Abstract: High-temperature thermochemical energy storage materials using doped magnesium-transition metal spinel oxides are provided. —transition metal spinel oxides, such as magnesium manganese oxide (MgMn)3O4, are promising candidates for high-temperature thermochemical energy storage applications. However, the use of these materials has been constrained by the limited extent of their endothermic reaction. Embodiments described herein provide for doping magnesium-transition metal spinel oxides to produce a material of low material costs and with high energy densities, creating an avenue for plausibly sized modules with high energy storing capacities.

Abstract: Systems and methods are provided for generating a statistical parameter representing a state of a surgical procedure from sensor data. Sensor data representing a time period. is received from a sensor. Numerical features representing the time period are generated from the sensor data. Each of a plurality of long short term memory units are updated according to the plurality of numerical features via a message passing process. The long short term memory units are connected to form a graph, with a first set of the long short term memory units representing a plurality of nodes of the graph and a second set of the long short term memory units representing a plurality of hyperedges of the graph. A statistical parameter representing a state of the surgical procedure for the time period is derived from an output of one of the long short term memory units and provided to a user.

Abstract: Systems and methods are provided for identifying a current phase of a surgical procedure. Sensor data representing a time period is received and a plurality of numerical features representing the time period are generated from the sensor data. A statistical parameter representing a plurality of stored values from a memory is generated at a sufficient statistics model. An output, representing a surgical phase associated with the time period is provided at a recurrent neural network from a set of inputs that includes the plurality of numerical features and the statistical parameter.

Abstract: A surgical procedure on a patient is monitored at a sensor to provide an observation. A current surgical state is estimated as a belief state over of a plurality of surgical states, representing different phases of the surgery, from the observation and an observation function for each surgical state. A world state of a plurality of world states representing a state of one of the patient, a medical professional performing the surgical procedure, and the environment in which the surgical procedure is being conducted is estimated from the estimated surgical state. From the estimated surgical state, the estimated world state, and a model, at least one surgical state that will be entered during the surgical procedure is predicted and an output representing the predicted at least one surgical state is provided O at an associated output device.