Abstract: The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely manage and regenerate cryptographic keys using permissioned distributed ledgers. For example, a device may receive, from a first computing system, data indicative of a recordation of a first public key onto a distributed ledger. Based on an occurrence of a regeneration condition, the device may transmit, to a second computing system, a second public key and a first digital signature, and the second computing system may validate the first digital signature, apply a second digital signature to the second public key, and transmit the second public key and the digital signatures to the first computing system. The device also receives, from the first computing system, additional data indicative of a recordation of the second public key onto the distributed ledger, and based on the additional data, the device may invalidate the first private key.

Abstract: Binding members for alpha chain of receptor for granulocyte macrophage colony stimulating factor (GM-CSFR?), especially antibody molecules. Use of the binding members in treating inflammatory and autoimmune diseases, e.g. rheumatoid arthritis, asthma, allergic response, multiple sclerosis, myeloid leukaemia and atherosclerosis.

Abstract: Creating scent models and using scent models in cross-reality environments can include capturing experience data identifying a scent detected and a context in which the scent was detected. The experience data can be provided to a scent modeling service to generate a scent model that can represent perceived scents and perceived scent intensities for a user. The scent model can be used to generate cross-reality session data to be used in a cross-reality session presented by a cross-reality device. The cross-reality device can include a scent generator and can generate the cross-reality session using data obtained from the user device. The cross-reality device can generate a further scent during the cross-reality session based on the scent model.

Abstract: Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks.

Abstract: Extended reality augmentation of situational navigation (e.g., using a computerized tool) is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: based on a route of a vehicle, determining a navigational instruction to be displayed via an augmented reality interface of the vehicle, and displaying the navigational instruction via the augmented reality interface, wherein displaying the navigational instruction comprises displaying a virtual leading vehicle to be followed by the vehicle.

Abstract: Virtual assistants (VAs) can be managed in interactions with users, other VAs, and devices, including in connection with medical care associated with users. A VA management component (VAMC) can analyze medical information and other information relating to users, including information obtained by a VA(s) from a user(s). Based on the analysis, VAMC can determine a model relating to medical care associated with users. VAMC can determine a proposed action relating to the health or medical care associated with a user based on the model. A VA can present action information relating to the proposed action, or other information relating to health or medical care associated with the user, to the user or a device associated with the user. VAMC can determine drug-drug or drug-food interactions or side effects, and the VA can notify the user regarding the drug-drug or drug-food interactions or side effects.

Abstract: In one example, a method performed by a processing system including at least one processor includes downloading at least one digital resource relating to a user-defined location, acquiring data about the user-defined location from a sensor located in the user-defined location, while the user is present in the user-defined location, detecting a user need based on the data from the sensor, augmenting the at least one digital resource with the data from the sensor to produce content that is responsive to the user need, and presenting the content that is responsive to the user need.

Abstract: Aspects of the subject disclosure may include, for example, a device with a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of ingesting facilities infrastructure data for more than one facility; training a machine-learning (ML) model from the facilities infrastructure data, wherein the ML model infers features absent in the facilities infrastructure data and yields a score of a facility described by the facilities infrastructure data; receiving a query for a region from a user; identifying one or more facilities provided in the region; generating a map of the one or more facilities using the ML model; and providing a visualization interface to the user including the map and the score of the one or more facilities responsive to the query. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of constructing a composite machine-learning (ML) model for facilities infrastructure from facilities infrastructure data; training the composite ML model with historical availability data, historical performance data, and historical error rates, wherein the composite ML model yields quality of the facilities infrastructure; receiving a query of a facility in an area from a user; predicting a quality of the facility based on recent facilities data using the composite ML model; and providing the quality of the facility responsive to the query. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes acquiring a first item of media content from a user, where the first item of media content depicts a subject, acquiring a second item of media content, where the second item of media content depicts the subject, compositing the first item of media content and the second item of media content to create, within a metaverse of immersive content, an item of immersive content that depicts the subject, presenting the item of immersive content on a device operated by the user, and adapting the presenting of the item of immersive content in response to a choice made by the user.

Abstract: In one example, a method performed by a processing system including at least one processor includes acquiring a first item of media content from a user, where the first item of media content depicts a subject, acquiring a second item of media content, where the second item of media content depicts the subject, compositing the first item of media content and the second item of media content to create, within a metaverse of immersive content, an item of immersive content that depicts the subject, presenting the item of immersive content on a device operated by the user, and adapting the presenting of the item of immersive content in response to a choice made by the user.

