Abstract: The present application discloses an isolated nucleic acid sequence for detecting the presence of a target nucleic acid sequence, a ribozyme for detecting the presence of a target nucleic acid sequence and uses thereof.

Abstract: A stent (300, 400, 400?) for a prosthetic heart valve includes a body having an inflow end (310, 410) and an outflow end (312, 412), and an anchoring section (340, 440) adjacent the inflow end. The anchoring section may include structure (342, 344, 420) that extends radially outwardly from the body when the stent is in an expanded condition. The stent may include a transition section (370, 470) between the body and the anchoring section, the transition section in the expanded condition of the stent having a diameter that is smaller than the diameters of the body and the anchoring section. When implanted into a native valve annulus, such as the mitral valve annulus, the anchoring section may help the stent resist migrating away from the native valve annulus.

Abstract: Disclosed are devices, systems and methods for incorporating a smoothness constraint for camera pose estimation. One method for robust camera pose estimation includes determining a first bounding box based on a previous frame, determining a second bounding box based on a current frame that is temporally subsequent to the previous frame, estimating the camera pose by minimizing a weighted sum of a camera pose function and a constraint function, where the camera pose function tracks a position and an orientation of the camera in time, and where the constraint function is based on coordinates of the first bounding box and coordinates of the second bounding box, and using the camera pose for navigating the vehicle. The method may further include generating an initial estimate of the camera pose is based on a Global Positioning System (GPS) sensor or an Inertial Measurement Unit (IMU).

Abstract: Disclosed are devices, systems and methods for curb detection using light detection and ranging (LiDAR) sensors. One example of a method for curb detection includes acquiring, based on a scan of an area around a vehicle, a point-cloud frame that includes a description of an intensity of a reflection of the area around the vehicle, selecting a subset of points from the point-cloud frame, seeding each of a plurality of clusters based on the selected points, determining a criterion for each of the selected points, increasing a size of each of the plurality of clusters by including additional points from the point-cloud frame that meet the criterion for the corresponding cluster, identifying a largest cluster of the plurality of clusters upon completion of the increasing step, and detecting a curb based on a boundary of the largest cluster.

Abstract: A prosthetic heart valve includes a collapsible stent extending from an inflow end to an outflow end, and a cuff having an inflow end an outflow end. The stent includes first and second circumferential rows of cells defined by first and second pluralities of struts, respectively. The second circumferential row is positioned closer to the outflow end of the stent than the first circumferential row. At least one cell in the second circumferential row includes by a first strut opposed to a fourth strut and a second strut opposed to a third strut. A bridging feature in at least one cell in the second circumferential row includes first and second supplemental struts extending across an intermediate portion of the cell. The outflow end of the cuff is coupled to the stent along the bridging feature.

Abstract: Described herein are systems and methods for multimodal recurrent network processing. In an embodiment, a system for evaluating multimodal data comprising a multimodal data input and a multimodal processing module is described. The multimodal data input may comprise the multimodal data, the multimodal data may comprise a first modality and a second modality. The multimodal processing module may be configured to receive the multimodal data comprising the first modality and the second modality; evaluate the first modality using a first recursive neural network comprising a first transformation matrix; evaluate the second modality using a second recursive neural network comprising the first transformation matrix; and determine an output based, at least in part, on evaluating the first modality and the second modality.

Abstract: A prosthetic heart valve includes a collapsible and expandable stent including a plurality of struts forming cells, the stent having a proximal end, a distal end, an annulus section adjacent the proximal end, an aortic section adjacent the distal end, and a transition section disposed between the annulus section and the aortic section, the aortic section having a larger diameter than the annulus section. The heart valve further includes a valve assembly disposed entirely in the annulus section of the stent for controlling the flow of blood through the stent, the valve assembly including a plurality of leaflets, and a cuff, the cuff being disposed on a surface of the stent and extending fully over at least two rows of cells of the stent.

Abstract: A therapeutic device includes a prosthetic heart valve including a collapsible and expandable stent having an aortic section and an annulus section, and a valve assembly disposed within the annulus section of the stent, the valve assembly including a plurality of leaflets; and a graft coupled to the aortic section of the stent. The graft has a body and at least one lining disposed on the body and defining a lumen therethrough.

Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.

Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.

Abstract: A mechanism is provided for enhancing security access to a data processing system. Responsive to authenticating a first factor of the multi-factor authentication by matching a scanned fingerprint/thumbprint of a user to at least one previously scanned fingerprint/thumbprint in a set of previously scanned fingerprints/thumbprints, a determination is made as to whether a touch pressure level exerted by the user on a touch pressure sensor associated with the data processing system matches at least one previously stored touch pressure level in a set of previously stored touch pressure levels. Responsive to matching the touch pressure level exerted by the user to a previously stored touch pressure level in the set of previously stored touch pressure levels, a second factor of the multi-factor authentication is authenticated. Access is then granted for the user to the data processing system.

