Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.

Abstract: A self-targeting method of automated cybersecurity analysis on an operating system on a target computer. An analysis software executable defined by a core engine executable is provided to the target computer and run on the operating system shell. The analysis software executable identifies the specific operating system that is running on the target computer and then causes one or a plurality of bash scripts which correspond to the identified operating system and which have been parsed from security setting entries from a standardized guide for desired security settings. The bash scripts then automatically assess the compliance of various aspects of the target computer system with the security setting entries, generating an output that is compatible with existing viewers for entries of standardized guides.

Abstract: A method and apparatus are provided for gathering analytics. In an embodiment, a method includes monitoring interactions of multiple users related to at least one of: multiple base content and multiple supplemental content. The supplemental content is associated with one or more products or services identified in the base content. The method also includes obtaining interaction information associated with the interactions. The method also includes selecting specified supplemental content to present to a specified user based on (i) the interaction information and (ii) specified base content presented to the specified user. The method also includes sending the specified base content and the specified supplemental content to an endpoint associated with the specified user.

Abstract: Certain aspects of the disclosure related to communications apparatus provides isolation between wireless protocols when operating currently while incurring the additional insertion loss based on providing the isolation only when needed. In an aspect, an apparatus include a switched filter coupled to an antenna where the switched filter includes a filter and a bypass line along with switching circuitry configured to selectively establish a bypass signal path including the bypass line or a filtered signal path including the filter. The apparatus further includes a switched filter controller configured to cause the switching circuitry to selectively connect a transceiver unit to the antenna via the bypass signal path or via the filtered signal path based at least on a frequency band of a carrier signal and a bandwidth of the carrier signal.

Abstract: Embodiments described herein are directed to employing an aggregation of participant sensor coverage areas to determine if there are missing coverage areas or unwanted overlapping coverage areas. If there are missing coverage areas, then at least one participant is instructed to modify its sensor coverage area to at least partially cover the missing coverage area. Conversely, if at least one participant has a sensor that is providing unwanted overlap of other sensor coverage areas, then that participant may be instructed to stop using that sensor, utilize that sensor for other data transmission purposes, or modify the coverage area to be non- or less-overlapping.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: A method for manufacturing a curvilinear track section including: forming a curvilinear track portion; cutting out a first slot grouping from an exterior edge of the curvilinear track portion, wherein the first slot grouping is at a first predetermined angle; cutting out a second slot grouping from the exterior edge of the curvilinear track portion, wherein the second slot grouping is at a second predetermined angle; and inserting motor units into the first and second slot groupings. A curvilinear track section having: a curvilinear track portion; a first slot grouping formed in an exterior edge of the curvilinear track portion, wherein the first slot grouping is at a predetermined angle relative to the exterior edge; a second slot grouping formed in the exterior edge of the curvilinear track portion, wherein the second slot grouping is at a second predetermined angle; and motor units inserted into the first and second slot groupings.

Abstract: A data processing system for searching network requests to extract values of parameters in the network requests includes a shared memory that stores data structures, wherein each of the data structures is stored in association with a value of a key, and wherein each of the data structures includes one or more entries for storage of data representing a network request. A parser engine parses a particular network request for values of parameters and for a value of a key. A search engine queries the shared memory for a particular data structure stored in association with the value of the key. A logic engine detects an absence of a particular entry, in the particular data structure, that stores data representing the particular network request, generates an entry in the particular data structure, and stores in the generated entry the values of the parameters.

Abstract: A toilet seat cover can be adhered to a toilet seat to help a child use the toilet. In embodiments, a toilet seat cover includes a plastic or other thin, flexible sheet having a central void defined therethrough and an adhesive coating on one surface. That surface may be temporarily adhered to a toilet seat to maintain the toilet seat cover in position. The child may then sit on the toilet seat cover to relieve himself, with the toilet seat cover screening the child from touching unsanitary surfaces of the toilet seat or toilet and suspending the child over the toilet bowl. Once the child has finished and is off the toilet seat cover, the cover may be removed by rolling or folding.

Abstract: A system for processing user utterances and/or text based queries that tracks entities and other context data of a current dialog between the system and the user and can fill slots for new intents of the dialog by performing statistical processing on previously mentioned entities with respect to current slots to be filled. The system may compare a previously mentioned entity to a current slot to be filled using vector representations, such as word embeddings, of the current utterance, dialog history, current intent, name of an entity under consideration, category of the current slot to be filled, distance between the current dialog turn and the dialog turn that mentioned the entity, and other considerations. The individual vectors may be weighted according to an attention operation and processed by a trained decoder to output a score indicating whether the entity in consideration is relevant to the particular slot.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: A computer-implemented method includes obtaining a video of a subject, the video including a plurality of frames; generating, based on the plurality of frames, a plurality of optical flows; and encoding the plurality of optical flows using an autoencoder to obtain a movement-based biomarker value of the subject.

Abstract: Embodiments described herein are directed to employing an aggregation of participant sensor coverage areas to determine if there are missing coverage areas or unwanted overlapping coverage areas. If there are missing coverage areas, then at least one participant is instructed to modify its sensor coverage area to at least partially cover the missing coverage area. Conversely, if at least one participant has a sensor that is providing unwanted overlap of other sensor coverage areas, then that participant may be instructed to stop using that sensor, utilize that sensor for other data transmission purposes, or modify the coverage area to be non- or less-overlapping.

Abstract: Seamless connectivity utilizing multi-domain security by storing a global key on each participant computing devices. When a participant computing device tries to connect to a network, the network sends encryption keys for that network in response to that participant computing device providing the global key and not being blacklisted. The participant computing device can then connect to the network using that network's encryption key. A meta-message container is generated for the message based on a next participant in a route from the transmitting participant to the destination participant. One or more series of one or more line items are generated for the message, with each line item being tagged tag with network information. The line items are encrypted based on the network information. The meta-message container and the encrypted series of line items are then transmitted to the next participant.

Abstract: A method includes: obtaining, by a computer, subject response data including audio data, video data, or audio-video data of a subject's response to one or more stimuli presented to the subject over a defined time period; extracting at least one subject descriptor from the subject response data as a function of time, the at least one subject descriptor including data characterizing involuntary or voluntary action of the subject in response to the one or more stimuli; deriving, from the at least one subject descriptor, a first biomarker characterizing a behavior of the subject in response to the one or more stimuli, in which a value of the first biomarker is indicative of a severity of a disease in the subject; and outputting a disease severity level for the disease as a function of the value of the first biomarker.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.