Abstract: A method for die-to-die (D2D) image alignment using a defect map associated with an image. The method includes accessing a set of images of a substrate, which correspond to different image capture conditions. The locations of various defects on the set of images are obtained and a defect map indicating relative locations of at least some of the defects is generated. The set of images are aligned with each other using the defect map to generate an aligned set of images.

Abstract: A method for training a prediction model to generate a high-resolution image representing defects on a substrate from a low-resolution image of the substrate. The method includes inputting a first image and a reference image of defects on a substrate, which are representative of images captured using different image capture conditions, to a neural network. The neural network is executed to generate a predicted image in response to the first image. A loss function that is indicative of a difference between a defect distribution in the predicted image and a defect distribution in the reference image is calculated and the neural network is modified based on the loss function. The neural network may be trained until the loss function is minimized.

Abstract: A method for determining a mask pattern and a method for training a machine learning model. The method for determining a mask pattern includes obtaining, via executing a model using a target pattern to be printed on a substrate as an input pattern, a post optical proximity correction (post-OPC) pattern; determining, based on the post-OPC pattern, a simulated pattern that will be printed on the substrate; and determining the mask pattern based on a difference between the simulated pattern and the target pattern. The determining of the mask pattern includes modifying, based on the difference, the input pattern inputted to the model such that the difference is reduced; and executing, using the modified input pattern, the model to generate a modified post-OPC pattern from which the mask pattern can be derived.

Abstract: A driving control apparatus, a driving control method and a display apparatus. When a display panel is in a power-on state and it is determined that a user leaves the display panel, a backlight stop signal (VBN) is first output, and a voltage stop signal (VPN) is then output. A backlight control circuit (320) stops operating in response to the backlight stop signal. In response to the voltage stop signal, a power switching circuit (330) stops outputting a driving voltage for driving the display panel to display a picture. When determining that the user returns to the front of the display panel, a voltage start signal (VPQ) can first be output, and a backlight start signal (VBQ) is then output. The backlight control circuit starts to operate in response to the backlight start signal. The power switching circuit outputs the driving voltage in response to the voltage start signal.

Abstract: A water culture device for peony is provided. The water culture device for peony includes an incubator. The incubator is internally provided with a sliding rack at a middle position. A servo motor is arranged on a right side of the incubator. Second rotating shaft levers are arranged on left and right sides of the incubator. Since the locating clips on the regulating levers and the planting baskets on the sliding rack are used cooperatively, the peony plants can be blossomed and positioned. Moreover, a downward putting action of the planting basket and a location clamping action of the locating clip are combined together and performed in one time through mechanical transmission, so that the trouble of stepwise operation is omitted, and the culture efficiency of peony plants is effectively promoted.

Abstract: Training methods and a mask correction method. One of the methods is for training a machine learning model configured to predict a post optical proximity correction (OPC) image for a mask. The method involves obtaining (i) a pre-OPC image associated with a design layout to be printed on a substrate, (ii) an image of one or more assist features for the mask associated with the design layout, and (iii) a reference post-OPC image of the design layout; and training the machine learning model using the pre-OPC image and the image of the one or more assist features as input such that a difference between the reference image and a predicted post-OPC image of the machine learning model is reduced.

Abstract: A method for training a machine learning model to generate a characteristic pattern, the method includes obtaining training data associated with a reference feature in a reference image. The training data includes (i) location data of each portion of the reference feature, and (ii) a presence value indicating whether the portion of the reference feature is located within a reference assist feature generated for the reference feature. The method includes training the machine learning model to predict a presence value based on the actual presence value in the training data. The predicted presence value indicates whether a portion of a feature (e.g., a skeleton point on a skeleton of a contour of the feature) is to be covered by an assist feature. The training is performed based on the training data such that a metric between a predicted presence value and the presence value is minimized.

Abstract: LiDAR, data processing method, and light detection and data acquisition and processing device are proved. In one aspect, a LiDAR includes: a transmitter device configured to transmit a detection light beam for detecting an object, a detector device comprising a plurality of detector units, a first detector unit of the plurality of the detector units comprising a first pixel array, the first pixel array comprising a first pixel configured to convert an echo into a first electrical signal, and a second pixel adjacent to the first pixel and configured to convert the echo into a second electrical signal, a data processor device coupled with the detector device and configured to reconstruct the first electrical signal and the second electrical signal to obtain a first reconstructed signal array comprising a first reconstructed electrical signal, and determine a point cloud based on the first reconstructed signal array.

Abstract: An apparatus includes a memory die having a 3D memory structure that includes nonvolatile memory cells in an array area. The nonvolatile memory cells are connected by word lines and bit lines. The word lines are connected to vertical word line vias in a staircase area adjacent to the array area. The vertical word line vias include a first plurality of vertical word line vias connected to first word line bond pads in the staircase area and a second plurality of vertical word line vias connected to second word line bond pads in the array area.

Abstract: The disclosure provides a LiDAR, which includes a transmitting device configured to transmit a detection light beam for detecting an object, a detection device including a plurality of detection units, each detection unit including an array of pixels, a control device coupled to the transmitting device and the detection device and configured to control the transmitting device to transmit the detection light beam, and correspondingly control one of the detection units to perform detection, and a data processing device coupled to the detection device and configured to, for at least one of the pixels, determine an echo electrical signal based on an electrical signal generated from the pixel and electrical signals generated from other pixels in the same detection unit by the transmitting device consecutively transmitting the detection light beams a plurality of times, and determine information about the object based on the echo electrical signal.

