Abstract: Disclosed embodiments may provide a framework to measure and leverage the observable attributes that most directly affect the data stability of a customer. In addition, embodiments track the dynamics of the observable components that sustain the data stability of a customer. Embodiments may be used to estimate the stability of a variety of conditions for various contexts, such as the stability of a computing system over time.

Abstract: Various systems and methods for configurable modular devices are disclosed. For example, a system may be configured for swappable wiring configurations, LED light engine encodings, wireless network health determination and wireless health heatmap generation, wireless power transfer and replaceable batteries, AI modules for switch configurations, and/or the like individually and/or in combination. The system may include a modular control unit with a backplate. The backplate may include a first assembly configured to be fastened to a junction box and a removably couplable cup portion configured to be removably couplable to the first assembly and configured to electrically couple to wires of the junction box. The removably couplable cup portion may include a recess that includes a set of backplate electrical contacts.

Abstract: A computer-implemented method that includes obtaining a plurality of values each corresponding to one of a plurality of variables. The plurality of variables include variables of interest. The method includes obtaining a prediction for the values from a model, determining metric(s) for each of the variables of interest, and determining one or more of the variables of interest to be one or more influential variables based on the metric(s) determined for each of the variables of interest. The variables include one or more non-influential variables that is/are different from the influential variable(s). The influential variable(s) has/have a greater influence on the prediction than the non-influential variable(s).

Abstract: A computer-implemented method that includes obtaining a plurality of values each corresponding to one of a plurality of variables. The plurality of variables include variables of interest. The method includes obtaining a prediction for the values from a model, determining metric(s) for each of the variables of interest, and determining one or more of the variables of interest to be one or more influential variables based on the metric(s) determined for each of the variables of interest. The variables include one or more non-influential variables that is/are different from the influential variable(s). The influential variable(s) has/have a greater influence on the prediction than the non-influential variable(s).

Abstract: Disclosed embodiments may provide a framework to measure and leverage the observable attributes that most directly affect the data stability of a customer. In addition, embodiments track the dynamics of the observable components that sustain the data stability of a customer. Embodiments may be used to estimate the stability of a variety of conditions for various contexts, such as the stability of a computing system over time.

Abstract: A system for occupancy detection and prediction is disclosed. The system may include a modular control unit configured to control power to at least one load device, which may include a device control assembly configured to be removably coupled to a backplate. The device control assembly may include an occupancy sensor configured to detect a current occupancy state of a detection zone. The device control assembly may be configured to determine occupancy routines based on historical occupancy states of the detection zone and to predict future occupancy states. The device control assembly may be configured to control the power to the at least one load device based on the predicted future occupancy states.

Abstract: A system is disclosed. The system may include a modular control unit configured to control power to at least one load device. The modular control unit may include a backplate with a recess that includes a set of backplate electrical contacts. The system may also include a contact element configured to receive the power. The system may also include at least one device control assembly configured to be removably coupled to the backplate. The device control assembly may include a set of device control assembly electrical contacts configured to electrically couple with the set of backplate electrical contacts of the backplate when the at least one device control assembly is coupled to the backplate and configured to electrically decouple from the set of backplate electrical contacts when the at least one device control assembly is decoupled from the backplate.

Abstract: A topical preparation for use in treating dermatological ailments is prepared from a mixture comprising salicylic acid or a salt thereof, zinc or a salt thereof, iodine or a salt thereof, and a pharmaceutically acceptable carrier vehicle. The preparation comprises any one or more of anti-inflammatory properties, keratolytic properties, anti-pruritic properties, anti-carcinogenic properties. Methods of treatment involving topical application of the preparation are also described.

Abstract: Provided is a method of treatment of COVID-19 and/or preventing infection with SARS-CoV-2 comprising: administering to an individual in need thereof a therapeutically effective dose of mifepristone, or a pharmaceutically acceptable salt and/or analogue thereof, and a therapeutically effective dose of amlodipine, or a pharmaceutically acceptable salt thereof.

Abstract: A computer-implemented method that includes obtaining a plurality of values each corresponding to one of a plurality of variables. The plurality of variables include variables of interest. The method includes obtaining a prediction for the values from a model, determining metric(s) for each of the variables of interest, and determining one or more of the variables of interest to be one or more influential variables based on the metric(s) determined for each of the variables of interest. The variables include one or more non-influential variables that is/are different from the influential variable(s). The influential variable(s) has/have a greater influence on the prediction than the non-influential variable(s).

Abstract: In one embodiment, a configurable system may be capable of verification and include a modular control unit configured to control power. The modular control unit may include a first contact element configured to receive the power, a backplate, and at least one device control assembly. Other embodiments may include a system configured for dynamically assignable pairings. Further embodiments may include a backplate configured to control power to at least one load device, the backplate including one or more power control elements. Additional embodiments may include a system including a receptacle. The system with the receptacle may include a modular control unit, a backplate, a contact element, and at least one device control assembly configured to be removably coupled to the backplate.

