Abstract: Aspects relate to monitorable plasma torch device components and in particular to monitoring and predictive maintenance of one or more such monitorable plasma torch device components. One aspect provides a monitorable plasma torch device component, the component comprising: a component body and a sacrificial component located in an erosion zone of the component body. The sacrificial component comprises material which differs from the plasma torch device component body and which, on exposure to a plasma torch in a plasma torch device, generates electromagnetic radiation distinct from that of the plasma torch device component body. The distinct electromagnetic radiation generated is indicative of erosion of the monitorable plasma torch device component in the erosion zone. Such a monitorable plasma torch device component can facilitate effective component monitoring which allows for ameliorative action to be taken in the event that degradation of the device component is detected.

Abstract: A pharmacy container comprising a bottle and a closure. The bottle includes a body, a neck, stops on the neck defining a lug retention area. The body defines a storage chamber therein. The neck extends away from the body and defines an opening to the chamber of the body. The neck includes threads extending around an outside surface of the neck. The stops extend from a bottom of a first thread toward the body, the stops defining the lug retention area. The closure is secured over the opening and around the neck. The closure includes a lug configured to interface with the thread and engage with the lug retention area to retain the closure in place over the opening.

Abstract: The disclosure relates to a composition comprising adrenocorticotropic hormone (ACTH) or a synthetic ACTH analogue for use in a diagnostic test for adrenal insufficiency. A method to conduct said diagnostic test; a combined diagnostic and method of treatment; and kits comprising the components for said test are also disclosed.

Abstract: Embodiments of the present disclosure pertain to network based machine learning generated simulations. In one embodiment, the present disclosure includes a computer implemented method comprising sending first code comprising a programmable calculator from a server system to a client system across a network. A data request is sent to a database, the data request configured to retrieve data from the database comprising a plurality of fields and a target field. The retrieved data is processed using a machine learning algorithm to produce a weight for each field of the plurality of fields and a scoring data structure. The fields and the scoring data structure are sent to the client system across the network. A user selects values for the plurality of fields and the programmable calculator is configured based on the scoring data structure to generate a simulated value for the target field based on the user selected values.

Abstract: A system, method, and computer-readable medium to receive a request to render a visualization, the visualization to include a plurality of data point representations; determine an optimal number of data point representations to include on a first page of the visualization; render an active range of the plurality of data point representations on the first page of the visualization; apply at least one post-rendering optimization to the rendered first page; determine an estimation of an application of the at least one post-rendering optimization to a next page of the visualization; store the estimation of the application of at the least one post-rendering optimization to the next page of the visualization in a buffer memory; and display the rendered first page having the at least one post-rendering optimization applied thereto.

Abstract: A pharmacy container comprising a bottle and a closure is disclosed herein. The bottle includes a body, a neck, stops on the neck defining a lug retention area. The body defines a storage chamber therein. The neck extends away from the body and defines an opening to the chamber of the body. The neck includes threads extending around an outside surface of the neck. The stops extend from a bottom of a first thread toward the body, the stops defining the lug retention area. The closure is secured over the opening and around the neck. The closure includes a lug configured to interface with the thread and engage with the lug retention area to retain the closure in place over the opening. Other labels, bottles, associated combinations, and associated methods are also disclosed.

Abstract: A pharmacy container comprising a bottle and a closure is described herein. The bottle includes a body, a neck, stops on the neck defining a lug retention area. The body defines a storage chamber therein. The neck extends away from the body and defines an opening to the chamber of the body. The neck includes threads extending around an outside surface of the neck. The stops extend from a bottom of a first thread toward the body, the stops defining the lug retention area. The closure is secured over the opening and around the neck. The closure includes a lug configured to interface with the thread and engage with the lug retention area to retain the closure in place over the opening. Other labels, bottles, associated combinations, and associated methods are also described.

Abstract: Embodiments of the present disclosure pertain to network based machine learning generated simulations. In one embodiment, the present disclosure includes a computer implemented method comprising sending first code comprising a programmable calculator from a server system to a client system across a network. A data request is sent to a database, the data request configured to retrieve data from the database comprising a plurality of fields and a target field. The retrieved data is processed using a machine learning algorithm to produce a weight for each field of the plurality of fields and a scoring data structure. The fields and the scoring data structure are sent to the client system across the network. A user selects values for the plurality of fields and the programmable calculator is configured based on the scoring data structure to generate a simulated value for the target field based on the user selected values.

Abstract: Embodiments automatically create an axis break in a bar chart or waterfall chart to promote data visualization. For a bar chart with positive bars, a maximum axis break point is determined relative to a lowest datapoint (D1) in the selected bar(s). A minimum axis break point is found from a value (D2) outside selection which is between D1 and zero, and which is closest to D1. The inclusion of padding on either side of a break prevents the break from lying at zero or a bar end. A different procedure creates axis breaks in a waterfall chart. Certain embodiments store only bar selection metadata with a chart. The location of the axis break then is recalculated each time the chart is rendered (e.g., with updated data). Embodiments may retain axis break data for reference in various stages of a user interaction (e.g., filtering/expanding, drilling-down/up, etc.) with a rendered chart.

Abstract: A bottle that includes a body, a neck, stops on the neck defining a lug retention area. The body defines a storage chamber therein. The neck extends away from the body and defines an opening to the chamber of the body. The neck includes threads extending around an outside surface of the neck. The stops extend from a bottom of a first thread toward the body, the stops defining the lug retention area. The closure is secured over the opening and around the neck. The closure includes a lug configured to interface with the thread and engage with the lug retention area to retain the closure in place over the opening.

Abstract: A system, method, and computer-readable medium to receive a request to render a visualization, the visualization to include a plurality of data point representations; determine an optimal number of data point representations to include on a first page of the visualization; render an active range of the plurality of data point representations on the first page of the visualization; apply at least one post-rendering optimization to the rendered first page; determine an estimation of an application of the at least one post-rendering optimization to a next page of the visualization; store the estimation of the application of at the least one post-rendering optimization to the next page of the visualization in a buffer memory; and display the rendered first page having the at least one post-rendering optimization applied thereto.