Abstract: Methods and apparatus to compensate impression data for misattribution and non-coverage are disclosed.

Abstract: Decapping system and methods of performing a decapping process for screw cap test tubes. In an embodiment, a method comprises loading a test tube rack in a rack holder that holds the test tube rack stationary, where the test tube rack holds the screw cap test tubes aligned in a row. The method further comprises clamping the row of the screw cap test tubes between a pair of jaw members of a row clamp, where clamp surfaces of the jaw members apply a force to opposing sides of the row of the screw cap test tubes. The method further comprises successively contacting screw caps of the screw cap test tubes in the row with a rotating bit of a decapper tool to spin the screw caps in a loosening direction.

Abstract: A disclosed computer-implemented method may include providing, by a processor, an artificial intelligence model (“predictive model”) pre-configured to infer, via a plurality of features included in the predictive model trained using data representative of computing resource requirements of current tenants of a multitenant computing platform, computing resource requirements for potential tenants of the multitenant computing platform. The method may also include receiving, by the processor, at least one query comprising data that describes an attribute of a potential tenant of the multitenant computing platform, and determining, by the processor, based on an inference of the predictive model generated based on the at least one query, an output comprising an estimated computing resource requirement of the potential tenant. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A disclosed computer-implemented method may include providing, by a processor, an artificial intelligence model (“predictive model”) pre-configured to infer, via a plurality of features included in the predictive model trained using data representative of computing resource requirements of current tenants of a multitenant computing platform, computing resource requirements for potential tenants of the multitenant computing platform. The method may also include receiving, by the processor, at least one query comprising data that describes an attribute of a potential tenant of the multitenant computing platform, and determining, by the processor, based on an inference of the predictive model generated based on the at least one query, an output comprising an estimated computing resource requirement of the potential tenant. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A document management system trains a machine-learned model using a first training set of tagged documents to, when applied to a document, tag one or more portions of the document. The document management system applies the machine-learned model to a target document. One or more portions of the target document incorrectly tagged by the machine-learned model are identified. A feature vector representative of the target document is generated. Each entry of the feature vector is representative of a characteristic of the target document without including private information from the target document. The document management system queries a corpus of documents using the feature vector to identify a set of documents that correspond to the feature vector. A second training set of tagged documents is generated using the identified set of documents. The document management system retrains the machine-learned model using the second training set of tagged documents.

Abstract: Document source detection uses unique copies to identify sources of leaked documents. The unique copies are generated from an original document and include a unique watermarking of one or more perturbations to a feature of the original document. An artifact, such as a photo or copy, is derived from one of the unique copies, the unique copy from which it was derived is identified. To identify the unique copy, unique copy keypoints in the unique copies are matched to artifact keypoints in the artifact to align the artifact with a location within the unique documents. Pixel regions in the unique copies that include perturbations are used to identify corresponding pixel regions in the artifact. Pixels in these regions are compared to identify the unique copy from which the artifact was derived, thus identifying a possible source of the leaked document.

Abstract: A disclosed computer-implemented method may include providing, by a processor, an artificial intelligence model (“predictive model”) pre-configured to infer, via a plurality of features included in the predictive model trained using data representative of computing resource requirements of current tenants of a multitenant computing platform, computing resource requirements for potential tenants of the multitenant computing platform. The method may also include receiving, by the processor, at least one query comprising data that describes an attribute of a potential tenant of the multitenant computing platform, and determining, by the processor, based on an inference of the predictive model generated based on the at least one query, an output comprising an estimated computing resource requirement of the potential tenant. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method of isolating ultrashort single-stranded cell-free DNA (uscfDNA) is described as well as methods of using the uscfDNA for detecting biomarkers and diagnosing diseases and disorders.

Abstract: In accordance with an embodiment, described herein is a system and method for providing query acceleration with a computing environment such as, for example, a business intelligence environment, database, data warehouse, or other type of environment that supports data analytics. A middle layer is provided as a long-term table data storage format; and one more acceleration formats, or acceleration tables, can be periodically regenerated from the middle layer, wherein a determination can be made as to whether an accelerated table exists for a dataset table, and if so, then the accelerated table is used to process the query.

