Abstract: The present disclosure relates to a deep learning neural network that can identify corpora lutea in the ovaries and a rules-based technique that can count the corpora lutea identified in the ovaries and infer an ovarian toxicity of a compound based on the count of the corpora lutea (CL). Particularly, aspects of the present disclosure are directed to obtaining a set of images of tissue slices from ovaries treated with an amount of a compound; generating, using a neural network model, the set of images with a bounding box around objects that are identified as the CL within the set of images based on coordinates predicted for the bounding box; counting the bounding boxes within the set of images to obtain a CL count for the ovaries; and determining an ovarian toxicity of the compound at the amount based on the CL count.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: recording, by a controller onboard the vehicle, lidar data from the lidar device while the vehicle is travelling on a straight road; determining, by the controller, that the vehicle is travelling straight on the straight road; detecting, by the controller, straight lane marks on the straight road; computing, by the controller, lidar boresight parameters based on the straight lane marks; calibrating, by the controller, the lidar device based on the lidar boresight parameters; and controlling, by the controller, the vehicle based on data from the calibrated lidar device.

Abstract: A manufacture method of an electronic device, an electronic device, and a manufacture tool for an electronic device are provided. The electronic device includes a stretching region and non-stretching regions on both sides of the stretching region, and the method includes: providing a flexible substrate, the flexible substrate including a stretching portion and non-stretching portions on both sides of the stretching portion, in which the stretching portion and the non-stretching portions respectively correspond to the stretching region and the non-stretching regions; stretching the stretching portion in a direction perpendicular to a longitudinal direction of the stretching portion, and then fixing the stretching portion to allow the stretching portion to be maintained in a stretching state; forming circuit structures on the non-stretching portions; and releasing the fixing of the stretching portion to allow the stretching portion to be restored.

Abstract: A pixel arrangement structure, an organic electroluminescent display panel, a metal mask, a display device are provided, the pixel arrangement structure including: first sub-pixels, second sub-pixels and third sub-pixels, all being not overlapped but being spaced apart; one first sub-pixels functions as a central point and other four first sub-pixels function as four vertices to define a first virtual rectangle comprising four second virtual rectangles in a 2×2 matrix in mirror symmetry; the second sub-pixels are at central points of side edges of the first virtual rectangle; two second sub-pixels at central positions of two adjacent side edges of the first virtual rectangle, one first sub-pixel at a vertice of the first virtual rectangle where the two adjacent side edges intersect, and another first sub-pixels at the central point of the first virtual rectangle define four vertices of each second virtual rectangle; the third sub-pixels are within the second virtual rectangles and each is shaped as: a concave

Abstract: A vehicle including an advanced driver-assistance system (ADAS) and operator-adjustable devices is described. Controlling the vehicle includes identifying a vehicle operator, and capturing a plurality of operator-selectable settings associated with the plurality of operator-adjustable devices for the vehicle operator. A base profile and a second profile are determined for the vehicle operator based upon the first subset associated with non-autonomous operation of the vehicle and the second subset associated with ADAS, respectively. The plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the base profile when the vehicle is operating in the non-autonomous mode, and the plurality of operator-adjustable devices are controlled to the operator-selectable settings associated with the second profile when the vehicle is being controlled at least in part by one or more of the subsystems of the ADAS.

Abstract: A pixel arrangement including: first groups of sub-pixels arranged in a first direction, each of the first groups including first sub-pixels and third sub-pixels arranged alternately; and second groups of sub-pixels arranged in the first direction, each of the second groups including third sub-pixels and second sub-pixels arranged alternately. The first groups and the second groups are alternately arranged in a second direction perpendicular to the first direction. The first groups and the second groups are arranged to form third groups of sub-pixels arranged in the second direction and fourth groups of sub-pixels arranged in the second direction. The third groups and the fourth groups are alternately arranged in the first direction. Each of the third groups includes first sub-pixels and third sub-pixels arranged alternately. Each of the fourth groups includes third sub-pixels and second sub-pixels arranged alternately.

Abstract: A portable electronic device adapted for connecting to a base is provided. The base has a first connector and an RFID tag. The portable electronic device includes a casing, a second connector, a cover, a control module and an RFID sensor. The second connector is disposed on a lateral surface of the casing and is adapted for connecting to the first connector. The cover is movably disposed on the lateral surface of the casing and corresponds to the second connector, so as to cover or expose the second connector. The RFID sensor is disposed in the casing and is adjacent to the lateral surface. The RFID sensor detects the RFID tag to generate a signal. The control module is disposed in the casing and coupled to the RFID sensor and the cover. The control module controls the cover to move to expose the second connector according to the signal.

Abstract: The disclosure provides a multi-page display screen and a mobile phone including the same. The multi-page display screen includes a first display sub-screen and a second display sub-screen formed by flexible screens. The first display sub-screen and the second display sub-screen each includes a first half screen and a second half screen. The first half screen and the second half screen are pivotable and foldable relative to each other, and the first half screen and the second half screen can be unfolded relative to each other to constitute the first display sub-screen and the second display sub-screen respectively. Backs of the first half screens of the first display sub-screen and in the second display sub-screen are bonded together, such that the first display sub-screen and the second display sub-screen are arranged as book pages. The multi-page display screen makes it easy to switch to a page of a different mode.

