Abstract: Various embodiments described herein relate to an asset discovery engine with a deep vulnerabilities scanner with respect to assets in an industrial network. In an embodiment, a request to perform an asset vulnerability assessment of one or more assets within a network is received, the request comprising an asset descriptor describing the one or more assets. In response to the request, aggregated asset property data associated with the one or more assets is obtained based on the asset descriptor. Furthermore, the asset vulnerability assessment is performed based on the aggregated asset property data and asset vulnerability signature data stored in an asset vulnerability signature repository. In response to determining that the asset vulnerability assessment satisfies a defined criterion, one or more actions associated with the network are performed.

Abstract: A method for a graphical user interface (GUI) of a computer system is provided. The method comprises displaying within a first portion the GUI, an electro-anatomical map of the heart, said electro-anatomical map comprising a plurality of measurement points within the heart for which data was collected; displaying a plurality of markers, each representing a respective one of said measurement points spatially in relation to the geometry of the heart within said first portion; determining, by a processor, user-selection of a particular measurement point within the heart through selection of its associated marker; responsive to said user-selection of the particular measurement point, retrieving at least one metric associated with said measurement point; and displaying in a second portion of the GUI, each retrieved metric associated with a particular measurement point within the heart.

Abstract: A system and method include providing a list of children to be picked up by a vehicle at a particular stop along a route to a driver device. The provided list is displayed as part of a graphical user interface which includes a plurality of pick up options for each child in the list of children. The options include a picked up interface button, a no show interface button and a canceled button. The graphical user interface provides a picture and identification of each child. The server device transmits a message to a user device with confirmation that a child has been picked up. The server device also provides a list of children to be dropped off by the vehicle via a graphical user interface that also provides drop off options for each child in the list of children including a dropped off button or an on hold button.

Abstract: A system and method that includes a ride requestor device, a driver device, a server device, and a user device is disclosed. The ride requestor device provides rider information and stop location information for a plurality of riders. The driver device provides location information, navigation information, and stop timing information for a particular vehicle in a fleet of vehicles. The server device includes an artificial intelligence engine which generates and optimizes a plurality of routes for service by the fleet of vehicles to provide a ride to each one of the plurality of riders.

Abstract: Described herein is a method by which more than one person is enabled to actively participate in the process of finalizing a real estate property either for purchase or rent. Each deciding party is enabled to create a custom style profile capturing their individual preferences at an attribute level by providing both visual and verbal feedback. A Collective Preferences Profile (CPP) is created by integrating the multiple style profiles of the chosen deciding parties. The generated CPP is then utilized to curate the different houses available and to surface those houses that are most likely to fit the aesthetic and requirements of the combined audience. The CPP evolves on an ongoing basis by active solicitation of feedback on properties viewed or waitlisted to accommodate changing preferences and provide the most suited recommendation at any time.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, which can include: performing a first lookup call to a first cache of one or more proximate access points based on the primary store; and when a list of the one or more proximate access points is not retrieved in the first lookup call: performing a second lookup call to a second cache of active access points; determining the one or more proximate access points from among the active access points; and storing the one or more proximate access points in the first cache to update the first cache. The method also can include transmitting, for display to the user, a list of available time slots based on availability of time slots at the primary store and the one or more secondary stores. Other embodiments are described.

Abstract: A method for a graphical user interface (GUI) of a computer system is provided. The method comprises displaying within a first portion the GUI, an electro-anatomical map of the heart, said electro-anatomical map comprising a plurality of measurement points within the heart for which data was collected; displaying a plurality of markers, each representing a respective one of said measurement points spatially in relation to the geometry of the heart within said first portion; determining, by a processor, user-selection of a particular measurement point within the heart through selection of its associated marker; responsive to said user-selection of the particular measurement point, retrieving at least one metric associated with said measurement point; and displaying in a second portion of the GUI, each retrieved metric associated with a particular measurement point within the heart.

Abstract: Described herein are methods of improving the appearance of skin, or at least one sign of skin aging, using Micrococcus luteus compositions. The invention also relates to topical compositions, kits useful in such methods, and to methods of manufacturing topical compositions.

Abstract: A graphical user interface and a system are provided which include a route identification interface element which specifies a new route for a vehicle, a plurality of route type buttons, a vehicle type interface, a stop order interface, a map, a control button, and an assignment button. The stop order interface identifies one or more stops for a vehicle in a fleet of vehicles. The map identifies the new route and the one or more stops graphically on the graphical user interface. The control button provides a utilization view for the one or more vehicles in the fleet of vehicles from which a vehicle from the one or more vehicles in the fleet of vehicles that are available can be assigned to the new route.

