Abstract: Systems and methods for automatically tracking multi-Z horizons within seismic volumes are provided. A surface from a plurality of surfaces identified at different depths for a multi-Z horizon within a seismic volume is selected. A seed point corresponding to the selected surface is determined. The selected surface is tracked over new data points through the seismic volume. Tracking each new data point involves comparing a depth of the new data point with depths associated with other surfaces and determining whether the depth of the new data point honors a geological boundary rule for maintaining a relative depth position of each of the plurality of surfaces within the multi-Z horizon, based on the comparison. When the depth of the new data point honors the rule, the selected surface is extended to include the new data point and, when it does not, the new data point is discarded.

Abstract: A system in a package (SIP) includes carrier layer regions that have a dielectric material with a metal post therethrough, where adjacent carrier layer regions define a gap. A driver IC die is positioned in the gap having nodes connected to bond pads exposed by openings in a top side of a first passivation layer, with the bond pads facing up. A dielectric layer is on the first passivation layer and carrier layer region that includes filled through vias coupled to the bond pads and to the metal post. A light blocking layer is on sidewalls and a bottom of the substrate. A first device includes a light emitter that has first bondable features. The light blocking layer can block at least 90% of incident light. The first bondable features are flipchip mounted to a first portion of the bond pads.

Abstract: The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such data in the conduct of an assay by an assay system. The present invention also relates to consumables (e.g., kits and reagent containers), software, data deployable bundles, computer-readable media, loading carts, instruments, systems, and methods, for performing automated biological assays.

Abstract: The disclosure relates generally to the field of immune binding proteins and method for obtaining immune binding proteins from genomic or other sources. The disclosure also relates to anti-SARS-CoV-2 antibodies that have been obtained from subjects who became immune to this coronavirus, and to methods of using these anti-SARS-CoV-2 antibodies. Methods for neutralizing SARS-CoV-2 are disclosed, as well treatments for SARS-COV-2 using the anti-SARS-CoV-2 antibodies.

Abstract: A sensor communications system provides for the secure transfer of sensor measurement data from sensor devices to a remote, network connected server system. The sensor devices include processor to encrypt a sensor measurement data stream using the public key of an asymmetric key pair and to transmit the encrypted sensor measurement data stream through the local network interface. The remote server system includes a network gateway and a compute server with the compute server being couplable to the network gateway and an authorization server storing the private key of the asymmetric key pair. The compute server operates to decrypt the encrypted sensor measurement data stream using the private key and to process the decrypted sensor measurement data stream for presentation a user of the remote server system.

Abstract: Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.

Abstract: Disclosed are compounds of formulae I and II, and pharmaceutically acceptable salts and prodrugs thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such data in the conduct of an assay by an assay system. The present invention also relates to consumables (e.g., kits and reagent containers), software, data deployable bundles, computer-readable media, loading carts, instruments, systems, and methods, for performing automated biological assays.

Abstract: A networked computer system providing an automated control system that enables a sensor client to securely communicate with a heterogeneous set of unique sensors. The system enables autonomous secure identification of specific sensors capable of system inter-operation. Recognized sensors are autonomously paired and the connection secured using a password unique to the sensor and autonomously managed by the system. Measurement data is source encrypted using a well-defined public key, thereby providing data security that extends uninterrupted from the sensor itself to an appropriately authorized subsystem of the control system.

Abstract: Embodiments of the invention disclose a method of producing a portable electronic device cover glass. The method comprises providing a portable electronic device cover glass preform of a predefined thickness, for example ranging from 10 micrometers to 600 micrometers, and texturing a surface of the portable electronic device cover glass preform such that said surface is provided with a roughness that simulates the surface of paper in terms of a user's reading experience and writing experience.

Abstract: The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such data in the conduct of an assay by an assay system. The present invention also relates to consumables (e.g., kits and reagent containers), software, data deployable bundles, computer-readable media, loading carts, instruments, systems, and methods, for performing automated biological assays.

Abstract: The present disclosure generally relates to a process for preparing a catalytically active scaffold from a scaffold material, and in particular activating a surface of a scaffold by chemically removing sacrificial material from the surface of the scaffold to provide catalytically reactive sites on the surface of the scaffold.

Abstract: Disclosed are compounds of formulae I and II, and pharmaceutically acceptable salts and prodrugs thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.

Abstract: The present invention relates to methods, devices and systems for associating consumable data with an assay consumable used in a biological assay. Provided are assay systems and associated consumables, wherein the assay system adjusts one or more steps of an assay protocol based on consumable data specific for that consumable. Various types of consumable data are described, as well as methods of using such data in the conduct of an assay by an assay system. The present invention also relates to consumables (e.g., kits and reagent containers), software, data deployable bundles, computer-readable media, loading carts, instruments, systems, and methods, for performing automated biological assays.

Abstract: Disclosed are compounds of formula (I), and pharmaceutically acceptable salts thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.

Abstract: Disclosed are compounds of formulae I and II, and pharmaceutically acceptable salts and prodrugs thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: Disclosed are compounds of formulae I and II, and pharmaceutically acceptable salts and prodrugs thereof, which are inhibitors of the complement system. Also provided are pharmaceutical compositions comprising such a compound, and methods of using the compounds and compositions in the treatment or prevention of a disease or condition characterized by aberrant complement system activity.

Abstract: A method including receiving identification information for a first account holder at a financial institution, authenticating the first account holder via an automated teller machine (ATM) based on the identification information, identifying an event associated with the first account holder, including determining date information for the event, configuring a message relating to the event to be displayed to the first account holder based on the event, storing trigger configuration information comprising a time window including the date information for the event, and displaying the message to the first account holder via the ATM, the message being displayed when the first account holder accesses the ATM at a time occurring within the time window.