Abstract: A method of removing a protective cover from an instrument includes inserting a distal end of the instrument on which the protective cover is positioned within an opening of a tool; engaging an edge of the protective cover with a movable member of the tool; and while the edge is engaged, using relative movement between the instrument and the tool to remove the protective cover from the instrument.

Abstract: A combination for improving plant growth and/or yield having 1-(2-methoxyethyl)-3-(1,2,3-thiadiazol-5yl)urea and at least one nitrogen assimilation enhancer, selected from the group consisting of phosphite, glutamine, glutamate, glycine, glycine betaine, 2-oxoglutarate, glutamic acid, aspartic acid, aspartate, proline, pyroglutamic acid, ?-aminobutyric acid, poly-?-(glutamic acid), poly(aspartic acid), poly(glutamic acid), diethyl aminoethyl hexanoate, N-acetyl thiazolidine 4-carboxylic acid, thiazolidine 4-carboxylic acid, microorganisms selected from the group including Azotobacter vinelandii, Azospirillum brasilense, Pseudomonas fluorescens, Bacillus polymyxa, Bacillus megaterium, Azorhizobium caulinodens, Azoarcus indigens, and Bacillus sp., phosphobacteria, Streptomyces spp. Formulations having such combination and methods of increasing plant growth, stress resistance, and yields are also described.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.

Abstract: Systems and methods for using risk profiles for fleet management of a fleet of vehicles are disclosed. Fleet management may include determining the performance levels of particular vehicle operators. The risk profiles characterize values representing likelihoods of occurrences of vehicle events. The values are based on vehicle event information for previously detected vehicle events. Exemplary implementations may: receive, from a particular vehicle, particular vehicle event information for particular vehicle events that have been detected by the particular vehicle; determine one or more metrics that quantify a performance level of the particular vehicle operator, based on the risk profiles; compare the one or more metrics for the particular vehicle operator with aggregated metrics that quantify performance levels of a set of vehicle operators; and store, transfer, and/or present results of the comparison.

Abstract: This disclosure relates to a system that generates data describing physical surroundings of vehicles during operation. Individual vehicles carry sensors configured to generate output signals conveying information related to one or both of the physical surroundings of the vehicles and/or the operation of the vehicles. Based on the generated output signals, the physical surroundings in which the first vehicle is operating are derived, such as, for example, the speeds of different nearby vehicles, and their distances to each other.

Abstract: Systems and methods for using risk profiles for fleet management of a fleet of vehicles are disclosed. Fleet management may include determining the performance levels of particular vehicle operators. The risk profiles characterize values representing likelihoods of occurrences of vehicle events. The values are based on vehicle event information for previously detected vehicle events. Exemplary implementations may: receive, from a particular vehicle, particular vehicle event information for particular vehicle events that have been detected by the particular vehicle; determine one or more metrics that quantify a performance level of the particular vehicle operator, based on the risk profiles; compare the one or more metrics for the particular vehicle operator with aggregated metrics that quantify performance levels of a set of vehicle operators; and store, transfer, and/or present results of the comparison.

Abstract: Systems and methods for using risk profiles for creating and deploying new vehicle event definitions to a fleet of vehicles are disclosed. Exemplary implementations may: obtain a first risk profile, a second risk profile, and vehicle event characterization information; select individual ones of the previously detected vehicle events that have one or more characteristics in common; determine circumstances for at least a predefined period prior to occurrences of the selected vehicle events; create a new vehicle event definition based on the determined set of circumstances; distribute the new vehicle event definition to individual vehicles in the fleet of vehicles; and receive additional vehicle event information from the individual vehicles in the fleet of vehicles.

Abstract: According to an exemplary aspect, a tool for installing and/or removing a protective cover of an instrument includes a body portion having an open end and a closed end. The open end defines an interior passage that extends into the body portion along a longitudinal axis of the body portion toward the closed end of the body portion. The interior passage is configured to receive at least a portion of the protective cover in the interior passage. One or more members are connected to the body portion, and each of the one or more members includes a free end movable relative to the body portion. Systems and methods relate to tools for installing and/or removing protective covers of instruments.