Abstract: A computer-implemented method that includes obtaining a plurality of values each corresponding to one of a plurality of variables. The plurality of variables include variables of interest. The method includes obtaining a prediction for the values from a model, determining metric(s) for each of the variables of interest, and determining one or more of the variables of interest to be one or more influential variables based on the metric(s) determined for each of the variables of interest. The variables include one or more non-influential variables that is/are different from the influential variable(s). The influential variable(s) has/have a greater influence on the prediction than the non-influential variable(s).

Abstract: In one embodiment, a configurable system may be capable of verification and include a modular control unit configured to control power. The modular control unit may include a first contact element configured to receive the power, a backplate, and at least one device control assembly. Other embodiments may include a system configured for dynamically assignable pairings. Further embodiments may include a backplate configured to control power to at least one load device, the backplate including one or more power control elements. Additional embodiments may include a system including a receptacle. The system with the receptacle may include a modular control unit, a backplate, a contact element, and at least one device control assembly configured to be removably coupled to the backplate.

Abstract: A backplate may include a backplate housing providing a cavity to removably accept any of a plurality of device control assemblies, where a device control assembly of the plurality of device control assemblies includes a set of device control assembly electrical contacts. The backplate housing may mount to an electrical junction box. The backplate may further include a backplate junction box electrical connector to connect to electrical wiring within the electrical junction box, and a set of backplate electrical contacts to couple to the set of device control assembly electrical contacts.

Abstract: A modular device backbone may include a controller and two or more backplates configured to be distributed throughout a user space and further configured to couple with swappable devices. Any of the two or more backplates may include a configuration storage device to store backplate-based configuration information including a backplate identifier and a controller address for communicating with the controller, and a communication unit to transmit the backplate-based configuration information. Upon coupling of a particular swappable device to a particular backplate, the particular swappable device may receive the backplate-based configuration information from the particular backplate and further communicate with the controller using the controller address to receive controller-based configuration information from the controller, which may include information for communicating with additional swappable devices.

Abstract: Disclosed embodiments may provide a framework to measure and leverage the observable attributes that most directly affect the data stability of a customer. In addition, embodiments track the dynamics of the observable components that sustain the data stability of a customer. Embodiments may be used to estimate the stability of a variety of conditions for various contexts, such as the stability of a computing system over time.

Abstract: A computer-implemented method that includes obtaining a plurality of values each corresponding to one of a plurality of variables. The plurality of variables include variables of interest. The method includes obtaining a prediction for the values from a model, determining metric(s) for each of the variables of interest, and determining one or more of the variables of interest to be one or more influential variables based on the metric(s) determined for each of the variables of interest. The variables include one or more non-influential variables that is/are different from the influential variable(s). The influential variable(s) has/have a greater influence on the prediction than the non-influential variable(s).

Abstract: A living space feature control apparatus includes a living space feature controller, a junction box controller receiver, wireless capabilities, and a programmable user interface. The living space feature control apparatus is configured with modular units including a junction box, backplate, device control assembly and faceplate making the control apparatus toollessly exchanged, upgraded or replaced. The control apparatus functions in a variety of ways including identifying different users, recording user preferences, automatically turning lights on and off according to user preferences, closing blinds automatically, initiating security actions, acting as an intercom system and triangulating occupant location. The living space feature controller may include inductive coils for inductive signal and power transfer and a rotary optical encoder for selectable user living space control.

Abstract: A modular device backbone includes two or more backplates configured to be distributed throughout a user space and further configured to couple with swappable devices. Each of the one or more backplates may include a configuration storage device to store configuration information for communicating with additional swappable devices coupled to additional backplates. Each of the one or more backplates may further include a communication unit to provide the configuration information to a coupled swappable device, where the coupled swappable device unit establishes a communication link to the additional swappable devices based on the configuration information.

Abstract: A method for installing a user-upgradeable load control network includes mounting backplates to electrical junction boxes throughout a building, where at least some backplates include a cavity to interchangeably accept device control assemblies, electrical contacts, and a translatable cover to shield the electrical contacts from the cavity when translated to a closed position and to expose the electrical contacts to inserted device control assemblies. The method may further include connecting the electrical contacts to electrical loads throughout the building. The method may further include installing device control assemblies into the backplates by inserting the one or more device control assemblies and translating the respective covers to the open positions. Further, an installed device control assembly is upgradeable by translating the cover to the closed position, removing the installed device control assembly, inserting device control assembly, and translating the cover to the open position.