Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. A computer system receives information defining a relief pattern for forming the 3D relief using a digital inkjet printer. From the information, a feature vector is extracted comprising one or more features describing the 3D relief. A machine learning model is used to generate control commands based on the feature vector. The machine learning model is trained to generate the control commands to configure the digital inkjet printer to apply binder ink to a first region of a surface of the substrate. The applied binder ink is configured to form a protective layer over the first region of the surface of the substrate. The digital inkjet printer is configured to apply solvent ink to the surface of the substrate.

Abstract: A lifting rigging is provided including a yoke adapted for connection between a load and a suspension point; and a weight-bearing assembly mounted on the yoke, which weight-bearing assembly includes a spring module including a number of constant torque springs, and a yoke wire with a first end adapted for connection to the suspension point and a second end connected to the spring module and adapted to wind the constant torque springs when the yoke wire is subject to a pulling force, and wherein the weight-bearing assembly is configured such that the yoke wire bears the weight of the yoke when the lifting rigging is suspended from the suspension point.

Abstract: A damping device configured to be mountable on an upper opening of a tower and configured to provide vibration damping during vertical storage and/or vertical transport of the tower is provided. The damping device includes a liquid damper comprising a single liquid tank, a mounting interface configured to mount the liquid damper on the upper opening of the tower. The mounting interface includes one or more load transfer elements configured to transfer vibrations between the tower and the liquid damper. The liquid damper is configured to provide the vibration damping at predetermined frequencies tunable by one or more damping parameters of the liquid damper. The one or more damping parameters are configured such that the liquid damper damps vibrations at least at a first frequency and at a second frequency, the second frequency being different from the first frequency.

Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.

Abstract: Provided is a method for detecting an Artificial Intelligence (AI) agent of an application in a network. In this method, the varieties of a plurality of outputs of the application may be determined, where the outputs are respectively corresponding to a plurality of identical inputs provided to the application. Furthermore, the method may detect, based on the varieties of the plurality of outputs, the AI agent of the application, wherein the AI agent comprises an AI model providing AI-based resource information to the application to generate the plurality of outputs.

Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. A computer system receives information defining a relief pattern for forming the 3D relief using a digital inkjet printer. From the information, a feature vector is extracted comprising one or more features describing the 3D relief. A machine learning model is used to generate control commands based on the feature vector. The machine learning model is trained to generate the control commands to configure the digital inkjet printer to apply binder ink to a first region of a surface of the substrate. The applied binder ink is configured to form a protective layer over the first region of the surface of the substrate. The digital inkjet printer is configured to apply solvent ink to the surface of the substrate.

Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.

Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. In an example embodiment, the introduced technique includes application of binder ink to a portion of the surface of a substrate using a digital inkjet process. This binder ink forms a barrier layer which protects the portion of the surface of the substrate. Next, a brushing process is applied to remove unprotected portions of the substrate, thereby forming the 3D relief in the substrate.

Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.

Abstract: A hinged closure is disclosed for a container. The hinged closure comprises a first closure and a second closure. An internal closure hinge pivotably couples the first closure with the second closure. An exterior closure hinge pivotably couples the second closure with the container. A first locking member is couple to the interior edge of the first closure. A second locking member is coupled to the second closure. The first locking member engages with the second locking member for preventing pivoting of the first closure relative to the second closure and covering the container chamber and prevents access into the container chamber of the container. The first locking member disengaging with the second locking member for permitting pivoting of the first closure relative to the second closure and permitting access into the container chamber of the container and defines a reduced closure height relative to the container.

Abstract: A computer-implemented electronic commons system for sharing information. The system including an electronic content management computer executing a stored program to implement the steps of (a) receiving electronic information content from users, the electronic information including identification of at least one author, (b) receiving instructions from users to organize multiple electronic information content into a handbook, (c) generating a handbook including the multiple electronic information content stored on a computer readable medium of the electronic content management computer based on the received instructions, (d) generating an attribution for the handbook, the attribution including the identifications of the authors of the constituent electronic information content in the handbook; and (e) displaying a representation of the attribution of the handbook.

Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.

Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. In an example embodiment, the introduced technique includes application of binder ink to a portion of the surface of a substrate using a digital inkjet process. This binder ink forms a barrier layer which protects the portion of the surface of the substrate. Next, a brushing process is applied to remove unprotected portions of the substrate, thereby forming the 3D relief in the substrate.

Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. In an example embodiment, the introduced technique includes application of binder ink to a portion of the surface of a substrate using a digital inkjet process. This binder ink forms a barrier layer which protects the portion of the surface of the substrate. Next, a brushing process is applied to remove unprotected portions of the substrate, thereby forming the 3D relief in the substrate.

Abstract: A technique is described for the application of three-dimensional (3D) relief to a substrate such as a ceramic tile using digital inkjet technology. In an example embodiment, the introduced technique includes application of binder ink to a portion of the surface of a substrate using a digital inkjet process. This binder ink forms a barrier layer which protects the portion of the surface of the substrate. Next, a brushing process is applied to remove unprotected portions of the substrate, thereby forming the 3D relief in the substrate.

Abstract: A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.

Abstract: A method of detecting defects using eddy currents is disclosed. The method comprises: exciting eddy currents in a test material using an eddy current probe driven by a drive signal; detecting induced eddy currents in the test material; converting the detected signal into integer values using an analog to digital converter; and adding or subtracting the generated integer values to or from each of two accumulators, or taking no action, so that one accumulator produces a value proportional to one component of the detected signal and the other produces a value proportional to another component of the detected signal and using these values to detect the presence of a defect.

Abstract: A request to retrieve data from a client device is intercepted by a video detector. The video detector determines if the request is for retrieving a video file. If the request is for a video file, and the video file is deemed to be transcoded to be displayed on the client device, the video detector forwards the request to a video optimizer along with encoding parameters. Encoding parameters are selected by the video detector based on properties of the client device, networks accessible by the client device, conditions of those networks, properties of the requested video and the type of video requested. The encoding parameters also include a file format type to which the requested video is to be transcoded.