Abstract: This disclosure relates to a method and a system for processing grapes. An example system includes a simulated moving bed (SMB) device configured to receive a feed stream and an eluent stream as inputs and provide an extract stream and a raffinate stream as outputs. The feed stream includes a grape juice, the extract stream includes a high-sugar grape juice, and the raffinate stream includes a low-sugar grape juice. The system also includes fermentation equipment configured to produce a low-alcohol wine from the low-sugar grape juice.

Abstract: Disclosed are systems and methods for identifying prostate cancer patients at high-risk of progression among clinically intermediate risk group. Images of patient cells are obtained and tiled into subsets of smaller images. Using a trained machine learning model, a morphology quantification process is performed on the subsets of smaller images. Portions of the images are input into the trained machine learning models. The trained machine learning model determines the occurrence of likely cancer cells and classifies the cancer cells with a grading. The system then uses this out of the machine learning model to identify whether the cells in the subsets of smaller images indicate whether a prostate cancer patient is at a risk of progression among a clinically intermediate risk group.

Abstract: Systems and methods for automatically processing prescription refills and transfers are disclosed. According to certain aspects, a server associated with a pharmacy may receive, from an electronic device, a message including a digital image depicting a container of a prescription. The server may analyze the digital image to identify a set of visual identifiers depicted in the digital image. Based on the set of visual identifiers, the server may determine whether the prescription is associated with the pharmacy and, based on the determination, may facilitate either a refill of the prescription or a transfer of the prescription to the pharmacy.

Abstract: Methods and systems are disclosed herein for using machine learning models to predict proper resource levels and performance levels of those resources. One mechanism for predicting proper resource levels and performance levels of those resources may involve a use of a machine learning model that is enabled to receive user data as input and output a predication for one or more actions for each user. The users may be clustered based on the user action predicted by the machine learning model and one or more action sequences may be executed against each action cluster.

Abstract: This disclosure relates to a method and a system for processing grapes. An example system includes a simulated moving bed (SMB) device configured to receive a feed stream and an eluent stream as inputs and provide an extract stream and a raffinate stream as outputs. The feed stream includes a grape juice, the extract stream includes a high-sugar grape juice, and the raffinate stream includes a low-sugar grape juice. The system also includes fermentation equipment configured to produce a low-alcohol wine from the low-sugar grape juice.

Abstract: A pre-saturated disposable disinfecting wipe may include a microfiber cloth. The microfiber cloth may include a low weight substrate having a first face and an opposed second face, and microfiber yarn attached to the low weight substrate in a plurality of parallel rows of stitches. The pre-saturated disposable disinfecting wipe further includes a disinfecting formulation saturated in the microfiber cloth. The pre-saturated disposable disinfecting wipe may have a single-touch two-minute wetness coverage of more than 100 in2. A method of manufacturing a pre-saturated disposable disinfecting wipe may include saturating, with a disinfecting formulation, a microfiber cloth.

Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: Provided are techniques for generating 3-dimensional (3D) models and connections to provide vulnerability context. For a first vulnerability of a first asset, first vulnerability data comprising first vulnerability attributes is retrieved. A second vulnerability of a second asset is identified based on the second vulnerability having second vulnerability data comprising second vulnerability attributes that include one or more common vulnerability attributes with the first vulnerability attributes. Anchor points for the first vulnerability and the second vulnerability are created based on the one or more common vulnerability attributes. A first 3-dimensional (3D) model is generated for the first vulnerability that incorporates the first vulnerability attributes, and a second 3D model is generated for the second vulnerability that incorporates the second vulnerability attributes. The first 3D model and the second 3D model are displayed with one or more connections based on the anchor points.

Abstract: A system for producing digitally imaged goods comprises a central computing device for storing and encrypting digital images that communicates with a plurality of geographically separated computing systems, with each of the geographically separated computing systems controlling one or more image forming devices that form digital images on a product substrate to produce the goods. Enhanced security protocols, including blockchain-based ledgers and hardware security modules, ensure the protection and integrity of digital assets throughout the production process. Image forming devices (imaging devices) that are useful for forming digital images on a product substrate are selected from inkjet and laser printers, engravers, cutters and other imaging devices that respond to digital inputs.

Abstract: A computing device is provided. The computing device may include a first camera configured to capture a primary image sequence of a scene, and a second camera configured to substantially concurrently capture a secondary image sequence of the scene. The computing device may include a processor configured to execute instructions stored in memory to obtain a depth map for an image of the primary image sequence, and based on the depth map, generate a reference frame of background pixels from the primary image sequence. The processor may be configured to execute the instructions to detect an intrusive object in the secondary image sequence, replace the intrusive object in the primary image sequence with corresponding background pixels of the reference frame to generate a modified primary image sequence, and output on a display at least one image of the modified primary image sequence.

