Abstract: An edge server of a distributed edge compute and routing service receives a tunnel connection request from a tunnel client residing on an origin server, that requests a tunnel be established between the edge server and the tunnel client. The request identifies the hostname that is to be tunneled. An IP address is assigned for the tunnel. DNS record(s) are added or changed that associate the hostname with the assigned IP address. Routing rules are installed in the edge servers of the distributed edge compute and routing service to reach the edge server for the tunneled hostname. The edge server receives a request for a resource of the tunneled hostname from another edge server that received the request from a client, where the other edge server is not connected to the origin server. The request is transmitted from the edge server to the origin server over the tunnel.

Abstract: The disclosed technology provides a device for sealing an aperture in a tissue of a body lumen. The device comprises a flexible support member having a base having (i) a central portion and (ii) one or more lateral support portions, to engage and/or hold a sealable member of the device against an interior surface of the tissue when the device is in the sealing position. The lateral support portions provide additional support surfaces to engage peripheral portions of the sealable member against the interior surface of the tissue. A cage or shoe engaged with the support member on the exterior surface of the tissue can provide additional support and assist sealing the aperture.

Abstract: In aspects, zoned haptic effects are provided by assigning a plurality of zones corresponding to each of a plurality of zone actuators for providing haptic effects. A desired haptic response is provided for zones selected for actuation, and the response by the zone actuators is detected. Adjacent and non-adjacent zones are assigned for the detected zones as being driven by any of the plurality of zone actuators. Vibration on the adjacent and non-adjacent zone is suppressed in accordance with control parameters associated with the respective adjacent and non-adjacent zones. If a duration of the provided haptic effect has not passed, the suppression of vibration in the adjacent and non-adjacent zones is maintained and if the duration has passed, the suppression of vibration is terminated. Numerous other aspects are provided.

Abstract: A system includes a first mid-rail slit positioned at a first position. A second mid-rail slit is positioned at a second position directly across from the first mid-rail slit. A first and second stile are positioned between the first and second mid-rail slit. The first and second stile are inserted and positioned in a perpendicular direction to a bottom panel to be aligned in a vertical direction between the first and second mid-rail slit. The first and second stile provide separation for a plurality of decorative screen panels. The plurality of decorative screen panels are positioned in contact with the first and second stile.

Abstract: Managing organization disconnections from a shared resource of a communication platform is described. In a sharing approval repository of a communication platform, a shared resource can be associated with a host organization identifier and a non-host organization identifier. In an example, in response to receiving, from a user computing device associated with the host organization identifier or the non-host organization identifier, a resource disconnection request comprising a disconnecting organization identifier and a resource identifier associated with the shared resource, the sharing approval repository can be updated to add a disconnection indication for the resource identifier in association with the disconnecting organization identifier.

Abstract: A device for sealing an aperture in a tissue includes: a foot including a distal portion configured to be disposed distal to the tissue when the device is implanted in a position to seal the aperture; and a flexible wing positionable against a distal surface of the tissue adjacent the aperture such that the flexible wing is disposed between the distal portion of the foot and the distal surface adjacent the aperture.

Abstract: A filter housing assembly for fluid filtration which may be attached to, and removed from, a filter base by a push-actuated release. The filter housing assembly has a top portion with an ingress port and egress port extending therefrom, and a protrusion extending from the filter housing longitudinally axial center. The ingress and egress port are formed in an hourglass shape. A filter key having a base with a groove for mating with said projection, at least one finger extending from said base, and an electronic circuit component housing attached thereto for receiving a printed circuit board, is connected to the filter housing top portion by mating said top portion protrusion with the filter key groove. Both of said ingress and egress port have at least one cavity for the passage of fluid therethrough, where each cavity is exposed in a direction facing away from the printed circuit board.

Abstract: Embodiments of the present invention are directed to systems and methods for preventing unauthorized access to server racks. In one example, the security system includes a plurality of electronic keys and a plurality of electronic locks each configured to secure a respective server rack. Each of the electronic locks is configured to communicate with any one of the electronic keys for determining whether the electronic key is authorized to unlock the electronic lock for accessing the server rack. The security system also includes a ticketing system configured to assign one or more server racks to users of each of the plurality of electronic keys for authorizing the plurality of electronic keys to unlock one or more of the plurality of electronic locks for the assigned server racks.