Abstract: A method for training a machine learning model to generate a characteristic pattern, the method includes obtaining training data associated with a reference feature in a reference image. The training data includes (i) location data of each portion of the reference feature, and (ii) a presence value indicating whether the portion of the reference feature is located within a reference assist feature generated for the reference feature. The method includes training the machine learning model to predict a presence value based on the actual presence value in the training data. The predicted presence value indicates whether a portion of a feature (e.g., a skeleton point on a skeleton of a contour of the feature) is to be covered by an assist feature. The training is performed based on the training data such that a metric between a predicted presence value and the presence value is minimized.

Abstract: Training methods and a mask correction method. One of the methods is for training a machine learning model configured to predict a post optical proximity correction (OPC) image for a mask. The method involves obtaining (i) a pre-OPC image associated with a design layout to be printed on a substrate, (ii) an image of one or more assist features for the mask associated with the design layout, and (iii) a reference post-OPC image of the design layout; and training the machine learning model using the pre-OPC image and the image of the one or more assist features as input such that a difference between the reference image and a predicted post-OPC image of the machine learning model is reduced.

Abstract: Provided are a CD80 protein variant and a fusion protein comprising the CD80 protein variant, which can bind to PD-L1, CTLA-4 and CD28, activate the activity of T lymphocytes, and inhibit the growth and/or proliferation of tumors or tumor cells. Also provided are a nucleic acid encoding the fusion protein, a vector comprising the fusion protein, a cell comprising the nucleic acid or the vector, a method for preparing the fusion protein, and use of the fusion protein.

Abstract: Apparatus, media, methods, and systems for data storage systems and methods for self-adaptive chip-enable setup time. A data storage system may comprise one or more non-volatile memory device and a controller. The controller is configured to determine whether a command to a first non-volatile memory device of the one or more non-volatile memory devices is dropped. The controller is configured to, when the command to the first non-volatile memory device is determined to be dropped, update a first counter value indicating a number of commands to the first non-volatile memory device that are dropped. The controller is configured to, when the command to the first non-volatile memory device is determined to be dropped, increase a value of a chip-enable setup time parameter for the first non-volatile memory device by a first time duration, based on at least one of the first counter value and one or more parameter values of the first non-volatile memory device.

Abstract: Provided is a binding molecule specific for LIF and use thereof. Specifically, provided is an isolated antibody or an antigen-binding fragment thereof that binds to LIF and inhibits the activity of LIF. Also provided are uses of the isolated antibody or the antigen-binding fragment thereof in treatment of diseases.

Abstract: The present application discloses a multi-spectral fundus imaging system and method using dynamic visual stimulation, where the imaging system includes: a multi-spectral light source capable of emitting multiple different wavelengths; a mid-pass mirror being a reflecting mirror with a central hole penetrating the reflecting mirror; an imaging focusing lens group; an image acquisition device; and a controller configured to control the multi-spectral light source and the image acquisition device to work synchronously; a pattern sent by the optical stimulation device is transmitted to the fundus through the image focusing lens group and the central hole of the mid-pass mirror in sequence; an imaging light reflected from the fundus passes through the central hole of the mid-pass mirror and the imaging focusing lens group in sequence; the image acquisition device acquires the image to complete a multi-spectral fundus image acquisition.

Abstract: A power supply circuit, a driving method thereof, a printed circuit board, a display module and a display apparatus are disclosed, which relates to a technical field of displaying. The power supply circuit includes a first power management chip and a second power management chip configured to be respectively connected with a display panel and provide different driving signals to the display panel, and the driving signals are configured for driving the display panel to display.

Abstract: The present disclosure relates to an electronic device, a method, a medium, and a program for switching parental control modes. The electronic device includes: a memory having an instruction stored thereon; and a processor configured to execute the instruction stored on the memory to cause the electronic device to carry out the following operations: determining which control mode of a plurality of control modes a first terminal device connected to the electronic device should be in, the plurality of control modes including a first parental control mode set with a first parental control profile, a second parental control mode set with a second parental control profile, and a common mode set with a common profile; and enabling the determined control mode by applying the profile of the determined control mode to the first terminal device.

Abstract: A water culture device for peony is provided. The water culture device for peony includes an incubator. The incubator is internally provided with a sliding rack at a middle position. A servo motor is arranged on a right side of the incubator. Second rotating shaft levers are arranged on left and right sides of the incubator. Since the locating clips on the regulating levers and the planting baskets on the sliding rack are used cooperatively, the peony plants can be blossomed and positioned. Moreover, a downward putting action of the planting basket and a location clamping action of the locating clip are combined together and performed in one time through mechanical transmission, so that the trouble of stepwise operation is omitted, and the culture efficiency of peony plants is effectively promoted.

Abstract: A driving control apparatus, a driving control method and a display apparatus. When a display panel is in a power-on state and it is determined that a user leaves the display panel, a backlight stop signal (VBN) is first output, and a voltage stop signal (VPN) is then output. A backlight control circuit (320) stops operating in response to the backlight stop signal. In response to the voltage stop signal, a power switching circuit (330) stops outputting a driving voltage for driving the display panel to display a picture. When determining that the user returns to the front of the display panel, a voltage start signal (VPQ) can first be output, and a backlight start signal (VBQ) is then output. The backlight control circuit starts to operate in response to the backlight start signal. The power switching circuit outputs the driving voltage in response to the voltage start signal.