Abstract: The present disclosure relates to medicament injection devices. An injection device includes: a movable dosage programming component comprising a rotary encoder system having a predefined angular periodicity, a sensor arrangement including a first optical sensor configured to detect movement of the movable dosage programming component relative to the sensor arrangement during dosing of a medicament, wherein the first optical sensor is configured to operate in a strobe-sampling mode at a first frequency, a second optical sensor configured to detect movement of the rotary encoder system relative to the second optical sensor wherein the second optical sensor is configured to operate in a strobe-sampling mode at a second frequency lower than the first frequency, and a processor arrangement configured to, based on the detected movement, determine a medicament dosage administered by the injection device.

Abstract: A shingle coating asphalt composition is provided that is produced from a paving grade asphalt. The asphalt composition comprises a paving-grade asphalt that has been modified with one or more polymer additives; and a secondary additive comprising one or more of a viscosity reducing agent, a wax, a salt of a fatty acid ester, and an amide of a fatty acid. The shingle coating asphalt coating composition is used to make a shingle. The shingle includes a substrate, the asphalt, and roofing granules.

Abstract: A system for determining biological entities of interest is described. The system comprises a user input module configured to receive a search term comprising a representation of a biological entity; a search module configured to determine which biological entities of a set have a known association with the biological entity of the search term, those having a known association being results and those not having a known association being non-results, wherein biological entities of the set are related to each other by parent-child relationships in a relationship tree; and an analysis module configured to determine biological entities of interest by identifying non-results that have one or more results within a boundary in the relationship tree.

Abstract: Embodiments of present disclosure provide a system, apparatus and method(s) for generating a set of metrics for evaluating entities used with a predictive machine learning model, the method comprising: selecting one or more sets of entities from a data sources for generating a plurality of predictions aggregated from said one or more sets of entities using one or more pre-trained predictive models; selecting a subset of predictions from the plurality of predictions based on said one or more sets of entities in relation to the data source; extracting metadata from the data source associated with the subset of predictions, where the metadata comprises entity metadata and predicted metadata; generating the set of metrics based on the metadata extracted and the subset of predictions; and outputting the set of metrics for evaluation.

Abstract: A computer-implemented method of querying a graph to assess relationships amongst graph nodes comprises determining a query node on the graph, identifying one or more target nodes on the graph in relation to the query node based on a set of connectivity patterns; generating graph-based statistics for each target node of the one or more target nodes, wherein the graph-based statistics are extracted for subgraphs associated with each target node and the query node; and assessing the graph-based statistics of each target node to determine predicted relationships between the one or more target nodes and the query node.

Abstract: A system for discovering biological knowledge patterns of interest is described.

Abstract: A system for determining biological entities of interest is described. The system comprises a user input module configured to receive a search term comprising a representation of a biological entity; a search module configured to determine which biological entities of a set have a known association with the biological entity of the search term, those having a known association being results and those not having a known association being non-results, wherein biological entities of the set are related to each other by parent-child relationships in a relationship tree; and an analysis module configured to determine biological entities of interest by identifying non-results that have one or more results within a boundary in the relationship tree.

Abstract: A system is disclosed for searching a set of biological entities. The system comprises: a user input module configured to receive a user input comprising a representation of a biological entity; a search module configured to determine which entities of a set of biological entities are associated with the user input; a visualisation module configured to render a visualisation of multiple biological entities of the set and of parent-child relationships between them; and an overlay module configured to render an association indicator visually indicating one or more biological entities of the visualisation that are associated with the user input.