Abstract: A node of a database system is operable to determine, at a first time, to prepare for a shutdown. The shutdown of the node is performed at a second time that is a period of time after the first time based on the node delaying the shutdown until a plurality of currently running processes being run by the node that initiated prior to the first time are determined to be complete. During the period of time after the first time and prior to performing the shutdown, a set of new processing requests are rejected by the node.

Abstract: Provided herein are devices, systems, and methods for assessing, treating, and for developing new treatments for pulmonary arterial hypertension (PAH) using pulmonary artery pressure (PAP) values and/or cardiac output (CO) estimates.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented. One or more applications, executing via the location-agnostic compute fabric, provide for access, management, and/or reconfiguration of various aspects of one or more process control systems across one or more physical sites operated by an enterprise. The one or more applications may, for example, provide for viewing of operational parameters and/or health statuses based upon information accessed from one, two, three four or more physical sites.

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.

Abstract: One or more techniques and/or systems are provided for travel speed prediction. A spatial context of a prediction segment of a travel network for which a speed prediction is to be made is identified. The spatial context comprises one or more segments of the travel network that are part of trajectories of objects passing through the predication segment and that have predicted likelihoods of influencing travel speed along the prediction segment above a threshold. Features of the spatial context are formatted into a format compatible for input into the model based upon a structure of the model. The features are input into the model for processing using machine learning functionality to output the speed prediction for the prediction segment.

Abstract: Embodiments of the invention include a cutting guide (360) and methods of using the cutting guide to prepare bone for one or more knee arthroplasty implants. Some embodiments include an alignment mechanism (200), a cutting head (300), and an ankle clamp (400).

Abstract: Embodiments of the invention include a cutting guide (360) and methods of using the cutting guide to prepare bone for one or more knee arthroplasty implants. Some embodiments include an alignment mechanism (200), a cutting head (300), and an ankle clamp (400).

Abstract: One or more techniques and/or systems are provided for slowdown detection. Location data received from vehicles traveling a road is evaluated to identify a road segment associated with vehicle speeds below a threshold. A space-time diagram is generated, and location data associated with vehicles traveling the road segment are plotted within the space-time diagram. The space-time diagram is processed using a convolutional neural network to determine a probability that the space-time diagram illustrates a slowdown. If the probability that the space-time diagram illustrates the slowdown is greater than a threshold, then a notification of the slowdown is transmitted to one or more computing devices associated with vehicles that may encounter the slowdown.

Abstract: Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.

Abstract: In one embodiment, a prosthetic component includes a plurality of fixation pads coupled to a body portion. The fixation pads may be formed of a first material suitable for attachment to bone, and the body portion may be formed of a second material different from the first material and suitable to provide a bearing surface for a joint.

Abstract: Implants, and processes for installing them, which replace the medial condyle and portions of the patellofemoral channel but preferably not portions of the lateral condyle that articulate relative to the tibia. Processes are provided which allow proper location and orientation of an anterior resection and a distal resection on the femur, which make use of a transition point which can be designated on the bone, for navigating proper positioning of such implants. Proper positioning of the implant relative to the femur for insuring a smooth transition between lateral portions of the implant and the lateral condyle is thus reduced to determining proper medial/lateral location of the implant on the anterior and distal resections.

Abstract: A method of modifying the taste of a consumable, comprising adding to a consumable base at least one compound of the formula I in which (a) A is selected from the moieties (b) n is from 0-7, such that X is absent or a linear alkylene group in which n is from 1-7; and (c) Z is absent and Y is a moiety selected from the groups —CHO, or —CH2OH; or (d) Z is present and is a C1-7 linear alkane, and Y is selected from —CHOH, —CO, or —COC(CH3)O. The result is a consumable with enhanced mouthfeel and/or creaminess.

Abstract: In one embodiment, a prosthetic component includes a plurality of fixation pads coupled to a body portion. The fixation pads may be formed of a first material suitable for attachment to bone, and the body portion may be formed of a second material different from the first material and suitable to provide a bearing surface for a joint.