Abstract: Various embodiments of devices and systems comprising a polymer driveshaft for use in high-speed rotational medical procedures, e.g., atherectomy, are disclosed. Generally, the primary driveshaft for transferring torque and activating rotation of a tool attached thereto, e.g., an abrasive element, is constructed with at least a polymer outer and inner surface. In certain embodiments, the polymer driveshaft may comprise a metallic band for fixed attachment of a structure, e.g., an abrasive element, thereto. Various embodiments may comprise a coupler that connects a drive shaft connected with a prime mover, e.g., a turbine or electric motor, with the polymer drive shaft, the coupler comprising openings through the coupler wall to the inner diameter of the coupler to allow fluid flow to the inner diameter of the coupled polymer drive shaft.

Abstract: Techniques are described for collecting customer data through a software application in order to optimize registration form to maximize registration success rates, based on a user engagement score related to user's interest, needs, registration behavior patterns, and source of user. In some examples, a method includes evaluating user data indicating interactions of a user with a software application. The method further includes determining a user engagement score for the user based at least in part on the user data. The method further includes determining, based at least in part on the user engagement score, a number and a type of one or more registration fields. The method further includes outputting the one or more registration fields to a display device based at least in part on a triggering event.

Abstract: A method for identifying a user of a website as a potential customer and presenting the potential customer with enhanced website content includes: identifying that a user has landed on the website; identifying a user traffic-source; determining if the identified traffic-source matches a traffic-source in a list of customer-based reference traffic-sources; identifying a specific user behavior pattern on the website; determining if the identified specific user behavior pattern matches a behavior pattern from a list of customer-based reference behavior patterns; identifying the user as a potential customer if the identified traffic-source matches a traffic-source in a list of reference traffic sources and the identified specific user behavior pattern matches a behavior pattern from a list of reference behavior patterns; and displaying enhanced content tailored to the potential customer based upon the specific user behavior pattern or excluding display of enhanced content to the user if not a potential customer.

Abstract: A mechanism is provided in a data processing system to implement a chat topic identification system for identifying chat topics in a multi-user messaging platform. The chat topic identification system receives a plurality of chat messages submitted to a communication channel in the multi-user messaging platform, performs cognitive content language analysis, cognitive personality analysis, cognitive tone analysis, social data analysis, and conversation feature analysis. The chat topic identification system stores results in a user profile associated with the user to form a user profile. A new conversation prediction engine determines a conversation separation score representing a likelihood that a new conversation is being started in the communication channel. A new conversation separation recommendation engine generates a conversation separation recommendation based on the conversation separation score.

Abstract: Techniques are described for collecting customer data through a software application in order to optimize registration form to maximize registration success rates, based on a user engagement score related to user's interest, needs, registration behavior patterns, and source of user. In some examples, a method includes evaluating user data indicating interactions of a user with a software application. The method further includes determining a user engagement score for the user based at least in part on the user data. The method further includes determining, based at least in part on the user engagement score, a number and a type of one or more registration fields. The method further includes outputting the one or more registration fields to a display device based at least in part on a triggering event.

Abstract: Techniques are described for collecting customer data through a software application in order to optimize registration form to maximize registration success rates, based on a user engagement score related to user's interest, needs, registration behavior patterns, and source of user. In some examples, a method includes evaluating user data indicating interactions of a user with a software application. The method further includes determining a user engagement score for the user based at least in part on the user data. The method further includes determining, based at least in part on the user engagement score, a number and a type of one or more registration fields. The method further includes outputting the one or more registration fields to a display device based at least in part on a triggering event.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the aservice, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Abstract: A cognitive churn-analysis system of a customer-engagement management platform predicts when and why a customer is likely to reduce a current level of service of a current service offering. The system enhances results of a conventional statistical churn analysis by using cognitive methods to infer a customer's personality traits and evolving sentiment toward the service offering. By processing the results of the statistical analysis and the two cognitive analyses, the system predicts a likelihood that a customer will reduce service at a particular time by performing a churning activity. After further determining a likely reason why the customer would choose to churn, the cognitive system directs the customer-engagement management platform to educe the likelihood that the customer would make such a decision by engaging the customer with remedial actions at an optimal time.