Abstract: A prosthetic heart valve includes a collapsible stent and a valve assembly disposed within the stent. A first cuff is disposed adjacent the stent. A filler is annularly disposed about the stent radially outward of the first cuff and radially outward of the stent. The filler has a first circumferential layer with a first inner wall, a first outer wall, and a plurality of first ribs connecting the first inner wall to the first outer wall. The filler has an expanded condition in which the first inner wall is spaced a first distance from the first outer wall in a radial direction transverse to the longitudinal direction of the stent, and a collapsed condition in which the first inner wall is spaced a second distance from the first outer wall in the radial direction, the first distance being greater than the second distance.

Abstract: System, methods, and other embodiments described herein relate to identifying rear indicators of a nearby vehicle. In one embodiment, a method includes, in response to detecting a nearby vehicle, capturing signal images of a rear portion of the nearby vehicle. The method includes computing a braking state for brake lights of the nearby vehicle that indicates whether the brake lights are presently active by analyzing the signal images according to a brake classifier. The method includes computing a turn state for rear turn signals of the nearby vehicle that indicates which of the turn signals are presently active by analyzing regions of interest from the signal images according to a turn classifier. The brake classifier and the turn classifier are comprised of a convolutional neural network and a long short-term memory recurrent neural network (LSTM-RNN). The method includes providing electronic outputs identifying the braking state and the turn state.

Abstract: An object tracking device includes a short-term processing portion and a long short-term processing portion that are implemented by circuitry and work in a collaborative manner to track an object. The short-term processing portion includes a filter that tracks the object based on short-term memory and spatiotemporal consistency. The long short-term processing portion performs key-point matching-tracking and estimation based on a key-point database in order to track the object. A controller determines an output of the object tracking device based on the processing conducted by the short-term and long short-term processing portions of the tracking device, respectively.

Abstract: A gel polymer coating separator with a multi-core-single-shell structure and a preparation method thereof for making lithium-ion batteries.

Abstract: Obstacles located in an external environment of a vehicle can be classified. At least a portion of the external environment can be sensed using one or more sensors to acquire sensor data. An obstacle candidate can be identified based on the acquired sensor data. An occlusion status for the identified obstacle candidate can be determined. The occlusion status can be a ratio of acquired sensor data for the obstacle candidate that is occluded to all acquired sensor data for the obstacle candidate. A classification for the obstacle candidate can be determined based on the determined occlusion status. A driving maneuver for the vehicle can be determined at least partially based on the determined classification for the obstacle candidate. The vehicle can be caused to implement the determined driving maneuver. The vehicle can be an autonomous vehicle.

Abstract: Described herein are systems and methods for multimodal recurrent network processing. In an embodiment, a system for evaluating multimodal data comprising a multimodal data input and a multimodal processing module is described. The multimodal data input may comprise the multimodal data, the multimodal data may comprise a first modality and a second modality. The multimodal processing module may be configured to receive the multimodal data comprising the first modality and the second modality; evaluate the first modality using a first recursive neural network comprising a first transformation matrix; evaluate the second modality using a second recursive neural network comprising the first transformation matrix; and determine an output based, at least in part, on evaluating the first modality and the second modality.

Abstract: A collapsible stent for an implantable prosthetic valve incorporates leaflet-supporting members having relatively large surface area in comparison to other members defining the remainder of the stent. The leaflet-supporting members may have openings extending through them. The valve leaflets may be attached to the stent so that an attached edge of each leaflet extends along the leaflet-supporting members and is attached to the members by polymer integral with the leaflet overlying the leaflet supporting members and extending into the openings of the leaflet supporting members. The secure attachment resists stress on the leaflets.

Abstract: Ray tracing can be used to detect hidden obstacles in an external environment of a vehicle. An outbound sensor signal can be transmitted into an external environment of the vehicle. The outbound sensor signal can be a LIDAR sensor signal. If a return sensor signal is not received for the outbound sensor signal, it can be determined whether an obstacle is located along a projected path of the outbound sensor signal. Such a determination can be made using one or more maps, such as a terrain map and/or a static obstacle map. Responsive to determining that an obstacle is located along the projected path of the outbound sensor signal, a driving maneuver for the vehicle relative to the obstacle can be determined. The vehicle can be caused to implement the determined driving maneuver.

Abstract: Minimizing incorrect associations of sensor data for an autonomous vehicle are described. A driving environment of the autonomous vehicle includes a stationary object and a dynamic object. Such objects can be detected by radar sensors and/or lidar sensors. In one example, a history of radar observation can be used to minimize incorrect sensor data associations. In such case, the location of a stationary object in the driving environment can be determined. When a dynamic object passes by the stationary object, lidar data of the dynamic object is prevented from being associated with radar data obtained substantially at the determined location of the stationary object. In another example, identifiers assigned to radar data can be used to minimize incorrect sensor data associations. In such case, lidar data of an object can be associated with radar data having a particular identifier.