Abstract: Described herein is an oral composition, such as a toothgel or a toothpaste, comprising Streptococcus salivarius, a viscosity modifier, a buffering agent, and a non-aqueous carrier. Advantageously, the oral composition may provide a desirable property, including a delayed release profile of the probiotic, improved colonisation in an oral cavity of a subject, improved stability and/or improved syneresis.

Abstract: A method for calculating conduction velocity of a cardiac activation wavefront from electrophysiological (“EP”) data points generated by a mapping system during a mapping procedure for a heart is provided. The method comprises for each EP data point comprising a local activation time, and position data defining a location within the heart corresponding to the local activation time: defining a neighborhood of EP points comprising the EP data point and a selection of neighboring EP data points; representing local activation time as a function f(x,y), where x and y our coordinates within a hyperplane defined to contain the neighborhood of EP data points based on the position data for each EP data point in the neighborhood; and calculating conduction velocity at the EP data point as a norm function of a gradient for the function f(x,y).

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, based at least in part on a pickup type of the order. The method also can include determining real-time availabilities of first time slots at the primary store and real-time availabilities of second time slots at the one or more secondary stores. The method additionally can include generating a list of available time slots comprising at least a portion of the first time slots at the primary store and at least a portion of the second time slots at the one or more secondary stores, based at least in part on the real-time availabilities of the first time slots at the primary store and the real-time availabilities of the second time slots at the one or more secondary stores.

Abstract: The present disclosure relates to systems that perform text-based palette searches that convert a text query into a color distribution and utilize the color distribution to identify relevant color palettes. More specifically, the disclosed systems receive a textual color palette search query and convert, utilizing a text-to-color model, the textual color palette search query into a color distribution. The disclosed systems determine, utilizing a palette scoring model, distance metrics between the color distribution and a plurality of color palettes in a color database by: identifying swatch matches between colors of the color distribution and unmatched swatches of the plurality of color palettes and determining distances between the colors of the color distribution and matched swatches of the plurality of color palettes. The disclosed systems return one or more color palettes of the plurality of color palettes in response to the textual color palette search query based on the distance metrics.

Abstract: A system and method of automated driver selection is disclosed. A plurality of driver profiles and a first order are received. Each of the driver profiles includes at least one driver parameter. The first order includes at least one order parameter. A driver score is calculated for each of the plurality of driver profiles for the first order. The driver score is calculated based on the at least one driver parameter and the at least one order parameter. Each driver profile is ranked based on the calculated driver score and a first delivery assignment request is transmitted to a system associated with a first-ranked driver profile. A response is received to the first delivery assignment request.

Abstract: Horizontally-scalable systems and methods for scheduling and optimizing deliveries are described herein. At least one scheduler is configured to receive a request to schedule a delivery for an origination location. The request includes a desired time slot. The request is compared to a persistent delivery snapshot for the origination location to determine availability of the desired time slot. An interim delivery snapshot including the requested delivery is generated when the persistent delivery snapshot has an available time slot corresponding to the desired time slot. At least one optimizer is configured to receive the interim delivery snapshot and generate an updated persistent delivery snapshot by applying an optimization process to the interim delivery snapshot.

Abstract: Systems and methods for detecting and using semantic relatedness to classify segments of digital text are disclosed. More particularly, embodiments determine the semantic relatedness of segments of text to abstract categories where the abstract categories are not defined by a single word or semantic concept. Detecting semantic relatedness includes analyzing text, embedding the text, and determining semantic relatedness to a set of concepts for a category where each concept may include a set of words/phrases embedded in a similar fashion. The text embedding can be projected onto each concept embedding and reduced to a score representing semantic relatedness. The text is classified based on the semantic relatedness.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: Providing overload protection may include receiving, from a first NRF of two or more NRFs, a load metric and comparing the load metric to a threshold. Additionally, when the load metric is above the threshold, providing NRF overload protection may include sending a Network Function (NF) Discovery (NFD) message to a second NRF instead of the first NRF and sending a heartbeat signal to the first NRF.

Abstract: Techniques are disclosed to identify if a current chamber being mapped is a target chamber that is desired to be mapped based on the relative position of the local activation time relative to QRS onset. Techniques are also disclosed whereby cardiac data can be labeled to indicate whether a beat was acquired while in the ventricle, or in the atrium.

Abstract: Optimizing modify bearer request handling may be provided. A Modify Bearer Request (MBR) may be received by a Serving Gateway (SGW) for a User Equipment (UE). Then a current User Location Information (ULI) may be compared, in the MBR, to a previous ULI. It may then be determined, based on the comparison, determining, if the current ULI and the previous ULI are included in a same Extended-ULI (E-ULI). Next, when the current ULI and the previous ULI are included in the same E-ULI, the MBR may be suppressed from being forwarded to the Packet Data Network (PDN) Gateway (PGW).