein the conducting block (3) contacts the conductor (13) in operation of the vehicle (11) and each said sensor module comprises an FBG (Fibre Bragg Grating) strain sensor (35) configured to output a first optical signal that varies in response to changes in strain and temperature of the conducting block (3) and a strain-isolated FBG temperature sensor (37) that is configured to output a second optical signal that varies in response to changes in temperature of the conducting block (3); an optical source (15) for illuminating each said sensor module (31); means (19) for optically coupling said optical source (15) to each said sensor module (31); and an optical signal interpretation module (17) configured to receive first and second optical signals from each

Abstract: A method, non-transitory computer readable medium, and apparatus for extracting text from a social media document are disclosed. For example, the method indexes a plurality of social media documents into a plurality of snippets, receives a query including one or more keywords and a purpose, identifies one or more of the plurality of snippets that include the one or more keywords in an index, ranks the one or more of the plurality of snippets in accordance with the purpose and provides the one or more plurality of snippets that are ranked in accordance with the purpose.

Abstract: A method, non-transitory computer readable medium, and apparatus for large-scale web community detection using a graphical processing unit (GPU) are disclosed. For example, the method receives an input graph formatted into one or more first adjacency lists from a central processing unit (CPU), performs a first level shingling on the one or more first adjacency lists, sends the first level shingling to the CPU to generate an aggregate graph based upon the first level shingling, receives the aggregate graph formatted into one or more second adjacency lists from the CPU, performs a second level shingling on the one or more second adjacency lists and sends the second level shingling to the CPU to generate a dense sub-graph that identifies one or more web communities.

Abstract: Embodiments generally relate to systems and methods for detecting topics in social media data. More particularly, the systems and methods can extract a concept hierarchy from a set of data, wherein the concept hierarchy comprises a plurality of layers. Further, the systems and methods can train topic models based on the content in each of the layers. Still further, the systems and methods can select the most appropriate topic model for social media data by balancing the complexity of the model and the accuracy of the topic detection result. Moreover, the systems and methods can use the most appropriate topic model to detect topics in social media data.

Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual.