Abstract: A machine learning model is trained using past estimations of transit time and actual observed transit times. Other training features can include day-of-the-week of load, hour-of-the-day of load, load locations, and carrier identifier. Subsequent planning can invoke the machine learning model, which can predict an actual transit time. The technologies can be integrated into track and trace functionality. Useful for improving planning and assisting inexperienced users.

Abstract: A component for a vehicle interior may comprise a display system comprising a light source and a composite structure comprising a base layer, an intermediate layer and a cover layer. The base layer may comprise a surface comprising a set of elements. The composite structure may present a composite visual effect contributed by the composite structure and/or a visual effect contributed by light from the light source. The visual effect contributed by the composite structure may comprise a visual effect without light from the light source and/or a visual effect with light from the light source transmitted through the composite structure. The composite visual effect of the display system may comprise a visual effect of the form/elements of the base layer and/or the form/visual object/pattern of the intermediate layer and/or the form/visual object/pattern of the cover layer.

Abstract: A method may include detecting an occurrence of a logistic exception during a fulfilment cycle of an order. An impact of the logistic exception may be determined based on a tracking model having a plurality of interconnected tracking objects. The plurality of interconnected tracking objects may include a first tracking object corresponding to the order, a second tracking object corresponding to an order item included in the order, a third tracking object corresponding to a delivery order item corresponding to the order item, a fourth tracking object corresponding to a first delivery order including the delivery order item, and a fifth tracking object corresponding to a transport event including the delivery order. One or more of the plurality of interconnected tracking objects may be updated based at least on the impact of the logistic exception. Related systems and computer program products are also provided.

Abstract: An object detection model generation method as well as an electronic device and a computer readable storage medium using the same are provided. The method includes: during the iterative training of the to-be-trained object detection model, the detection accuracy of the iteration nodes of the object detection model is sequentially determined according to the node order, and the mis-detected negative samples of the object detection model at the iteration nodes with the detection accuracy less than or equal to a preset threshold are enhanced. Then the object detection model is trained at the iteration node based on the enhanced negative samples and a first amount of preset training samples. After the training at the iteration nodes are completed, it returns to the step of sequentially determining the detection accuracy of the iteration nodes of the object detection model until the training of the object detection model is completed.

Abstract: A pixel circuit includes a capacitor, a light emitting control transistor, a driving transistor, and multiple light emitting transistors. The light emitting control transistor includes a gate electrode coupled to a light emitting control signal, a source electrode coupled to a supply voltage, and a drain electrode. The driving transistor includes a gate electrode coupled to the capacitor, a source electrode coupled to the drain electrode of the light emitting control transistor, and a drain electrode. Each light emitting transistor includes a gate electrode coupled to a respective light emitting signal, a source electrode coupled to the drain electrode of the driving transistor, and a drain electrode coupled to a respective light emitting element. Each light emitting signal turns on the respective light emitting transistor during a respective light emitting period within a frame period to cause the respective light emitting element to emit a light.

Abstract: A method for detecting blurriness of a human face in an image includes: performing a face detection in a target image; when a human face is detected in the target image, cropping the human face from the target image to obtain a face image and inputting the face image to a first neural network model to perform preliminary detection on a blurriness of the human face in the face image to obtain a preliminary detection result; and when the preliminary detection result meets a deep detection condition, inputting the face image to a second neural network model to perform deep detection on the blurriness of the human face in the face image to obtain a deep detection result.

Abstract: A pixel circuit includes a capacitor, a light emitting control transistors, a driving transistor, and multiple light emitting transistors. The light emitting control transistor includes a gate electrode coupled to a light emitting control signal, a source electrode coupled to a supply voltage, and a drain electrode. The driving transistor includes a gate electrode coupled to the capacitor, a source electrode coupled to the drain electrode of the light emitting control transistor, and a drain electrode. Each light emitting transistor includes a gate electrode coupled to a respective light emitting signal, a source electrode coupled to the drain electrode of the driving transistor, and a drain electrode coupled to a respective light emitting element. Each light emitting signal turns on the respective light emitting transistor during a respective light emitting period within a frame period to cause the respective light emitting element to emit a light.

Abstract: A vehicle interior component configured to provide an illuminated display/image and comprising a composite structure is disclosed. The component may comprise a cover providing a surface for the illuminated display/image and a substrate; the cover may comprise a cover layer, bottom layer and/or intermediate layer. The cover layer may comprise a surface layer and a base layer. The base layer and/or bottom layer may comprise a reinforcing layer. The surface layer, cover layer and/or base layer may comprise a pigment. The surface layer, cover layer and/or bottom layer may comprise a colorant (or pigment, dye, etc.). The bottom layer may comprise a pattern region comprising the image, a mask and/or light-blocking layer. The composite structure may comprise the cover, a functional layer, spacer/buffer layer, diffuser layer, sensor grid, capacitive sensor, textile and/or base/substrate. The cover surface may comprise a skin.

Abstract: A component for a vehicle interior may comprise a display system comprising a light source and a composite structure comprising a base layer, an intermediate layer and a cover layer. The base layer may comprise a surface comprising a set of elements. The composite structure may present a composite visual effect contributed by the composite structure and/or a visual effect contributed by light from the light source. The visual effect contributed by the composite structure may comprise a visual effect without light from the light source and/or a visual effect with light from the light source transmitted through the composite structure. The composite visual effect of the display system may comprise a visual effect of the form/elements of the base layer and/or the form/visual object/pattern of the intermediate layer and/or the form/visual object/pattern of the cover layer.

