Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: Advanced infrastructure management. In an embodiment, infrastructure domain(s) are imported. Each domain comprises representations of infrastructure asset type(s), activity type(s) related to the asset type(s), and standards and compliance parameters related to the asset type(s). A plurality of representations of infrastructure assets of the asset type(s) are stored. Each of the representations of infrastructure assets comprises location information representing a geolocation of the asset, and updated location information is continually received for infrastructure asset(s), such that the location information for those infrastructure asset(s) is continually updated. In addition, at least one rating is generated for each of the infrastructure assets based on the standards and compliance parameters, and workplan(s) comprising activity(ies) to be performed on infrastructure asset(s) may be generated.

Abstract: A clip-on reducer tool assembly for seating a spinal fixation rod in a rod receiving implant, the tool assembly has an outer sleeve. The outer sleeve has a proximal end with a cylindrical portion having a threaded opening, a first leg extension extending therefrom to a distal end, and a second leg extension joined to the first leg extension at an intermediate location between the distal end and proximal end. The second leg extension extends from the distal end toward the proximal end to a lever end spaced from the cylindrical portion. The leg extensions at the distal end have grasping members to engage an outer surface of a rod receiving implant and a fulcrum proximally located near the intermediate location configured to enlarge the space between the leg extension at the distal end as the lever end is depressed inwardly relative to a longitudinal axis of the outer sleeve.

Abstract: Orthopedic device caddies and kits including orthopedic device caddies. In one example, the orthopedic device caddy includes a caddy body, an elongated opening extending into the caddy body including an alignment portion and an orthopedic device retention portion. The orthopedic device retention portion of the elongated opening holds an orthopedic device having an orthopedic device engagement feature. The alignment portion of the elongated opening aligns an instrument engagement feature of an orthopedic instrument relative to the orthopedic device engagement feature.

Abstract: Advanced infrastructure management. In an embodiment, infrastructure domain(s) are imported. Each domain comprises representations of infrastructure asset type(s), activity type(s) related to the asset type(s), and standards and compliance parameters related to the asset type(s). A plurality of representations of infrastructure assets of the asset type(s) are stored. Each of the representations of infrastructure assets comprises location information representing a geolocation of the asset, and updated location information is continually received for infrastructure asset(s), such that the location information for those infrastructure asset(s) is continually updated. In addition, at least one rating is generated for each of the infrastructure assets based on the standards and compliance parameters, and workplan(s) comprising activity(ies) to be performed on infrastructure asset(s) may be generated.

Abstract: An orthopedic implant which generally includes a frame structure and a porous structure. Both the frame and porous structure at least partially define at least six surfaces which make a three-dimensional profile of the implant. The porous structure is positioned at least partially within the three-dimensional profile.

Abstract: An orthopedic implant which generally includes a frame structure and a porous structure. Both the frame and porous structure at least partially define at least six surfaces which make a three-dimensional profile of the implant. The porous structure is positioned at least partially within the three-dimensional profile.

Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: A distributed identity server cluster maintains a first communication channel between an endpoint device in a first geographic region and a first server. The first server receives a request from the endpoint device to communicate with an application containing a digital key for accessing the endpoint device and stored at an authentication device located in a second geographic region. The server cluster transmits a notification to the application with instructions for the authentication device to connect to the server cluster. The server cluster opens a second communication channel between the authentication device and a second server in communication with the first server. The server cluster transmits data between the endpoint device and the authentication device across the first communication channel and the second communication channel.

Abstract: Advanced infrastructure management. In an embodiment, infrastructure domain(s) are imported. Each domain comprises representations of infrastructure asset type(s), activity type(s) related to the asset type(s), and standards and compliance parameters related to the asset type(s). A plurality of representations of infrastructure assets of the asset type(s) are stored. Each of the representations of infrastructure assets comprises location information representing a geolocation of the asset, and updated location information is continually received for infrastructure asset(s), such that the location information for those infrastructure asset(s) is continually updated. In addition, at least one rating is generated for each of the infrastructure assets based on the standards and compliance parameters, and workplan(s) comprising activity(ies) to be performed on infrastructure asset(s) may be generated.

Abstract: An identity verification system is disclosed for identifying a user based on the classification of user characteristic data. The identity verification system receives a request for access to an operational context that comprises authentication credentials representing an identity of a requesting target user. The system authenticates the identity of the requesting target user by determining an identity confidence value describing a likelihood that an identity of the requesting target user matches the identity represented by the authentication credentials. The system determines a proximity of the requesting target user to the operational context by determining a distance between a location of the requesting computing device and a location of an authenticating computing device operated by the requesting target user. The system grants the request from the requesting target user for access to the operational context if the requesting target user is within a threshold proximity of the operational context.

Abstract: The present disclosure describes a network device that is capable of coordinating the control of light emitters. For example, the network device may receive data indicating conditions for activating the light emitters. The network device may then receive sensor data generated by various sensors, such as motion sensors, light sensors, or a timer. Using the sensor data, the network device may determine that the conditions are satisfied and, in response, cause the light emitters to activate. To activate first light emitters, the network device may transmit a signal to an electronic device that causes the first light emitters to activate. The first light emitters may be powered by the electronic device. Additionally, to activate second light emitters, the network device may transmit signals to the second light emitters that include commands to activate.

Abstract: An orthopedic implant which generally includes a frame structure and a porous structure. Both the frame and porous structure at least partially define at least six surfaces which make a three-dimensional profile of the implant. The porous structure is positioned at least partially within the three-dimensional profile.

Abstract: An identity verification system determines a communication channel that transmits signals between the computer system and an authentication device by selecting a data link circuit at the computer system. The identity verification system transmits an authentication request received at the computer system to the authentication device via the communication channel and the authentication device validates the authentication request. In response to the authentication device validating the authentication request, the identity verification system measures a proximity of the authentication device to the computer system based on data transmitted through a proximity channel. If the measured proximity of the authentication device satisfies a threshold proximity, the user verification system grants grant the target user access to the to the computer system.