Abstract: Certain aspects of the present disclosure provide techniques for providing edge hardware system for distributed energy resources. One embodiment of a system includes a core device that is deployed in an edge environment of a site, the core device causing the edge hardware system to communicate with a cloud environment to acquire current optimization and load management set points for a charging station, dispatch the current optimization and load management set points through a local communications protocol via a local network to the charging station, and receive data from the charging station through the local network. In some embodiments, the core device causes the hardware system to communicate the data to the cloud environment via a wide area network and control charge and discharge parameters of an energy asset at the charging station using energy-related inputs.

Abstract: Certain aspects of the present disclosure provide techniques for managing a fleet of electric vehicles. An example method includes detecting a trigger event that affects charging characteristics of at least one vehicle in a fleet. The method also includes providing, via an interface, a prompt regarding the trigger event. The method includes presenting, via the interface, decisions to remedy the cause of the triggering event and consequences of the decisions to the charging characteristics of one or more vehicles in the fleet. Additionally, the method includes receiving, via the interface, an input accepting one of the decisions. The method includes providing instructions that affect the operation of at least one charging station based on the accepted decision.

Abstract: Certain aspects of the present disclosure provide techniques for a method of managing charging of vehicles, comprising: estimating a vehicle return state based on telematics data associated with a vehicle; determining a future charging session for the vehicle based on the vehicle return state and one or more of: a vehicle attribute; a job attribute; and a station attribute; generating a hybrid set of charging sessions by adding the future charging session to a set of one or more current charging sessions; and processing the hybrid set of charging sessions with a charging management algorithm to determine one or more charging session attributes for each charging session in the hybrid set of charging sessions.

Abstract: Certain aspects of the present disclosure provide techniques for system for providing an electric vehicle (EV) computing platform that includes an edge environment located at a site that causes the system to perform actions that include receiving first charge data from the edge gateway in a first communication protocol, receiving second charge data from the edge gateway in a second communication protocol, and converting the first charge data and the second charge data into a common protocol. The actions further including creating a first session entry for the first charge session and a second session entry for the second charge session and solving a charge curve associated with the first charge session and the second charge session to determine a first charge to the first energy asset for usage of the first charging station and a second charge of the second energy asset for usage of the second charging station.

Abstract: Provided herein are methods of increasing T-cell function and T-cells produced by these methods. Also provided herein are methods of treating a subject using T-cells produced by these methods.

Abstract: Certain aspects of the present disclosure provide techniques for to managing electric vehicle fleets and management of charging infrastructure to support the electrical vehicle fleets. An example method for electric vehicle fleet management includes determining that an electric vehicle is in route to a charging site including a plurality of charging stations. The method also includes assigning a charging task to the electric vehicle and assigning the electric vehicle to one of the plurality of charging stations based on one or more vehicle characteristics, one or more operation targets of the charging task, and one or more characteristics of the plurality of charging stations. The method includes, in response to determining that the electric vehicle has plugged into the assigned charging station, associating the electric vehicle with a charging session and allocating charging power to the assigned charging station.

Abstract: Mimetic peptides having anti-angiogenic and anti-tumorigenic properties and methods of their use for treating cancer, ocular diseases, such as age-related macular degeneration, and other-angiogenesis-dependent diseases are disclosed, More particularly, an isolated peptide comprising the amino acid sequence LRRFSTAPFAFIDINDVINF, which exhibits anti-angiogenic activity in endothelial cell proliferation, migration, adhesion, and tube formation assays, anti-migratory activity in human breast cancer cells in vitro, anti-angiogenic and anti-tumorigenic activity in vivo in breast cancer xenograft models, and age-related macular degeneration models is disclosed. The isolate peptide also exhibits anti-lymphangiogenic and directly anti-tumorigenic properties.

Abstract: An all-in-one osteotomy fixation device, along with various related components, systems, and methods. The various embodiments include a device body, a bone attachment structure, a removable slot body, and a movable cutting guide moveably attached to the body via a guide coupling structure. The various methods include using any single device embodiment herein to perform all of the steps of the osteotomy procedure.

Abstract: The various embodiments disclosed herein relate to bone fixation devices, including intramedullary fixation or fusion devices. The various devices disclosed include an intermedullary device having a proximal member and a distal member that is articulable in relation to the proximal member. The proximal and distal members have ends that are movably coupled to form a joint that can be actuated to reduce a fracture and realign the bone after insertion of the device into the bone.

