Abstract: A drive system for cleaning debris within a medical tube. The drive system includes a housing defining an interior and an elongated guide wire residing at least partially within the interior. A roller is disposed in said interior in frictional engagement with the guide wire, said roller being configured to rotate about an axis. The drive system also includes a motor operable to drive the roller in order to both advance or withdraw said guide wire via said frictional engagement therewith through said inlet.

Abstract: A device for clearing obstructions from a medical tube includes a housing defining an interior, an exterior, and a port providing fluid communication therebetween. The device further includes an elongated guide wire residing at least partially within the housing, and first and second rollers defining a nip therebetween that are located within the housing. A guide wire extends through the nip and is drivable for advancement and retraction thereof through the port via rotation of the rollers.

Abstract: This invention is related to the use of a volatile antimicrobial compound against pathogens. The volatile antimicrobial compounds provided include certain oxaborole compounds, for example benzoxaboroles. Delivery systems are provided to take advantage of the volatile nature of these antimicrobial compounds. The method and use disclosed can be combined with other volatile compounds.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.