Abstract: Systems and methods to implement a model operation application are provided. The method includes defining a plurality of artifacts of a model operation application, where each artifact has an abstract interface, and each artifact is invoked by a corresponding reference. The method also includes organizing references of data inputs and data sinks of the model operation application into a data channel, where the data channel includes one or more data channel artifacts of the plurality of artifacts. The method further includes combining a plurality of processing steps by reference into a scoring flow, wherein the scoring flow is configured to be managed as one or more scoring flow artifacts of the plurality of artifacts. The method further includes attaching the data channel to the scoring flow to form a scoring pipeline, wherein the scoring pipeline comprises one or more scoring pipeline artifacts of the plurality of artifacts.

Abstract: Systems and methods for quantifying a user capability in accordance with an organizational role are disclosed herein. In an aspect, a role capability assessment is deployed to a user comprising at least one question whereby the user selects at least one answer that corresponds to the at least one question and the at least one answer conveys information to determine the capability of the user to perform an organizational role. In another aspect, a set of answer data associated with the at least one answer is received whereby the set of answer data correlates to the capability of the user to perform a role within an organization.

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: Systems and methods to screen a predictive model for risks of the predictive model are provided. The method includes obtaining a predictive model and metadata of the predictive model. The method also includes determining, based on a set of criteria for screening the predictive model, a risk of one or more negative consequences associated with the predictive model. The method further includes providing an analysis of the risk of one or more negative consequences.

Abstract: An extruder of a three-dimensional printer may be coupled with one or more filament tubes, each filament tube having its own supply of filament. The extruder may include a drive gear rotatable in a first direction to advance a filament from a filament tube toward at least one extrusion opening defined by the extruder and rotatable in a second direction, opposite the first direction, to advance another filament from a different filament tube toward the at least one extrusion opening defined by the extruder. Also, as one filament is advanced by the drive gear, another filament may be retracted by the drive gear to improve the switching of filaments in a three-dimensional printing process. The extruder may work in conjunction with a filament supply-side drive system that feeds filament into one or more filament tubes, reducing a pull force exerted by the drive gear of the extruder.

Abstract: Systems and methods for quantifying a user capability in accordance with an organizational role are disclosed herein. In an aspect, a role capability assessment is deployed to a user comprising at least one question whereby the user selects at least one answer that corresponds to the at least one question and the at least one answer conveys information to determine the capability of the user to perform an organizational role. In another aspect, a set of answer data associated with the at least one answer is received whereby the set of answer data correlates to the capability of the user to perform a role within an organization.

Abstract: The present invention is a system for producing ideal experience metrics and associated evaluation platform to objectively compare competing products (or services) or prototypes using a unique scoring algorithm. Consumer feedback data is provided to the system of the present invention to determine an objective score for each criterion. The system may also determine an overall score for the product or service being evaluated. Using the present invention, a provider of a product or service may objectively compare a feature or attribute of the product or service to competing products or services through the use of rated Benefits, Features, and Attributes.

Abstract: Novel tools and techniques are provided for implementing an imaging discovery utility for augmenting clinical image management. In some embodiments, in response to receiving a request for a first medical image file(s) from a requesting device, a non-relational (“NoSQL”) data management system (“DMS”) may access a NoSQL database containing, inter alia, a plurality of medical image files that are mirrored copies of a plurality of medical image files stored in a relational (“SQL”) database, the medical image files each being organized in an image-centric hierarchy with image data being at a top level and patient information associated with the image data being at a lower level. Based on a successful search of the NoSQL database based on search terms in the request, the NoSQL DMS may identify a corresponding second medical image(s) in the SQL database, and may retrieve and send (to the requesting device) the identified second medical image(s).

Abstract: An algorithmic real-time learning engine comprising an algorithmic model generator configured to process a set of system variables from a big data source using at least one of a pattern recognition algorithm and a statistical test algorithm to identify patterns, relationships between variables, and important variables; and generate at least one of: a predictive model based on the identified patterns, relationships between variables, and important variables; statistical test model about correlations, differences between variables, or patterns in time across variables; and recurring clusters model of similar observations across variables. A data preprocessor can select system variables of interest, align the selected system variables based on time, and arrange the aligned variables into rows. The selected system variables can also be aggregated based on a pre-defined aggregate.