Abstract: A target surface in an eye is located using a dual aiming beam apparatus that transmits a first aiming beam of light and a second aiming beam of light. An optics subsystem receives a laser beam from a laser source, the first aiming beam of light, and the second aiming beam of light, and directs the beams of light to be incident with the target surface and aligns the beams of light such that they intersect at a point corresponding to a focus of the laser beam. An imaging apparatus captures an image of the target surface including a first spot corresponding to the first aiming beam of light and a second spot corresponding to a second aiming beam of light. A separation between the spots indicates that the focus is away from the target surface, while overlapping spots indicate the focus is at or on the target surface.

Abstract: In some examples, a computing system receives an indication of an increased workload portion to be added to a workload of a storage system, the workload comprising buckets of operations of different characteristics. The computing system computes, based on quantities of operations of the different characteristics in the workload, factor values that indicate distribution of operations of the increased workload portion to the buckets of operations of the different characteristics, and distributes, according to the factor values, the operations of the increased workload portion into the buckets of operations of the different characteristics.

Abstract: Systems and methods for providing mobile network guidance to applications communicating with devices via a mobile network.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.

Abstract: A system can include a network analysis platform that applies models to identify downlink interference at a network cell, such as at a base station. For a session at a cell, an expected performance with normalized downlink interference can be compared to an actual performance to determine whether the session is impacted. This can include normalizing channel quality index (“CQI”) and negative-acknowledgement (“NACK”) rate. Overshooting aggressor cells can be identified as the source of the downlink interference based on a useless overlap fraction exceeding a threshold. The impacted sessions and root causes can be displayed on a graphical user interface (“GUI”).

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: A vehicle door opening assembly adopting three positions: a hidden position, a ready position, and a release position. Guiding means comprising a slider support a handling element and can be moved by elastic means from the hidden position into the ready position. The slider is movable in translation from the hidden/retracted position, in which the slider and the handling element are contained in a release mechanism sheath, to the ready/deployed position when the elastic means are released. The handling element is fixed to the slider so as to be rotatable between a position coaxial with the slider and an inclined position protruding laterally from the release mechanism sheath. Secondary elastic means cause the handling element to rotate in a visible inclined position when the slider reaches the ready/deployed position.

Abstract: A system can include a network analysis platform that applies models to identify downlink interference at a network cell, such as at a base station. For a session at a cell, an expected performance with normalized downlink interference can be compared to an actual performance to determine whether the session is impacted. This can include normalizing channel quality index (“COI”) and negative-acknowledgement (“NACK”) rate. Overshooting aggressor cells can be identified as the source of the downlink interference based on a useless overlap fraction exceeding a threshold. The impacted sessions and root causes can be displayed on a graphical user interface (“GUI”).

Abstract: A target volume of ocular tissue is treated with a laser having a direction of propagation toward the target volume, where the target volume is characterized by a distal extent, a proximal extent, and a lateral extent. A layer of tissue at an initial depth corresponding to the distal extent of the target volume is initially photodisrupted using a femtosecond laser by scanning the laser in multiple directions defining an initial treatment plane. Tissue at one or more subsequent depths between the distal extent of the target volume and the proximal extent of the target volume is subsequently photodisrupted using a femtosecond laser by moving a focus of the laser in a direction opposite the direction of propagation of the laser and then scanning the laser in multiple directions defining an subsequent treatment plane. Photodisruption is repeated at different subsequent depths until tissue at the proximal extent of the target volume is photodisrupted.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: A target volume of ocular tissue is treated with a laser having a direction of propagation toward the target volume, where the target volume is characterized by a distal extent, a proximal extent, and a lateral extent. A layer of tissue at an initial depth corresponding to the distal extent of the target volume is initially photodisrupted using a femtosecond laser by scanning the laser in multiple directions defining an initial treatment plane. Tissue at one or more subsequent depths between the distal extent of the target volume and the proximal extent of the target volume is subsequently photodisrupted using a femtosecond laser by moving a focus of the laser in a direction opposite the direction of propagation of the laser and then scanning the laser in multiple directions defining an subsequent treatment plane. Photodisruption is repeated at different subsequent depths until tissue at the proximal extent of the target volume is photodisrupted.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: A device for visualizing an irido-corneal angle of an eye through a window of a patient interface configured to be placed on the eye includes and optics structure and at least one imaging apparatus. The optics structure is configured to engage with the patient interface to provide a line of sight through the window in the direction of the irido-corneal angle, and to subsequently disengage from the patient interface. The imaging apparatus is associated with the optics structure and aligned with the line of sight to enable capturing an image of the eye including the irido-corneal angle.

Abstract: The present technology relates to methods for treating, preventing, and/or ameliorating diseases associated with ectopic iron-sulfur (Fe—S) cluster formation or ectopic iron-sulfur (Fe—S) cluster binding, such as adult-onset neuronal ceroid lipofuscinosis (ANCL or Kufs disease) comprising administering a therapeutically effective amount of an iron chelator to a subject in need thereof. Kits for use in practicing the methods are also provided.

Abstract: A system can include a network analysis platform that applies performance models to determine if a load imbalance exists at a cell, such as at a base station. The performance models are pre-trained based on network telemetry data. For a session at a cell, an expected load can be compared to an actual load to determine whether the session is impacted by a load imbalance. If the number of impacted sessions exceeds a threshold, the base station can be highlighted on a GUI. Additionally, the network analysis platform can perform root cause analysis of a victim cell based on session handoff analysis to determine how to decrease the imbalance impacts.

Abstract: A target surface in an eye is located using a dual aiming beam apparatus that transmits a first aiming beam of light and a second aiming beam of light. An optics subsystem receives a laser beam from a laser source, the first aiming beam of light, and the second aiming beam of light, and directs the beams of light to be incident with the target surface and aligns the beams of light such that they intersect at a point corresponding to a focus of the laser beam. An imaging apparatus captures an image of the target surface including a first spot corresponding to the first aiming beam of light and a second spot corresponding to a second aiming beam of light. A separation between the spots indicates that the focus is away from the target surface, while overlapping spots indicate the focus is at or on the target surface.

Abstract: Systems and methods for providing information describing mobile network interference experienced by a mobile network.

Abstract: A target volume of ocular tissue of an irido-corneal angle of an eye is treated by moving a focus of a laser through the target volume of ocular tissue, and photodisrupting the target volume of ocular tissue at a plurality of spots as the focus is moved through the target volume of ocular tissue. The focus is moved by transverse scanning the focus between at least one of: a first circumferential boundary and a second circumferential boundary of the target volume of ocular tissue, and a first azimuthal boundary and a second azimuthal boundary of the target volume of ocular tissue, and axial scanning the focus between a distal extent and a proximal extent of the target volume of ocular tissue.

Abstract: A method for automated root cause analysis in mobile radio access networks, including: determining mobile radio access network data (e.g., RAN data); detecting an anomaly for a set of user sessions and/or cells from the RAN data; and classifying the detected anomalies using a set of root cause classifiers.