Abstract: A button for a drug delivery device with a reduced operating loudness includes a plate-like button body forming a touch surface, wherein the plate-like button body is coupled by an axial supporting member to a noise-generating interface of the drug delivery device and movable into a longitudinal direction of the drug delivery device, wherein the plate-like button body includes a material composite with at least one first component consisting of a first material and at least one second component consisting of a second material different from the first material, wherein the at least one first component and the at least one second component are coupled via at least one coupling plane that is at least section wise slanted or perpendicular to the longitudinal direction. Further, the disclosure describes a button assembly for a drug delivery device which is shock resistant.

Abstract: FIGS. 1-16D & 66A-92D disclose a large variety of methods of forming the headgear for use in combination with a breathing apparatus including a unitary plastic core within textile casings. In some configurations, the plastic core material penetrates or bursts-through the textile casing of the straps. Some configurations include over moulding, alignment posts, T-joints and joint housings with injection aperture. FIGS. 17-65 & 93A-94C disclose a large variety of different headgear arrangements including top strap, front strap, rear strap and pairs of straps extending from the mask above and below the ear to meet behind the ear. FIGS. 95-121B disclose a large variety of connectors connecting the headgear assembly to the mask assembly where the headgear, mask and connector form a closed loop when the connector is disengaged with the mask assembly.

Abstract: A method for iteratively autotuning a high-performance computing system that depends on a set of parameters. Performance is first evaluated two or more times with the current values of the parameters. Afterward at least two evaluations, the median performance is evaluated. The median is then tested against a rule based on a filtering threshold. If the median does not the rule, the current values of the parameters are discarded, and the method is restarted with at least one other value generated by an optimization module; otherwise, a resampling method is performed based on the median and on a confidence interval that decreases with the number of steps of the optimization method.

Abstract: A button for a drug delivery device with a reduced operating loudness includes a plate-like button body forming a touch surface, wherein the plate-like button body is coupled by an axial supporting member to a noise-generating interface of the drug delivery device and movable into a longitudinal direction of the drug delivery device, wherein the plate-like button body includes a material composite with at least one first component consisting of a first material and at least one second component consisting of a second material different from the first material, wherein the at least one first component and the at least one second component are coupled via at least one coupling plane that is at least sectionwise slanted or perpendicular to the longitudinal direction. Further, the disclosure describes a button assembly for a drug delivery device which is shock resistant.

Abstract: A method for iteratively autotuning a high-performance computing system that depends on a set of parameters. Performance is first evaluated two or more times with the current values of the parameters. Afterward at least two evaluations, the median performance is evaluated. The median is then tested against a rule based on a filtering threshold. If the median does not the rule, the current values of the parameters are discarded, and the method is restarted with at least one other value generated by an optimization module; otherwise, a resampling method is performed based on the median and on a confidence interval that decreases with the number of steps of the optimization method.

Abstract: A method for optimizing the run parameters of a software application on an information processing platform, consisting of iteratively optimizing said parameters on each execution of said application, wherein, for each execution of said application (11), a set of said parameters is determined and a run time of said application with said parameters is determined, and an association between said set and said run time is stored in order to create a history (25); and wherein said set is determined by implementing a genetic optimization algorithm comprising a step (21) consisting of selecting two sets of parameters from said history; a step (22) consisting of creating a new set of parameters by recombining said two sets of parameters; and a step (23) of random mutation of said new set of parameters.