Abstract: Provided are binding molecules, such as TCRs or antigen binding fragments thereof and antibodies and antigen-binding fragments thereof, such as those that recognize or bind human papilloma virus (HPV) 16, including HPV 16 E6 and HPV 16 E7. Also provided are engineered cells containing such binding molecules, compositions containing the binding molecules or engineered cells, and methods of treatment, such as administration of the binding molecules, engineered cells, or compositions.

Abstract: A tunnel is established between a first edge server of a distributed edge compute and routing service and a tunnel client residing on an origin server. Routing rules are installed in the edge servers of the distributed edge compute and routing service to reach the first edge server. The routing rules are based at least in part on traffic information gathered from processing other traffic that traverses the distributed edge compute and routing service. A request for content served by the origin server through the tunnel is received at a second edge server of the distributed edge compute and routing service. A path from the second edge server to the first edge server is determined based on the routing rules. The request is transmitted on the determined path. The first edge server receives the request and transmits the request to the origin server over the tunnel.

Abstract: A door of a vehicle, such as a side-by-side utility vehicle, opens vertically about a door pivot. Opening of the door is facilitated by an actuator that secures to the door behind the door pivot. The actuator may also secure to a door frame behind the door pivot. The door may have a range of motion such that at least a portion of the door is positioned forward of the door pivot when opened. The actuator may be a gas spring that may include damping. The actuator may be mounted between panels of the door and may extend through a slot defined by the door to secure to the door frame.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.

Abstract: A head-mounted device (HMID) may include a front portion, a rear portion and one or more bands. The front portion may include an optical display configured to output image light to a user's eyes. The rear portion may be arranged with the front portion to balance the HMID in weight. The one or more bands connect the front portion and the rear portion so that the two portions rest on either side of the user's head.

Abstract: A farming machine moves through a field and includes an image sensor that captures an image of a plant in the field. A control system accesses the captured image and applies the image to a machine learned plant identification model. The plant identification model identifies pixels representing the plant and categorizes the plant into a plant group (e.g., plant species). The identified pixels are labeled as the plant group and a location of the pixels is determined. The control system actuates a treatment mechanism based on the identified plant group and location. Additionally, the images from the image sensor and the plant identification model may be used to generate a plant identification map. The plant identification map is a map of the field that indicates the locations of the plant groups identified by the plant identification model.

Abstract: A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

Abstract: A farming machine includes one or more image sensors for capturing an image as the farming machine moves through the field. A control system accesses an image captured by the one or more sensors and identifies a distance value associated with each pixel of the image. The distance value corresponds to a distance between a point and an object that the pixel represents. The control system classifies pixels in the image as crop, plant, ground, etc. based on depth information in in the pixels. The control system generates a labelled point cloud using the labels and depth information, and identifies features about the crops, plants, ground, etc. in the point cloud. The control system generates treatment actions based on any of the depth information, visual information, point cloud, and feature values. The control system actuates a treatment mechanism based on the classified pixels.

Abstract: Techniques are described herein that are capable of performing an aggregation-based determination of resiliency of a cloud computing service to chaos events. Chaos events are executed against a cloud computing service during a time frame that includes multiple time periods. For each chaos event, service health indexes (SHIs) that correspond to the time periods are calculated. Each SHI indicates an extent to which indicators, which represent respective measurements of performance of the cloud computing service during the respective time period, satisfy respective criteria. The SHIs for each chaos event are analyzed to provide a respective resiliency score. At least some of the resiliency scores of the respective chaos events are aggregated to provide an aggregated resiliency score, which represents resiliency of the cloud computing service to the chaos events.

Abstract: A farming machine is configured to identify and compensate for occlusions in the field of view of its image acquisition system. To do so, the machine captures an image using a first set of capture parameters associated with a first set of treatment results. The farming machine identifies an occlusion in the first image that obstructs a portion of the first image and determines occlusion characteristics representative of the occlusion based on image data in the first image. The farming machine compensates for the identified occlusion based on the occlusion characteristics. The farming machine captures a second image using modified set of capture parameters that compensate for the occlusion. The second image is associated with a second set of treatment results. The farming machine transmits the second set of treatment results to a manager of the farming machine.

Abstract: A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.