Abstract: A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.

Abstract: A method includes acquiring a vector data signal associated with a circuit design, performing a timing update to determine timing information for the circuit design, and identifying a glitch in the circuit design based on a shifted vector waveform. The timing information includes a signal delay associated with a cell of the circuit design. The shifted vector waveform is generated by shifting the vector data signal based on the timing information.

Abstract: A first service's exhibition of a first symptom while executing a set of transactions is detected. A graph is constructed representing data flow between a set of services including the first service. By traversing the graph, a set of candidate services is constructed, a candidate service in the set of candidate services comprising a service exhibiting the first symptom, the set of candidate services including the first service. A probability of a first cause is evaluated, for the candidate service. At a problem service in the set of candidate services, a problem cause is ameliorated, the problem service identified using the set of candidate services and the probability of the first cause, the problem cause causing the first symptom.

Abstract: A computer identifies, within a hierarchical database, data elements associated with a selected function associated with the database, comprising. The computer identifies at least one function associated with a hierarchical database containing data elements. The computer, in response to identifying the function, identifies within a list of indica, at least one reference indicia corresponding to the at least one function. The computer identifies within a monolithic application relevant code elements associated with the reference indicia. The computer generates an activity log associated with execution of the relevant code elements. The computer identifies, within the activity log, a group of data elements associated with the execution of the relevant code elements. The computer generates a group data element clusters using a Machine Learning algorithm. The computer identifies at least one of the group of data element clusters as relevant to the at least one function.

Abstract: A first service's exhibition of a first symptom while executing a set of transactions is detected. A graph is constructed representing data flow between a set of services including the first service. By traversing the graph, a set of candidate services is constructed, a candidate service in the set of candidate services comprising a service exhibiting the first symptom, the set of candidate services including the first service. A probability of a first cause is evaluated, for the candidate service. At a problem service in the set of candidate services, a problem cause is ameliorated, the problem service identified using the set of candidate services and the probability of the first cause, the problem cause causing the first symptom.

Abstract: A method includes acquiring a vector data signal associated with a circuit design, performing a timing update to determine timing information for the circuit design, and identifying a glitch in the circuit design based on a shifted vector waveform. The timing information includes a signal delay associated with a cell of the circuit design. The shifted vector waveform is generated by shifting the vector data signal based on the timing information.

Abstract: Methods, systems, and computer readable media for computing label-switched data communication paths are disclosed. An example method includes receiving, by a path computation element (PCE) implemented on at least one processor, synchronization status information for routing nodes in a label-switched network. The method includes receiving, by the PCE, a request for a label-switched path (LSP) from a client. The method includes determining, by the PCE, a responsive LSP based at least in part on the synchronization status information. The method includes sending, by the PCE, an explicit route object (ERO) for the responsive LSP to the client.

Abstract: The disclosed embodiments illustrate method and system for data processing to recommend a list of physical stores in real-time for user-specified products and/or services. The method includes receiving a request, that comprises one or more products and/or services and one or more user-defined parameters, from a user-computing device. The method further includes aggregating information associated with the received request, profile information of a user, real-time traffic information, and geographical locations of a plurality of physical stores. Further, the method includes generating a recommendation list based on the aggregated information and a similarity score of the user for each of the one or more products and/or services. The method further includes transmitting the generated recommendation list to the user-computing device. The user may select a recommendation from the recommendation list for purchasing and/or availing products and/or services based on the selected recommendation.

Abstract: Methods, systems, and computer readable media for advertising network security capabilities are disclosed. According to one method, the method occurs at a network node. The method includes receiving a first route advertisement message that includes network security capabilities information indicating capabilities of a network security system associated with a route. The method also includes receiving a packet associated with a packet flow. The method further includes directing the packet associated with the packet flow to a downstream network node associated with the network security system.

Abstract: Methods, systems, and computer readable media for computing label-switched data communication paths are disclosed. An example method includes receiving, by a path computation element (PCE) implemented on at least one processor, synchronization status information for routing nodes in a label-switched network. The method includes receiving, by the PCE, a request for a label-switched path (LSP) from a client. The method includes determining, by the PCE, a responsive LSP based at least in part on the synchronization status information. The method includes sending, by the PCE, an explicit route object (ERO) for the responsive LSP to the client.

