Described are methods and systems for evaluating glycemic control and glucose homeostasis in a subject. Also described is a model of glucose homeostasis based on proportional and integral terms in a control system. A representative curve is generated based on glucose time series data and fit to the model in order to determine coefficients for each subject. The coefficients provide a digital biomarker of glycemic control for the subject and may be used to identify subjects with glycemic dysfunction.

A cloud-based industrial controller that controls devices, processes, and other assets of an industrial automation system via control algorithms that execute on a cloud platform is presented. A cloud-based collection component collects information from the industrial automation system via cloud gateways associated with the industrial automation system or extrinsic data sources. The cloud-based industrial controller can monitor and analyze the information, generate control instructions based on the analysis results, and communicate the control instructions to the devices, processes, and/or other assets of the industrial automation system to control operation of the industrial automation system. The cloud-based industrial controller also can interface with a industrial plant-based industrial controller, wherein the cloud-based industrial controller can determine supplemental control instructions to the industrial plant-based industrial controller, based on the information, including extrinsic information, to assist in controlling the industrial automation system and control decision-making.

A cloud-based industrial controller that controls devices, processes, and other assets of an industrial automation system via control algorithms that execute on a cloud platform is presented. A cloud-based collection component collects information from the industrial automation system via cloud gateways associated with the industrial automation system or extrinsic data sources. The cloud-based industrial controller can monitor and analyze the information, generate control instructions based on the analysis results, and communicate the control instructions to the devices, processes, and/or other assets of the industrial automation system to control operation of the industrial automation system. The cloud-based industrial controller also can interface with a industrial plant-based industrial controller, wherein the cloud-based industrial controller can determine supplemental control instructions to the industrial plant-based industrial controller, based on the information, including extrinsic information, to assist in controlling the industrial automation system and control decision-making.

A method (500) for localizing gingival inflammation using an oral care device (10), the method comprising: (i) emitting (520) light at a first intensity by a light emitter (42); (ii) obtaining (530) first reflectance measurements reflectance data; (iii) determining (540), by a controller (30) from the first reflectance data, whether the location comprises gingiva; (iv) automatically adjusting (550), based at least in part on the first reflectance data, the intensity of a light emitter to a second intensity different from the first intensity, and/or automatically adjusting (550) a gain of a light detector; (v) obtaining (560) a second plurality of reflectance measurements by the light detector of the oral care device for at least some of the locations; and (vi) determining (570), using the second plurality of reflectance measurements, whether gingiva at the location is inflamed.

A method (500) for localizing gingival inflammation using an oral care device (10), the method comprising: (i) emitting (520) light at a first intensity by a light emitter (42); (ii) obtaining (530) first reflectance measurements reflectance data; (iii) determining (540), by a controller (30) from the first reflectance data, whether the location comprises gingiva; (iv) automatically adjusting (550), based at least in part on the first reflectance data, the intensity of a light emitter to a second intensity different from the first intensity, and/or automatically adjusting (550) a gain of a light detector; (v) obtaining (560) a second plurality of reflectance measurements by the light detector of the oral care device for at least some of the locations; and (vi) determining (570), using the second plurality of reflectance measurements, whether gingiva at the location is inflamed.

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

User interface sessions in a user interface device are initiated or resumed according to stored state data. A session request is received from a first client device. A user profile associated with the session request is identified and a determination made as to whether a previous session exists. If no previous session exists, a new session is instantiated using a default session configuration. If a previous session exists, a new session is instantiated according to the previous session.

User interface sessions in a user interface device are initiated or resumed according to stored state data. A session request is received from a first client device. A user profile associated with the session request is identified and a determination made as to whether a previous session exists. If no previous session exists, a new session is instantiated using a default session configuration. If a previous session exists, a new session is instantiated according to the previous session.

A system comprises premises equipment including premises devices located at a premises. The system includes a partner device located at the premises and configured to use a partner protocol different from a protocol of the premises equipment. The system includes a system server configured to interact with the premises devices. The system server is configured to interact with the partner device via a partner proxy corresponding to the partner device. The system includes automation rules coupled to the system server. The automation rules include actions and triggers for controlling interactions between at least one of the partner device and the premises devices. The system includes a user interface coupled to the system server and configured to interact with the premises devices and the partner device.