Abstract: Techniques are provided for adaptively presenting business measures within an organization. Employee roles are categorized within a learned organizational hierarchy, and workflows are analyzed to identify associations with the role categories. Usage of business measures is evaluated to determine their relevance to portions of the hierarchy. Based on these learned associations and relevance, domains of measures are generated and reconfigured in response to feedback from observed user interactions. Visualization modules are assigned to the measures by mapping them to display groups and unique page identifiers within a modular display framework. Domain-specific dashboards are then rendered on an electronic display to deliver tailored and dynamically updated presentations of business measures aligned with organizational context.

Abstract: Detecting a source hospital operation activity as a root cause of an outlier of a hospital measure includes determining a contributor to a detected outlier and a dimension impact rating for a dimension under which the outlier is organized and generating and delivering a user-specific hospital operations measure dashboard based on an indication of the source hospital operation activity of the contributor.

Abstract: A metrology three-dimensional (3D) scanning system includes a metrology 3D scanning application (app) comprising computing instructions that, when executed by one or more processors, causing the one or more processors to: record preliminary object data as a device is operated; generate a preliminary scan path based on the preliminary object data for operating a robotic element within an operating environment; move the robotic element along at least a portion of the preliminary scan path and record preliminary scan data comprising at least a subset of dimension data defining at least a target object; generate a metrology scanning path plan and a motion plan for the robotic element based on the preliminary scan data; and execute instructions to move the robotic element within the operating environment according to the metrology scanning path plan and the motion plan for scanning the target object.

Abstract: Configuring and automatically populating a columnar, multi-domain business intelligence data structure can support the continuation of a business workflow. Configuring includes ingesting data from a plurality of disparate sources, formatting it according to a standardized schema, and aligning it with workflow-derived data dimensions. This process includes parsing the source data, harmonizing data formats, normalizing strings based on locale-specific language or industry-specific terminology, identifying relevant dimensions, mapping each dimension to a respective column, and populating the data structure accordingly. The resulting alignment ensures that data is organized by dimension in a highly efficient and automated manner to facilitate multi-domain business intelligence operations.

Abstract: Techniques for detecting file similarity based on the characteristics and semantics of files are disclosed. A machine learning (ML) model may be trained to recognize and group files based on a hierarchy of file characteristics. The trained ML model may be used to process a set of files to generate a feature vector database comprising a set of feature vectors that are grouped based on the hierarchy of characteristics. In response to receiving a query file to be compared to the set of files, the ML model may be used to process the query file to generate a query feature vector. The query feature vector may be used to search the feature vector database to identify feature vectors that are similar to the query feature vector. A file corresponding to each feature vector that is similar to the query feature vector may be retrieved and presented to a user.

Abstract: Detecting a source hospital operation activity as a root cause of an outlier of a hospital measure includes determining a contributor to a detected outlier and a dimension impact rating for a dimension under which the outlier is organized and generating and delivering a user-specific hospital operations measure dashboard based on an indication of the source hospital operation activity of the contributor.

Abstract: A metrology three-dimensional (3D) scanning system includes a metrology 3D scanning application (app) comprising computing instructions that, when executed by one or more processors, causing the one or more processors to: record human-robot interaction (HRI) data as a human operator operates the HRI device; generate a preliminary scan path based on the HRI data for operating a robotic element within an operating environment; move the robotic element along at least a portion of the preliminary scan path and record preliminary scan data comprising at least a subset of dimension data defining at least a target object; generate a metrology scanning path plan and a motion plan for the robotic element based on the preliminary scan data; and execute instructions to move the robotic element within the operating environment according to the metrology scanning path plan and the motion plan for scanning the target object.

Abstract: Generating sets of data from the columnar array for configuring guided navigation pages that include actionable elements that correspond to one or more dimension of the set of dimensions.

Abstract: Predicting a change in a business workflow performance measure includes a measure factory rule produced outlier detecting step, a difference-over-time outlier contributing data element determining step, a different business workflow performance measure identifying step for the contributing data element, an outlier prediction step for the different business workflow performance measure as derived from the contributing data element, and a step for alerting a user when the predicted outlier falls outside a pattern for business workflow performance measures.

Abstract: Detecting a source of a change in a business performance measure includes a first measure outlier event detection step, an outlier event contributor determining step, an outlier event source data entry identification step based on an execution dependency graph, and a step of alerting a user of a business activity represented by data entries in the outlier event source data.

Abstract: Generating sets of data from the columnar array for configuring guided navigation pages that include actionable elements that correspond to one or more dimension of the set of dimensions.

Abstract: The present invention relates to a lateral flow test device capable of detecting the presence or absence of unfolded p53 in a liquid sample, such as a blood sample. Also provided are methods of using such a device for quantitative or qualitative measurement of U-p53 in a liquid sample. Detection of the presence of this analyte in the sample identifies if the subject has a risk to develop Alzheimer's Disease, and also is useful to confirm a diagnosis of Alzheimer's disease.

Abstract: Predicting a change in a business workflow performance measure includes a measure factory rule produced outlier detecting step, a difference-over-time outlier contributing data element determining step, a different business workflow performance measure identifying step for the contributing data element, an outlier prediction step for the different business workflow performance measure as derived from the contributing data element, and a step for alerting a user when the predicted outlier falls outside a pattern for business workflow performance measures.

Abstract: Generating sets of data from the columnar array for configuring guided navigation pages that include actionable elements that correspond to one or more dimension of the set of dimensions.

Abstract: Detecting a source of a change in a business performance measure includes a first measure outlier event detection step, an outlier event contributor determining step, an outlier event source data entry identification step based on an execution dependency graph, and a step of alerting a user of a business activity represented by data entries in the outlier event source data.

Abstract: A method for inverse modeling of a part includes: importing a first electronic file comprising a three-dimensional reference design of a part; manufacturing the part based on the first electronic file; collecting metrology data for the part and creating a second electronic file comprising the collected metrology data; comparing the first electronic file and the second electronic file and determining a deviation based on the comparison; determining whether the deviation is acceptable; and in the event the deviation is determined not to be acceptable, revising the three-dimensional reference design of the part or modifying a manufacturing process for the part.

Abstract: Generating sets of data from the columnar array for configuring guided navigation pages that include actionable elements that correspond to one or more dimension of the set of dimensions.

Abstract: Detecting a source business activity of an outlier of a business performance measure that falls outside of a statistical analysis-computed outlier boundary includes identifying the source business activity based on an impact rating indicating a likelihood that a business activity contributes a value to the computation of the outlier for a given dimension of business performance data representative of business activities.