Abstract: Certain aspects of the present disclosure provide techniques for electric vehicle charging management. In some examples, a method includes detecting a charge session associated with a charging station; generating an encoded identification message that includes an identifier and sending the encoded identification message to the charging station, the encoded identification message configured to cause the vehicle connected to the charging station to alter a battery charging rate based on the identifier; receiving telematics data from the vehicle, the telematics data including the battery charging rate; decoding the identifier from the battery charging rate; and assigning the charge session to an account associated with the vehicle based on the decoded identifier.

Abstract: Various bone fixation device embodiments include both a fixation device (such as a screw) and a detachable driver device, with the fixation device having an elongate uncannulated fixation shaft, a sharp distal tip, and a proximal head having a first coupling structure and a proximal flat surface, and the detachable driver device having an elongate driver shaft and a distal head having a second coupling structure and a distal flat surface. Further implementations include a combination device comprising both a detachable driver device and a fixation device, along with related systems and methods. In addition, a stabilization device is provided that can be coupled to a detachable driver device and an attachment device to help maintain the coupling of the driver device and the attachment device and help to maintain the coupling thereof during a procedure.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A computing device may authenticate a user of the computing device as an authorized user. The computing device may, in response to authenticating the user of the computing device as the authorized user, transition from a locked state to an unlocked state. The computing device may, in response to authenticating the user of the computing device as the authorized user, determine one or more computing devices that are proximate to the computing device. The computing device may, in response to determining the one or more computing devices that are proximate to the computing device, send to each of the one or more computing devices an indication of successful user authentication by the computing device to enable each of the one or more computing devices to transition from the locked state to the unlocked state without performing user authentication.

Abstract: A discrete VRM card includes a first VRM controller and a second VRM controller. The discrete VRM card also includes a first primary power stage, a second primary power stage, and an adaptable spare stage. The discrete VRM card includes a first switch and a second switch. Closing the first switch connects the adaptable spare converter with an output of the first primary power stage. Closing the second switch connects the adaptable spare converter an output of the second primary power stage.

Abstract: Provided are computing systems, methods, and platforms that automatically produce production-ready machine learning models and deployment pipelines from minimal input information such as a raw training dataset. In particular, one example computing system can import a training dataset associated with a user. The computing system can execute an origination machine learning pipeline to perform a model architecture search that selects and trains a machine learning model for the training dataset. Execution of the origination machine learning pipeline can also result in generation of a deployment machine learning pipeline configured to enable deployment of the machine learning model (e.g., running the machine learning model to produce inferences and/or optionally other tasks such as re-training and/or re-tuning the model).

Abstract: A method for managing a longitudinal position a follower aircraft following a leader aircraft by: obtaining a position and speed of the leader aircraft and a real longitudinal position and speed of the follower aircraft; determining a target longitudinal position of the follower aircraft with respect to the longitudinal position of the leader aircraft; calculating a difference between the target longitudinal position of the follower aircraft and the real longitudinal position of the follower aircraft; comparing the value of the difference with at least one predefined threshold; choosing a control law for controlling the speed of the follower aircraft, from among at least two separate control laws, on the basis of the comparison; and, applying the chosen control law so as to manage the real longitudinal position of the follower aircraft with respect to the position of the leader aircraft.

Abstract: Noise reduction in a robot system includes the use of a gesture library that pairs noise profiles with gestures that can be performed by the robot. A gesture to be performed by the robot is obtained, and the robot performs the gesture. The robot's performance of the gesture creates noise, and when a user speaks to the robot while the robot performs a gesture, incoming audio includes both user audio and robot noise. A noise profile associated with the gesture is retrieved from the gesture library and is applied to remove the robot noise from the incoming audio.

Abstract: A system for assisting formation flight, on board a follower aircraft, determines an estimated position of a wake vortex generated by a leader aircraft and inducing an upward airflow. The system determines a first trajectory, intended to be followed by the follower aircraft, as a trajectory for approaching and tracking the wake vortex, while remaining outside a potential discomfort window. The system determines a second trajectory corresponding to a phantom aircraft as if the follower aircraft is permanently in an optimal position relative to the wake vortex. The system assesses future overshoots of the phantom aircraft relative to maneuvering capabilities of the follower aircraft and to passenger comfort rules. The system possibly modifies the first trajectory as a function of the assessed overshoots.