Abstract: Techniques for capacity management in computing systems are disclosed herein. In one embodiment, a method includes analyzing data representing a number of enabled users or a number of provisioned users to determine whether the analyzed data represents an anomaly based on historical data. The method can also include upon determining that the data represents an anomaly, determining a conversion rate between a change in the number of enabled users or the number of provisioned users and a change in a number of active users of the computing service and deriving a future value of the number of active users of the computing service based on both the detected anomaly and the determined conversion rate. The method can further include allocating and provisioning an amount of the computing resource in the distributed computing system in accordance with the determined future value of the active users of the computing resource.

Abstract: Embodiments of a method for measurement of electromagnetic field strength at a point of interest in a coverage area of a 2-dimensional (2D) active antenna system (AAS). The 2D AAS transmits with a load factor of 100 percent. The 2D AAS sweeps a predefined range of azimuth and elevation angles, and azimuth and elevation directions which yield highest EMF at the point of interest are determined. First beamforming weights are determined based on the azimuth and elevation directions and the 2D AAS caused to apply the first beamforming weights. The 2D AAS sweeps a co-phasing angle from 0 to 360 degrees, and a co-phasing angle which yields highest EMF is determined. Second beamforming weights are determined based on azimuth and elevation directions and the co-phasing angle, and the 2D AAS caused to apply the second beamforming weights. The EMF strength at the point of interest is measured.

Abstract: A zirconia body includes a sintered yttria-stabilized zirconia ceramic material, stabilized by 3 mol % to 4.8 mol % yttria, wherein the sintered ceramic material has an opacity of 52% to 65% (when measured on a 1 mm thick fully sintered ceramic body), an average grain size of less than 175 nm, a fracture toughness greater than 2.5 MPa·m1/2, and a millability number<75.

Abstract: Systems and methods for automatically processing prescription refills and transfers are disclosed. According to certain aspects, a server associated with a pharmacy may receive, from an electronic device, a message including a digital image depicting a container of a prescription. The server may analyze the digital image to identify a set of visual identifiers depicted in the digital image. Based on the set of visual identifiers, the server may determine whether the prescription is associated with the pharmacy and, based on the determination, may facilitate either a refill of the prescription or a transfer of the prescription to the pharmacy.

Abstract: A method for generating one or more emoticons for one or more users with respect to one or more fictional characters is provided.

Abstract: According to an embodiment, a method to quantify domain-centric risk is disclosed. The method comprises: receiving at least one first input associated with a loss event frequency from at least one first external source in a Risk assessment engine; receiving at least one second input associated with a Loss Magnitude from at least one second external source in the Risk assessment engine; receiving at least one third input associated with a plurality of domain-centric entities from at least one third external source in the Risk assessment engine; analyzing the loss event frequency, the loss magnitude, and the at least one third input to quantify the risk associated with a target domain-centric entity; and generating a risk assessment report for the target domain-centric entity based on the analysis of the loss event frequency, the loss magnitude, and the at least one third input.

Abstract: Using a system risk evaluation model, system data is evaluated, the evaluating identifying a system risk, the system risk comprising a risk associated with a system of an organization being audited, the system risk evaluation model computing a system risk score using a first plurality of weights assigned to data attributes of the system data. Using a role risk evaluation model, role data is evaluated, the evaluating identifying a role risk, the role risk comprising a risk associated with a role in the organization being audited, the role risk evaluation model comprising computing a role risk score using a second plurality of weights assigned to data attributes of the role data. Using an audit repository, an audit customized to the system risk and the role risk is generated. Using a result of the audit, a configuration of the system is caused to be adjusted.

Abstract: In some examples, user journey carbon footprint reduction may include generating, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction. A predicted journey carbon emissions may be generated for the vehicle for a specified journey. Based on collaborative filtering, at least one goal-based and conditions-based recommendation may be generated for the user of the vehicle for the specified journey for the user journey carbon footprint reduction. Based on a user behavior model, a user-interface display may be generated for the specified journey for the user journey carbon footprint reduction. Further, based on the user behavior model, and real-time monitoring of the user and the vehicle, a real-time update of the user-interface display may be generated for the specified journey for the user journey carbon footprint reduction.

Abstract: A method for generating one or more emoticons for one or more users with respect to one or more fictional characters is provided.

Abstract: Described herein are methods and computer systems for classification of CD8 T-cell topology using a patient response-based linear cutoff model. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. Real inflammation scores and tumor infiltration scores are determined based on a polar coordinate transformation of the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the real inflammation scores and tumor infiltration scores, a feature space is generated, and linear boundaries or linear cutoffs between a plurality of classifications in the feature space are identified based on the real inflammation scores, the tumor infiltration scores, and patient response data.