Abstract: Methods and apparatus are provided for determining an offset detection for a fuel level sensor fault. The method includes receiving an electrical resistance reading from a potentiometer of a fuel level sensor and generating an estimated fuel level based on an established fuel usage table that references the electrical resistance reading. The fuel level sensitivity is calculated based on the change in electrical resistance readings divided by the change in the estimated fuel levels (R/F). The fuel level sensitivity is compared to a predetermined sensitivity curve to determine any necessary offset to the electrical resistance reading. Finally, the fuel usage table is updated with the offset to the electrical resistance reading.

Abstract: A pixel arrangement including first groups of sub-pixels arranged in a first direction, each of the first groups including first sub-pixels and third sub-pixels arranged alternately, and second groups of sub-pixels arranged in the first direction, each of the second groups including third sub-pixels and second sub-pixels arranged alternately. The first groups and the second groups are alternately arranged in a second direction perpendicular to the first direction. The first groups and the second groups are arranged to form third groups of sub-pixels arranged in the second direction and fourth groups of sub-pixels arranged in the second direction. The third groups and the fourth groups are alternately arranged in the first direction. Each of the third groups includes first sub-pixels and third sub-pixels arranged alternately. Each of the fourth groups includes third sub-pixels and second sub-pixels arranged alternately.

Abstract: The present disclosure provides a display substrate, a method for preparing the same, and a display device. The display substrate includes a planarization layer located on a base substrate and a first electrode layer located on the planarization layer, a side of the planarization layer away from the base substrate includes a scattering structure, the first electrode layer is located on the scattering structure, and a thickness of the first electrode layer is substantially identical.

Abstract: A comparing module receives first data regarding surroundings of a vehicle from a plurality of sensors in the vehicle, receives second data regarding the surroundings from the plurality of sensors after receiving the first data, compares the first data to the second data, and determines a first difference between the first data and the second data based on the comparison of the first data to the second data. A perception module generates a first set of perception results based on the first data, generates a second set of perception results based on the second data, and determines a second difference between the first data and the second data based on the first set of perception results and the second set of perception results. A diagnostics module determines whether one of the sensors or the perception module is faulty based on a combination of the first difference and the second difference.

Abstract: A perception system includes a perception module configured to capture first sensor data that includes data from at least one of an external sensor and a camera captured in a first period, a prediction module configured to receive the first sensor data, generate, based on the first sensor data, predicted sensor data for a second period subsequent to the first period, receive second sensor data for the second period, and output results of a comparison between the predicted sensor data and the second sensor data, and a diagnostic module configured to selectively identify a fault in the perception system based on the results of the comparison.

Abstract: A method and a device for unlocking a fingerprint are provided. The method includes: controlling a predetermined light-emitting region of a display device to enter a first display mode upon receipt of external light, controlling the predetermined light-emitting region of the display device to enter a second display mode when the predetermined light-emitting region of the display device is pressed; and acquiring fingerprint information in the predetermined light-emitting region of the display device after the predetermined light-emitting region enters the second display mode, and determining whether to allow unlocking or not according to the fingerprint information.

Abstract: A perception module receives frames of data from sensors onboard a vehicle and identifies objects surrounding the vehicle based on the data. A fault detection module determines semantic information associated with the data, generates a score for each of the identified objects based on a correlation of each of the identified objects with the semantic information, and generates a score for the frames based on the scores for the identified objects. The fault detection module determines that the perception module: is operating normally in response to the score for the frames being less than a first threshold, has a fault in response to the score for the frames being greater than a second threshold, and needs inspection in response to the score being between the first and second thresholds.

Abstract: A method of on-line diagnostic and prognostic assessment of an autonomous vehicle perception system includes detecting, via a sensor, a physical parameter of an object external to the vehicle. The method also includes communicating data representing the physical parameter via the sensor to an electronic controller. The method additionally includes comparing the data from the sensor to data representing the physical parameter generated by a geo-source model. The method also includes comparing results generated by a perception software during analysis of the data from the sensor to labels representing the physical parameter from the geo-source model. Furthermore, the method includes generating a prognostic assessment of a ground truth for the physical parameter of the object using the comparisons of the sensor data to the geo-source model data and of the software results to the geo-source model labels. A system for on-line assessment of the vehicle perception system is also disclosed.

Abstract: In various embodiments, method, systems, and vehicles are provided that include: obtaining, via one or more sensors, sensor data pertaining including one or more images of one or more detected objects in proximity to a vehicle; processing the one or more images via a neural network model of a perception system of the vehicle, generating perception results for the one or more images; analyzing, via a processor, a plurality of potential faults in the perception system, based on the perception results, using a respective different technique for each of the plurality of potential faults, for the neural network model; determining a fault of the plurality of potential faults, via the processor, based on the analyzing; and taking a vehicle control action with respect to the vehicle, based on the fault, via instructions provided by the processor.

Abstract: In various embodiments, method, systems, and vehicles are provided that include: obtaining, via one or more sensors, sensor data pertaining including one or more images of one or more detected objects in proximity to a vehicle; processing the one or more images via a neural network model of a perception system of the vehicle, generating perception results for the one or more images; analyzing, via a processor, a plurality of potential faults in the perception system, based on the perception results, using a respective different technique for each of the plurality of potential faults, for the neural network model; determining a fault of the plurality of potential faults, via the processor, based on the analyzing; and taking a vehicle control action with respect to the vehicle, based on the fault, via instructions provided by the processor.