Abstract: Embodiments for real-time self-adaptive tuning and control of a device using machine learning are disclosed. For example, a method includes receiving real-time data for a plurality of parameters of the device from a plurality of sources associated with the device and selecting at least one machine learning model from a plurality of machine learning models based on the received real-time data. The method further includes predicting at least one control set point based on the at least one selected machine learning model. The at least one predicted control set point of the device is adjusted for the real-time self-adaptive tuning and control of the device.

Abstract: Embodiments for managing real-time alerts using machine learning are disclosed. For example, a method includes receiving real-time data for one or more parameters of a device for which an alert is to be generated, from one or more sources associated with the device, and selecting a first machine learning model from a plurality of machine learning models based on the received real-time data. The method further includes determining at least one anomaly in the device based on the selected first machine learning model and predicting an impact of the determined at least one anomaly based on a second machine learning model of the plurality of machine learning models. Furthermore, the method includes generating the alert for the device in real-time based on the predicted impact of the determined at least one anomaly and receiving feedback on the generated alert in real-time.

Abstract: The disclosure relates to generally to the field of therapeutic and/or protective vaccination against Clostridium dificile (C. difficile). More specifically, it relates to methods for immunizing a host against C. difficile strains expressing C. difficile binary toxin (CDT) and strains not expressing CDT. These methods involve the administration to a host of an immunogenic composition comprising inactivated purified C. difficile Toxin A and purified Toxin B. The purified C. difficile toxins may be derived from a C. difficile strain that does not express CDT.

Abstract: The disclosure relates to generally to the field of toxin inactivation. More specifically, it relates to clostridial toxins, methods of inactivating these toxins and compositions (e.g., vaccines) comprising toxoids (e.g., produced by these methods). Provided are methods of producing a C. difficile toxoid comprising inactivating a C. difficile toxin with formaldehyde. Toxoids prepared by these methods are stable at high temperature (e.g., 37° C.) and remain non-cytotoxic with minimal residual formaldehyde.

Abstract: A mount for supporting a gun, bow, or other object is provided. The mount includes a support for contacting a ground surface, a beam extending from the support and being pivotable relative thereto, and a first and second clamp assembly extending from the beam for clamping the object thereabout.

Abstract: The disclosure relates to generally to the field of toxin inactivation. More specifically, it relates to clostridial toxins, methods of inactivating these toxins and compositions (e.g., vaccines) comprising toxoids (e.g., produced by these methods). Provided are methods of producing a C. difficile toxoid comprising inactivating a C. difficile toxin with formaldehyde. Toxoids prepared by these methods are stable at high temperature (e.g., 37° C.) and remain non-cytotoxic with minimal residual formaldehyde.