Abstract: Aspects of the subject disclosure may include, for example, engaging in first communications between a device and a first user device, the first communications comprising a first visual representation sent from the first user device to the device of first actions performed by a first user; engaging in second communications between the device and a second user device, the second communications comprising a second visual representation sent from the second user device to the device of second actions performed by a second user, the second communications occurring substantially simultaneously with the first communications; making a first determination via machine learning, based at least in part upon the first visual representation, whether performance of a first task by the first user has been completed; making a second determination via the machine learning, based at least in part upon the second visual representation, whether performance of the first task by the second user has been completed; responsive to th

Abstract: Aspects of the subject disclosure may include, for example, obtaining contextual information relating to a user, where the contextual information comprises location data that identifies a location of the user, identifying media content that relates to the contextual information and to profile data associated with the user, deriving, from the media content, personalized media content based on the profile data associated with the user, causing a target device to provide an immersion environment that includes the personalized media content, detecting user interaction data relating to the immersion environment, and performing an action relating to the personalized media content based on the detecting the user interaction data. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, facilitating a collaborative shopping session between first equipment of a first user and second equipment of a second user; obtaining a first shopping preference of the first user; obtaining a first image of first stock currently available for purchase in a first physical store; selecting, based at least in part upon the first shopping preference of the first user, a selected other physical store, the selected other physical store being selected from among at least a second physical store and a third physical store; obtaining a second image of second stock currently available for purchase in the selected other physical store; combining the first image and the second image into a combined image; sending to the first equipment the combined image; and sending to the second equipment the combined image. Other embodiments are disclosed.

Abstract: Disclosed are systems and methods for determining the best time to send an electronic communication from a sender to a recipient. In one aspect, a method is disclosed that includes selecting a time window from a series of candidate time windows based on a corresponding first value for each candidate time window, wherein each first value is representative of a likelihood of receiving an event notification within a specified first delay after the candidate time window. The method further includes selecting a time period from a plurality of time periods within the selected time window based on a corresponding second value for each time period representative of the likelihood of receiving the event notification within a specified second delay after the time period. The method further includes generating a signal indicative of a time within the selected time period at which an electronic communication should be sent.

Abstract: Disclosed are systems and methods for determining the best time to send an electronic communication from a sender to a recipient. In one aspect, a method is disclosed that includes selecting a time window from a series of candidate time windows based on a corresponding first value for each candidate time window, wherein each first value is representative of a likelihood of receiving an event notification within a specified first delay after the candidate time window. The method further includes selecting a time period from a plurality of time periods within the selected time window based on a corresponding second value for each time period representative of the likelihood of receiving the event notification within a specified second delay after the time period. The method further includes generating a signal indicative of a time within the selected time period at which an electronic communication should be sent.

Abstract: The invention concerns a rotary assembly for a turbomachine, comprising a disk of which the outer periphery is formed from an alternation of cavities and teeth (12), and blades extending radially from the disk and of which the roots (16) are engaged axially and held radially in the cavities of the disk. According to the invention, the teeth of the disk and the blade roots comprise, at the upstream and/or downstream axial ends of same, axial shoulders (74, 76) disposed circumferentially end-to-end in alternation and together forming a cylindrical surface (78) facing radially towards the inside of the disk.

Abstract: Fiber optic assemblies include subunit cables wrapped in binders. The assemblies have small cross sections and low bend radii while maintaining acceptable attenuation losses. Stranding of the subunit cables allows ease of access to the individual cables during installation.

Abstract: A tool and a method for installing one or more cables into a molding is disclosed. The tool includes a laying chute on a first end of the tool having an open passage along its length for inserting one or more cables into the laying chute. The tool also includes one or more closing devices that are rotatably attached to the laying chute to allow insertion of the one or more cables into the laying chute. The cable is inserted into the laying chute and secured using the closing devices. Thereafter, the tool is moved along the length of the molding for inserting the cable therein.

Abstract: Fiber optic assemblies include subunit cables wrapped in binders. The assemblies have small cross sections and low bend radii while maintaining acceptable attenuation losses. Stranding of the subunit cables allows ease of access to the individual cables during installation.