Abstract: A mechanism is provided in a data processing system to implement a chat topic identification system for identifying chat topics in a multi-user messaging platform. The chat topic identification system receives a plurality of chat messages submitted to a communication channel in the multi-user messaging platform. The chat topic identification system performs cognitive content language analysis, cognitive personality analysis, cognitive tone analysis, social data analysis, and conversation feature analysis. The chat topic identification system stores results of the cognitive content language analysis, the cognitive personality analysis, the cognitive tone analysis, and the social data analysis in a user profile associated with the user to form an updated user profile. A new conversation prediction engine determines a conversation separation score representing a likelihood that a new conversation is being started in the communication channel.

Abstract: A method for identifying a user of a website as a potential customer and presenting the potential customer with enhanced website content includes: identifying that a user has landed on the website; identifying a user traffic-source; determining if the identified traffic-source matches a traffic-source in a list of customer-based reference traffic-sources; identifying a specific user behavior pattern on the website; determining if the identified specific user behavior pattern matches a behavior pattern from a list of customer-based reference behavior patterns; identifying the user as a potential customer if the identified traffic-source matches a traffic-source in a list of reference traffic sources and the identified specific user behavior pattern matches a behavior pattern from a list of reference behavior patterns; and displaying enhanced content tailored to the potential customer based upon the specific user behavior pattern or excluding display of enhanced content to the user if not a potential customer.

Abstract: A method for identifying a user of a website as a potential customer and presenting the potential customer with enhanced website content includes: identifying that a user has landed on the website; identifying a user traffic-source; determining if the identified traffic-source matches a traffic-source in a list of customer-based reference traffic-sources; identifying a specific user behavior pattern on the website; determining if the identified specific user behavior pattern matches a behavior pattern from a list of customer-based reference behavior patterns; identifying the user as a potential customer if the identified traffic-source matches a traffic-source in a list of reference traffic sources and the identified specific user behavior pattern matches a behavior pattern from a list of reference behavior patterns; and displaying enhanced content tailored to the potential customer based upon the specific user behavior pattern or excluding display of enhanced content to the user if not a potential customer.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the aservice, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the service, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Abstract: A method, system or computer usable program product for controlling power emission from a socket to a plug including providing a first unit connected to the socket with full power emission disabled and a second unit connected to the plug, each unit with a signal generation capability, establishing a handshake protocol between the first and second units, and responsive to a successful handshake protocol between the first and second units, the first unit enabling full power emission from the socket to the plug.

Abstract: A social networking-based web analytics data processing system having subject matter expert (SME) cognitive capability includes a data report dashboard module, and a rating module. The data report dashboard module includes an electronic hardware controller to generate an initial web analytics data report and to generate at least one inquiry associated with at least one abnormality included in the initial web analytics data report. The rating module detects at least one of a positive ranking and a negative ranking applied to a comment submitted by a user in reply to the at least one inquiry. The social networking-based web analytics data processing system further includes a subject matter expert (SME) identification module that identifies a SME based on at least one of social networking information, community expertise ranking and project stakeholder recognitions.

Abstract: Techniques are described for collecting customer data through a software application in order to optimize registration form to maximize registration success rates, based on a user engagement score related to user's interest, needs, registration behavior patterns, and source of user. In some examples, a method includes evaluating user data indicating interactions of a user with a software application. The method further includes determining a user engagement score for the user based at least in part on the user data. The method further includes determining, based at least in part on the user engagement score, a number and a type of one or more registration fields. The method further includes outputting the one or more registration fields to a display device based at least in part on a triggering event.

Abstract: A method for identifying a user of a website as a potential customer and presenting the potential customer with enhanced website content includes: identifying that a user has landed on the website; identifying a user traffic-source; determining if the identified traffic-source matches a traffic-source in a list of customer-based reference traffic-sources; identifying a specific user behavior pattern on the website; determining if the identified specific user behavior pattern matches a behavior pattern from a list of customer-based reference behavior patterns; identifying the user as a potential customer if the identified traffic-source matches a traffic-source in a list of reference traffic sources and the identified specific user behavior pattern matches a behavior pattern from a list of reference behavior patterns; and displaying enhanced content tailored to the potential customer based upon the specific user behavior pattern or excluding display of enhanced content to the user if not a potential customer.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the service, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the a service, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Abstract: Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the aservice, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.