Abstract: Existing approaches in pharmaceutical pricing, fail to provide visibility on nature of pricing followed by pharma players such as pharmacy benefit managers (PBMs), manufacturer, distributor, insurer, and so on, due to involvement of many players in pharma value chain and their complicated pricing strategies. The disclosure herein generally relates to decision support system for pharmaceutical pricing, and, more particularly, to a method and system for providing visibility on nature of pricing followed by different entities of pharma players. The system, by performing pricing analysis, extracts a magnitude of interrelationship between the plurality of entities in the pharmaceutical domain to form a pharmaceutical pricing guide. The pharmaceutical pricing guide is further processed to maximize a measured quality of the pharmaceutical pricing guide in real time and used to choose entities of pharma players associated with retail pharmacy.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: The present disclosure includes a feedback framework that receives feedback for a component of an information technology platform. The component includes the feedback framework, the information technology platform, a software application, a web browser, a client device, a client instance, or a virtual server. The feedback framework obtains context information associated with the feedback. The context information includes a system log, a screenshot, a web address of a web browser of the client device, version information, and/or the like. The feedback framework also determines an identity of the component by executing a handler. The feedback framework then determines a notification to send based on the identity of the component, and sends the notification with the feedback and the context information.

Abstract: A system may involve a communication bus and computational instances configured for communication with one another by way of the communication bus. The system is configured to: (i) receive, by a first computational instance, a first communication request, wherein the first communication request specifies first attributes; (ii) store, in a first persistent storage, the first attributes; (iii) generate a second communication request that specifies second attributes; (iv) transmit, by the first computational instance and to a second computational instance by way of the communication bus, the second communication request; (v) receive, by the second computational instance, the second communication request; (vi) store, in a second persistent storage, the second attributes; (vii) generate a third communication request that specifies third attributes; and (viii) transmit, by the second computational instance and to a third computational instance by way of the communication bus, the third communication request.

Abstract: A system may involve a communication bus and computational instances configured for communication with one another by way of the communication bus. The system is configured to: (i) receive, by a first computational instance, a first communication request, wherein the first communication request specifies first attributes; (ii) store, in a first persistent storage, the first attributes; (iii) generate a second communication request that specifies second attributes; (iv) transmit, by the first computational instance and to a second computational instance by way of the communication bus, the second communication request; (v) receive, by the second computational instance, the second communication request; (vi) store, in a second persistent storage, the second attributes; (vii) generate a third communication request that specifies third attributes; and (viii) transmit, by the second computational instance and to a third computational instance by way of the communication bus, the third communication request.

Abstract: A system may involve a communication bus and computational instances configured for communication with one another by way of the communication bus. The system is configured to: (i) receive, by a first computational instance, a first communication request, wherein the first communication request specifies first attributes; (ii) store, in a first persistent storage, the first attributes; (iii) generate a second communication request that specifies second attributes; (iv) transmit, by the first computational instance and to a second computational instance by way of the communication bus, the second communication request; (v) receive, by the second computational instance, the second communication request; (vi) store, in a second persistent storage, the second attributes; (vii) generate a third communication request that specifies third attributes; and (viii) transmit, by the second computational instance and to a third computational instance by way of the communication bus, the third communication request.

Abstract: A system may involve a communication bus and computational instances configured for communication with one another by way of the communication bus. The system is configured to: (i) receive, by a first computational instance, a first communication request, wherein the first communication request specifies first attributes; (ii) store, in a first persistent storage, the first attributes; (iii) generate a second communication request that specifies second attributes; (iv) transmit, by the first computational instance and to a second computational instance by way of the communication bus, the second communication request; (v) receive, by the second computational instance, the second communication request; (vi) store, in a second persistent storage, the second attributes; (vii) generate a third communication request that specifies third attributes; and (viii) transmit, by the second computational instance and to a third computational instance by way of the communication bus, the third communication request.

Abstract: Systems and methods for distracting an intervertebral disc space are provided. The systems use an expandable trial with telescopic stabilizers. The systems and methods of distracting an intervertebral space are provided in a manner that addresses the problem of subsidence. The method includes inserting the trial into the intervertebral space in a collapsed state and, once inserted, the trial is then used for distracting the intervertebral space using an expansion that includes a first stage and a second stage. The first stage includes expanding the trial laterally toward the peripheral zones of the top vertebral plate and the bottom vertebral plate, and the second stage includes expanding the trial vertically to distract the intervertebral space.

