Abstract: The present disclosure provides a system and method for creating websites that is accessible to people without significant web development or programming experience. The disclosed method combines a graphical approach with a logic-based approach by providing a user interface in which site creators may place variant content elements, or “variants.” Placing variants allows the website to dynamically change its appearance based on context. Variants are presented in response to fulfilments of one or more rules, which are created using conditional statements made up of vernacular strings and symbols. Thus, creating rules in order to trigger displays of particular elements is easy for a lay person, and allows for enhanced flexibility in creating websites.

Abstract: Methods and systems are disclosed for controlling user creation of data resources on a software platform for storing and executing data resources for multiple users. The methods and systems may be performed using one or more processors or special-purpose computing hardware and may comprise receiving from a user a user request to create a data resource on the software platform, the user request comprising, or identifying, a specification indicative of the data resource and a user identifier associated with said user. A further operation may comprise performing verification of said user using the user identifier to determine if said user is permitted to create or modify the data resource indicated in the specification in accordance with a predetermined set of permissions.

Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Abstract: Methods of operating an electronic device to communicate with an electric utility meter or a transformer are provided. A method of operating an electronic device to communicate with an electric utility meter or a transformer includes transmitting, via a cellular network and/or an unlicensed frequency band of a wireless mesh network, a ping from the electronic device to the electric utility meter or the transformer. The method includes receiving, via the cellular network and/or the unlicensed frequency band of the wireless mesh network, meter data from the electric utility meter or the transformer at the electronic device, in response to the ping. Moreover, the method includes displaying, via a Graphical User Interface (GUI) of the electronic device, an indication of an electrical parameter measured by the electric utility meter, in response to receiving the meter data. Related electronic devices and computer program products are also provided.

Abstract: Methods and systems are disclosed for controlling user creation of data resources on a software platform for storing and executing data resources for multiple users. The methods and systems may be performed using one or more processors or special-purpose computing hardware and may comprise receiving from a user a user request to create a data resource on the software platform, the user request comprising, or identifying, a specification indicative of the data resource and a user identifier associated with said user. A further operation may comprise performing verification of said user using the user identifier to determine if said user is permitted to create or modify the data resource indicated in the specification in accordance with a predetermined set of permissions.

Abstract: Methods and systems are disclosed for controlling user creation of data resources on a software platform for storing and executing data resources for multiple users. The methods and systems may be performed using one or more processors or special-purpose computing hardware and may comprise receiving from a user a user request to create a data resource on the software platform, the user request comprising, or identifying, a specification indicative of the data resource and a user identifier associated with said user. A further operation may comprise performing verification of said user using the user identifier to determine if said user is permitted to create or modify the data resource indicated in the specification in accordance with a predetermined set of permissions.

Abstract: Methods and systems are disclosed for controlling user creation of data resources on a software platform for storing and executing data resources for multiple users. The methods and systems may be performed using one or more processors or special-purpose computing hardware and may comprise receiving from a user a user request to create a data resource on the software platform, the user request comprising, or identifying, a specification indicative of the data resource and a user identifier associated with said user. A further operation may comprise performing verification of said user using the user identifier to determine if said user is permitted to create or modify the data resource indicated in the specification in accordance with a predetermined set of permissions.

Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.

Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Abstract: Methods and systems are disclosed for controlling user creation of data resources on a software platform for storing and executing data resources for multiple users. The methods and systems may be performed using one or more processors or special-purpose computing hardware, and may comprise receiving from a user a user request to create a data resource on the software platform, the user request comprising, or identifying, a specification indicative of the data resource and a user identifier associated with said external user. A further operation may comprise performing verification of said user using the user identifier to determine if said user is permitted to create or modify the data resource indicated in the specification in accordance with a predetermined set of permissions.

Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.

Abstract: An aircraft wing including a fuel tank located in the wing, a channel defining a cavity in the fuel tank, the channel including at least two channel ends terminating at an upper or lower wing surface, a driveshaft located in the cavity; and an access panel located on the wing surface and being movable between an open position so that access to the cavity is permitted, and a closed position so that the cavity is at least partially covered by the access panel to inhibit access to the cavity.

Abstract: An aircraft wing including a fuel tank located in the wing, a channel defining a cavity in the fuel tank, the channel including at least two channel ends terminating at an upper or lower wing surface, a driveshaft located in the cavity; and an access panel located on the wing surface and being movable between an open position so that access to the cavity is permitted, and a closed position so that the cavity is at least partially covered by the access panel to inhibit access to the cavity.

Abstract: A computer-implemented system and method for data revision control in a large-scale data analytic systems. In one embodiment, for example, a computer-implemented method comprises the operations of storing a first version of a dataset that is derived by executing a first version of driver program associated with the dataset; and storing a first build catalog entry comprising an identifier of the first version of the dataset and comprising an identifier of the first version of the driver program.

Abstract: An apparatus for the insertion, placement, attachment, and removal of a surgical device includes a handle and an elongate shaft. Opposing spring fingers that open and close relative to one another are partially and slidably disposed within the distal end of the elongate shaft opposite the handle. The opposing spring fingers are adapted to grasp a surgical device and power the surgical device via physical conductors on the spring fingers or graspers attached thereto, resulting in the surgical device being fully functional. A first trigger mechanism opens and closes the spring fingers via a piston disposed within the elongate shaft. A second trigger mechanism rotates the surgical device grasped by the spring fingers.

Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Abstract: A computer system identifies malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs. The system can execute a number of pre-filters to identify a subset of URLs in the plurality of data items that are likely to be malicious. A scoring processor can score the subset of URLs based on a plurality of input vectors using a suitable machine learning model. Optionally, the system can execute one or more post-filters on the score data to identify data items of interest. Such data items can be fed back into the system to improve machine learning or can be used to provide a notification that a particular resource within a local network is infected with malicious software.

Abstract: On example of a rotorcraft bearing system includes a bearing housing attached to an elastomeric bearing on a longitudinal axis, an end surface of the elastomeric bearing attached to an end surface of the bearing housing. The rotorcraft bearing system also includes a sliding contact bearing having an end surface. The rotorcraft bearing system also includes an intermediate sliding contact bearing material layer. Under load on the longitudinal axis, the end surface of the sliding contact bearing is configured to contact an opposing end surface of the bearing housing through the intermediate sliding contact bearing material layer to form a rotational slip joint.

Abstract: On example of a rotorcraft bearing system includes a bearing housing attached to an elastomeric bearing on a longitudinal axis, an end surface of the elastomeric bearing attached to an end surface of the bearing housing. The rotorcraft bearing system also includes a sliding contact bearing having an end surface. The rotorcraft bearing system also includes an intermediate sliding contact bearing material layer. Under load on the longitudinal axis, the end surface of the sliding contact bearing is configured to contact an opposing end surface of the bearing housing through the intermediate sliding contact bearing material layer to form a rotational slip joint.