Abstract: Methods, systems, and computer readable media for computing label-switched data communication paths are disclosed. An example method includes receiving, by a path computation element (PCE) implemented on at least one processor, synchronization status information for routing nodes in a label-switched network. The method includes receiving, by the PCE, a request for a label-switched path (LSP) from a client. The method includes determining, by the PCE, a responsive LSP based at least in part on the synchronization status information. The method includes sending, by the PCE, an explicit route object (ERO) for the responsive LSP to the client.

Abstract: The present disclosure discloses methods and systems for enhancing shopping experience in physical stores. The method includes receiving at least one persona associated with a user based on one or more of: ethnographic data obtained from a user, demographic data associated with the user, buying behavioral data associated with the user, and social networking data associated with the user. After this, one or more historical activities of the user inside one or more physical stores are received. Also, one or more constraints associated with the user are received. Once received, the at least one persona, the one or more constraints, and the one or more historical activities are analyzed to generate a pre-defined number of personalized recommendations. Finally, the personalized recommendations are displayed to the user within a window of a user interface.

Abstract: Methods, systems, and computer readable media for computing label-switched data communication paths are disclosed. An example method includes receiving, by a path computation element (PCE) implemented on at least one processor, synchronization status information for routing nodes in a label-switched network. The method includes receiving, by the PCE, a request for a label-switched path (LSP) from a client. The method includes determining, by the PCE, a responsive LSP based at least in part on the synchronization status information. The method includes sending, by the PCE, an explicit route object (ERO) for the responsive LSP to the client.

Abstract: Methods, systems, and computer readable media for advertising network security capabilities are disclosed. According to one method, the method occurs at a network node. The method includes receiving a first route advertisement message that includes network security capabilities information indicating capabilities of a network security system associated with a route. The method also includes receiving a packet associated with a packet flow. The method further includes directing the packet associated with the packet flow to a downstream network node associated with the network security system.

Abstract: The present disclosure discloses methods and systems for enhancing shopping experience in physical stores. The method includes receiving at least one persona associated with a user based on one or more of: ethnographic data obtained from a user, demographic data associated with the user, buying behavioral data associated with the user, and social networking data associated with the user. After this, one or more historical activities of the user inside one or more physical stores are received. Also, one or more constraints associated with the user are received. Once received, the at least one persona, the one or more constraints, and the one or more historical activities are analyzed to generate a pre-defined number of personalized recommendations. Finally, the personalized recommendations are displayed to the user within a window of a user interface.

Abstract: The disclosed embodiments illustrate method and system for data processing to recommend a list of physical stores in real-time for user-specified products and/or services. The method includes receiving a request, that comprises one or more products and/or services and one or more user-defined parameters, from a user-computing device. The method further includes aggregating information associated with the received request, profile information of a user, real-time traffic information, and geographical locations of a plurality of physical stores. Further, the method includes generating a recommendation list based on the aggregated information and a similarity score of the user for each of the one or more products and/or services. The method further includes transmitting the generated recommendation list to the user-computing device. The user may select a recommendation from the recommendation list for purchasing and/or availing products and/or services based on the selected recommendation.

Abstract: The present invention provides compounds of Formula (I) as M1 receptor positive allosteric modulators for the treatment of diseases mediated by the muscarinic M1 mediator.

Abstract: Mechanisms are provided for determining threshold conditions for performing operations within a performance monitoring tool. Metric data is collected from a computing system environment and clustering analysis is performed on the metric data to generate a plurality of clusters. One or more candidate clusters are selected that are candidate clusters for generating a threshold condition for performance monitoring. At least one threshold condition for performance monitoring is generated based on a composition of the selected one or more candidate clusters. The at least one threshold condition is then applied to future performance metric data to determine whether to perform an operation in response to the future performance metric data meeting or not meeting the at least one threshold condition.

Abstract: Mechanisms are provided for determining threshold conditions for performing operations within a performance monitoring tool. Metric data is collected from a computing system environment and clustering analysis is performed on the metric data to generate a plurality of clusters. One or more candidate clusters are selected that are candidate clusters for generating a threshold condition for performance monitoring. At least one threshold condition for performance monitoring is generated based on a composition of the selected one or more candidate clusters. The at least one threshold condition is then applied to future performance metric data to determine whether to perform an operation in response to the future performance metric data meeting or not meeting the at least one threshold condition.

Abstract: The present invention provides compounds of Formula (I) as M1 receptor positive allosteric modulators for the treatment of diseases mediated by the muscarinic M1 mediator.