Abstract: The present disclosure includes a feedback framework that receives feedback for a component of an information technology platform. The component includes the feedback framework, the information technology platform, a software application, a web browser, a client device, a client instance, or a virtual server. The feedback framework obtains context information associated with the feedback. The context information includes a system log, a screenshot, a web address of a web browser of the client device, version information, and/or the like. The feedback framework also determines an identity of the component by executing a handler. The feedback framework then determines a notification to send based on the identity of the component, and sends the notification with the feedback and the context information.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: Disclosed herein are systems and methods for dynamically generating menu items in response to a user selection of text in a scripting interface based on a context associated with the text and metadata associated with the text. Using the techniques disclosed herein, a computing system generates one or more menu items in a pop-up menu in response to a selection (e.g., right-click) of text. The computer system enables user customization of the menu items 132 aggregated on the pop-up menu 130, such that the user customization includes defining the task executed by a menu item in response to being selected from the pop-up menu and defining conditions in which the menu item may be generated in the pop-up menu. In some embodiments, machine-learning techniques may be implemented by the computing system to dynamically identify selection trends and predict suitable menu items to propagate on the pop-up menu.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: The present disclosure includes a feedback framework that receives feedback for a component of an information technology platform. The component includes the feedback framework, the information technology platform, a software application, a web browser, a client device, a client instance, or a virtual server. The feedback framework obtains context information associated with the feedback. The context information includes a system log, a screenshot, a web address of a web browser of the client device, version information, and/or the like. The feedback framework also determines an identity of the component by executing a handler. The feedback framework then determines a notification to send based on the identity of the component, and sends the notification with the feedback and the context information.

Abstract: An apparatus and method of biasing a service tube within a turbine rear frame of a gas turbine engine. The engine includes an engine core having a service fitting. A service tube is mounted to the service fitting and at least one support mount secures the service tube to the engine core. A spring element on the support mount can provide a biasing force to the service tube.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: The present disclosure includes a feedback framework that receives feedback for a component of an information technology platform. The component includes the feedback framework, the information technology platform, a software application, a web browser, a client device, a client instance, or a virtual server. The feedback framework obtains context information associated with the feedback. The context information includes a system log, a screenshot, a web address of a web browser of the client device, version information, and/or the like. The feedback framework also determines an identity of the component by executing a handler. The feedback framework then determines a notification to send based on the identity of the component, and sends the notification with the feedback and the context information.

Abstract: A system and method in accordance with example embodiments may include systems and methods for a cloud-based analytics platform. The cloud-based analytics platform may allow the manual and automatic uploading to and/or downloading from a cloud server. The platform may include single sign-on (SSO) capabilities such that a user may have one set of credentials to access data from the cloud-based analytics and/or data stored locally. The platform may include data validation and processing in order to provide real-time feedback on uploads based on file type, file size, access rights, extracted data, and transformed data.

Abstract: Disclosed herein are systems and methods for dynamically generating menu items in response to a user selection of text in a scripting interface based on a context associated with the text and metadata associated with the text. Using the techniques disclosed herein, a computing system generates one or more menu items in a pop-up menu in response to a selection (e.g., right-click) of text. The computer system enables user customization of the menu items 132 aggregated on the pop-up menu 130, such that the user customization includes defining the task executed by a menu item in response to being selected from the pop-up menu and defining conditions in which the menu item may be generated in the pop-up menu. In some embodiments, machine-learning techniques may be implemented by the computing system to dynamically identify selection trends and predict suitable menu items to propagate on the pop-up menu.

Abstract: Systems and methods for distracting an intervertebral disc space are provided. The systems use an expandable trial with telescopic stabilizers. The systems and methods of distracting an intervertebral space are provided in a manner that addresses the problem of subsidence. The method includes inserting the trial into the intervertebral space in a collapsed state and, once inserted, the trial is then used for distracting the intervertebral space using an expansion that includes a first stage and a second stage. The first stage includes expanding the trial laterally toward the peripheral zones of the top vertebral plate and the bottom vertebral plate, and the second stage includes expanding the trial vertically to distract the intervertebral space.