Abstract: A binding device for indicating the amount of negative pressure suction to use in a binding operation to treat hemorrhoids. The device is simple and convenient to use, and allows for more accurate binding operations. The binding device has a shell, a pushing pipe at the shell's front end, and a suction tube in the pushing pipe. A negative pressure device is in the shell. A scale cylinder has a cylinder body divided into two cavities and a piston piece within. The negative pressure device has a suction port in communication with the rear end of the suction tube and connected with one of the cylinder cavities. The cylinder body can move relative to the shell, and the shell has a scale part corresponding to that movement. The binding part is sleeved at the front end of the suction tube.

Abstract: A wearable apparatus for display glasses is provided. According to certain embodiments, the apparatus includes a display configured to provide a display of information that includes at least two options for selection. The apparatus further includes an electromyograph device and a processor. The electromyograph device is configured to track muscle activity of a wearer of the display glasses. The processor is configured to determine a plurality of events based on the muscle activity. The plurality of events are associated with at least one of types of the muscle activity, occurring numbers of the types of the muscle activity, or occurring time of the types of the muscle activity. One of the at least two options is identified based on the plurality of events.

Abstract: The present disclosure discloses a WDR5 protein-protein interaction inhibitor, including a compound having a structure represented by general formula (I). Experiments show that the inhibitor acts on a WDR5 protein and an interacting protein thereof including, but not limited to, MLL, selectively inhibits the proliferation of leukemia cells, and inhibits the methylation of H3K4 and the expression of downstream Hox/Meis-1 gene at the cellular level. The present disclosure also discloses a method for preparing the inhibitor and use thereof in the preparation of a drug for treating acute leukemia and other related diseases.

Abstract: A system for compensating display data of an image includes a display, a processor, and control logic operatively coupled to the display and the processor. The display has a plurality of pixels. The processor includes a graphics pipeline configured to generate a set of original display data of the image for a plurality of frames. The processor also includes a pre-processing module configured to determine a still portion of the set of original display data, and generate a set of compensation data for the still portion of the set of original display data. The set of compensation data includes a plurality of sub-sets of compensation data for the plurality of frames. The processor also includes a data transmitter configured to transmit, in each one of the plurality of frames, a stream of display data including one of the plurality of sub-sets of the compensation data.

Abstract: A method for detecting blurriness of a human face in an image includes: performing a face detection in a target image; when a human face is detected in the target image, cropping the human face from the target image to obtain a face image and inputting the face image to a first neural network model to perform preliminary detection on a blurriness of the human face in the face image to obtain a preliminary detection result; and when the preliminary detection result meets a deep detection condition, inputting the face image to a second neural network model to perform deep detection on the blurriness of the human face in the face image to obtain a deep detection result.

Abstract: An object detection model generation method as well as an electronic device and a computer readable storage medium using the same are provided. The method includes: during the iterative training of the to-be-trained object detection model, the detection accuracy of the iteration nodes of the object detection model is sequentially determined according to the node order, and the mis-detected negative samples of the object detection model at the iteration nodes with the detection accuracy less than or equal to a preset threshold are enhanced. Then the object detection model is trained at the iteration node based on the enhanced negative samples and a first amount of preset training samples. After the training at the iteration nodes are completed, it returns to the step of sequentially determining the detection accuracy of the iteration nodes of the object detection model until the training of the object detection model is completed.

Abstract: A wearable apparatus for display glasses is provided. According to certain embodiments, the apparatus includes a display configured to provide a display of information that includes at least two options for selection. The apparatus further includes an electromyograph device and a processor. The electromyograph device is configured to track muscle activity of a wearer of the display glasses. The processor is configured to determine a plurality of events based on the muscle activity. The plurality of events are associated with at least one of types of the muscle activity, occurring numbers of the types of the muscle activity, or occurring time of the types of the muscle activity. One of the at least two options is identified based on the plurality of events.

Abstract: A vehicle interior component configured to provide an illuminated display/image and comprising a composite structure is disclosed. The component may comprise a cover providing a surface for the illuminated display/image and a substrate; the cover may comprise a cover layer, bottom layer and/or intermediate layer. The cover layer may comprise a surface layer and a base layer. The base layer and/or bottom layer may comprise a reinforcing layer. The surface layer, cover layer and/or base layer may comprise a pigment. The surface layer, cover layer and/or bottom layer may comprise a colorant (or pigment, dye, etc.). The bottom layer may comprise a pattern region comprising the image, a mask and/or light-blocking layer. The composite structure may comprise the cover, a functional layer, spacer/buffer layer, diffuser layer, sensor grid, capacitive sensor, textile and/or base/substrate. The cover surface may comprise a skin.

Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.

Abstract: An apparatus can be provided for display glasses with securely displayed data. The apparatus can include a receiver configured to receive a signal containing formatted encoded display data and to extract encoded display data from the signal. The apparatus can include a decoder configured to decode the encoded display data to provide display data. The apparatus can further include a display configured to display the display data. The display can include glasses and the decoder can be configured to decode the encoded display data when the glasses are authorized to receive display data from a remote device.

Abstract: An apparatus includes a graphics pipeline and a pixel data reordering module. The graphics pipeline is configured to generate a plurality pieces of pixel data of a frame. The plurality pieces of pixel data of the frame are associated with a first order in which the plurality pieces of pixel data of the frame are to be provided to a display panel having an array of pixels. Each piece of pixel data of the frame corresponds to one pixel of the array of pixels. The array of pixels are divided into a plurality of groups of pixels. The pixel data reordering module is configured to cause the plurality pieces of pixel data of the frame to be obtained by the display panel in a second order. The second order is determined based on at least a manner in which the array of pixels are divided into the groups of pixels.