Abstract: A disclosed computer-implemented method may include providing, by a processor, an artificial intelligence model (“predictive model”) pre-configured to infer, via a plurality of features included in the predictive model trained using data representative of computing resource requirements of current tenants of a multitenant computing platform, computing resource requirements for potential tenants of the multitenant computing platform. The method may also include receiving, by the processor, at least one query comprising data that describes an attribute of a potential tenant of the multitenant computing platform, and determining, by the processor, based on an inference of the predictive model generated based on the at least one query, an output comprising an estimated computing resource requirement of the potential tenant. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A document management system trains a machine-learned model using a first training set of tagged documents to, when applied to a document, tag one or more portions of the document. The document management system applies the machine-learned model to a target document. One or more portions of the target document incorrectly tagged by the machine-learned model are identified. A feature vector representative of the target document is generated. Each entry of the feature vector is representative of a characteristic of the target document without including private information from the target document. The document management system queries a corpus of documents using the feature vector to identify a set of documents that correspond to the feature vector. A second training set of tagged documents is generated using the identified set of documents. The document management system retrains the machine-learned model using the second training set of tagged documents.

Abstract: The present disclosure relates to a computer-implemented method of determining if a fundus image requires referral for investigation for a disease. The method comprises: performing a pairwise comparison of the fundus image against each example fundus image in a reference image set using one or more machine learning algorithms to determine a difference in severity of the fundus image compared to each example fundus image in the reference image set; and flagging the fundus image as requiring referral for investigation for the disease based on results of the pairwise comparisons, wherein the reference image set includes a plurality of example fundus images, the plurality of example fundus images ranked according to their degree of severity of disease.

Abstract: According to the subject-matter of the present disclosure, there is provided a computer-implemented method of determining if a medical data sample requires referral for investigation for a disease.

Abstract: Information security is enhanced through watermarks that are unique for each recipient. Unique watermarking helps deter malicious information leaks because of the likelihood that the leaked information can be traced back to the source. To watermark images in a unique way for each recipient, candidate control points are determined for locations of image features within an image. The candidate control points that correspond to copy-resilient image features are identified. For generating each unique copy, a set of control points is selected from the candidate control points for the copy-resilient image features. An image is warped based on the selected set of control points. Since each set of control points is different, each warped image is distinct. The sets of control points can be saved and later used to recreate unique copies that are compared to recovered artifacts for source identification.

Abstract: A monitor mounting system which includes a crossbar having at least one monitor mounting bracket positioned thereon. A support arm is configured to adjust the vertical height of the crossbar and a pivot assembly is positioned between the support arm and the crossbar, with the pivot assembly configured to allow limited pivot adjustment of the crossbar in order to level the crossbar to the horizontal position.

Abstract: In accordance with an embodiment, described herein is a system and method for providing query acceleration with a computing environment such as, for example, a business intelligence environment, database, data warehouse, or other type of environment that supports data analytics. A middle layer is provided as a long-term table data storage format; and one more acceleration formats, or acceleration tables, can be periodically regenerated from the middle layer, wherein a determination can be made as to whether an accelerated table exists for a dataset table, and if so, then the accelerated table is used to process the query.

Abstract: In-situ void detection using deposition maps in ECAM processes is described. A deposition cycle forms a layer, which is mapped by applying a mapping voltage to each pixelated electrode (e.g., previously used to form the layer) while monitoring the current through each electrode. This mapping current depends on the positional relationship between the electrode and the deposited layer and is added to a deposited layer dataset together with mapping currents through other electrodes. A deposition map is then updated with this deposited layer dataset. The deposition map may reflect any undesirable voids in one or more deposited layers. The deposition map is inspected to select one or more deposition actions (e.g., The deposition action may involve continuing deposition with the same parameters, updating the parameters, mitigation potential voids (e.g., by developing a void mitigation parameter set), and/or stopping deposition (and optionally performing scrap-marking).

Abstract: A monitor mounting system which includes a crossbar having at least one monitor mounting bracket positioned thereon. A support arm is configured to adjust the vertical height of the crossbar and a pivot assembly is positioned between the support arm and the crossbar, with the pivot assembly configured to allow limited pivot adjustment of the crossbar in order to level the crossbar to the horizontal position.

Abstract: An automated system and computer implemented method for providing medical health care services to a remote patient, the system comprising a memory, a datastore, a communication component, and a processor coupled to the memory and configured to transmit to a first remote device using the communication component, a first set of queries. Receive from the first remote device using the communication component and in response to the first set of queries, first response data. Store in the data store, the set of queries and responses to the one or more queries and a health condition associated with a first user of the remote device. Determine a second set of queries, different to the first set of queries, based on the response received from the first remote device. Transmit using the communication component to a second device having a second user with the same health condition as the first user, the second set of queries.

Abstract: A monitor mounting system which includes a crossbar having at least one monitor mounting bracket positioned thereon. A support arm is configured to adjust the vertical height of the crossbar and a pivot assembly is positioned between the support arm and the crossbar, with the pivot assembly configured to allow limited pivot adjustment of the crossbar in order to level the crossbar to the horizontal position.