Abstract: The present invention relates to apparatus and methods for cleaning, decontaminating, and/or sterilizing an instrument during the intraoperative phase of a surgical procedure. In exemplary embodiments, the apparatus comprises: a container having an aperture, a bottom portion, and at least one sidewall defining an instrument bath configured to hold a cleaning agent; a vibration means and radiation means coupled to the container; and a power supply. It is contemplated that at least one of the sidewalls of the container comprises a longitudinal channel disposed within the sidewall for housing the radiation means. It is further contemplated that the cleaning agent can comprise an aqueous solution of chlorohexidine, that the radiation means is configured to emit ultraviolet radiation in a range of at least 100 nanometers to 400 nanometers, and that the vibration means is configured to emit ultrasonic radiation in a range of at least 20 kilohertz to 120 kilohertz.

Abstract: The present invention relates to apparatus and methods for cleaning, decontaminating, and/or sterilizing an instrument during the intraoperative phase of a surgical procedure. In exemplary embodiments, the apparatus comprises: a container having an aperture, a bottom portion, and at least one sidewall defining an instrument bath configured to hold a cleaning agent; a vibration means and radiation means coupled to the container; and a power supply. It is contemplated that at least one of the sidewalls of the container comprises a longitudinal channel disposed within the sidewall for housing the radiation means. It is further contemplated that the cleaning agent can comprise an aqueous solution of chlorohexidine, that the radiation means is configured to emit ultraviolet radiation in a range of at least 100 nanometers to 400 nanometers, and that the vibration means is configured to emit ultrasonic radiation in a range of at least 20 kilohertz to 120 kilohertz.

Abstract: A computer-implemented method, including: analyzing, by a computing device, historical information associated with a business application; determining, by the computing device, a business process based on the analyzed historical information; generating, by the computing device, a virtual reality simulation of the business process; identifying, by the computing device, a business application requirement based on a user interaction with the virtual reality simulation; and generating, by the computing device, the ad-hoc application based on the identified business application requirement.

Abstract: A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.

Abstract: A method comprises receiving a set of log files that correspond to a detected anomaly in a software system. The set of log files are input into a first classification algorithm. A set of classified log events is received from the first classification algorithm. The set of classified log events is input into a second classification algorithm. A classification of the detected anomaly is obtained from the second classification algorithm.

Abstract: A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.

Abstract: An easy-opening, liquid-tight package has an interior space for storage. The package includes a front wall, a rear wall opposing the front wall, a pair of opposing side walls, a bottom wall and a top wall opposing the bottom wall. A seal wall is contiguous with the top wall and extends from a juncture of the top wall and the seal wall. The seal wall has an edge that is opposite the juncture. The seal wall is sealed to the front wall at an exterior surface of the front wall. At least one line of weakness is formed in the top wall, extending from the seal wall at the edge into the top wall. The line of weakness defines a cover portion of the top wall. The cover portion is formed from a portion of the seal wall and a portion of the top wall. When the top wall and seal wall are separated along the line of weakness, the cover portion is separable from the package to define an open area for accessing the interior storage space of the package. A blank for the package is also disclosed.