Abstract: Provided is a display panel, including: a substrate provided with a display region and a non-display region disposed at a periphery of the display region; a plurality of first power signal lines and a plurality of drive signal lines that are disposed in the display region; and a power connection bus, a plurality of first fan-out leads, and a plurality of second fan-out leads that are disposed in the non-display region, wherein the power connection bus is electrically connected to the first power signal line and the first fan-out lead respectively; the plurality of second fan-out leads are electrically connected to the plurality of drive signal lines in a one-to-one correspondence; each first fan-out lead is disposed between every two adjacent second fan-out leads; and the plurality of first fan-out leads and the plurality of second fan-out leads are both configured to be electrically connected to a driving chip.

Abstract: Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.

Abstract: Embodiments of the invention include a computer-implemented method that includes accessing, using a processor, a loader library; using the processor to generate a mock library comprising a mock version of the loader library; using the processor to containerize the loader library; and using the processor to unload the loader library.

Abstract: Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.

Abstract: Systems and methods for dynamic demand sensing in a supply chain in which constantly-updated data is used to select a machine learning model or retrain a pre-selected machine learning model, for forecasting sales of a product at a specific location. The updated data includes product information and geographic information.

Abstract: A method and device for generating a three dimensional (3D) bounding box of a region of interest (ROI) of a patient include receiving a two dimensional (2D) maximum intensity projection (MIP) image that is an axial view of the patient and a 2D MIP image that is a sagittal view of the patient. A first 2D bounding box of the ROI of the patient and a second 2D bounding box of the ROI of the patient are detected using the 2D MIP images. A 3D MIP image of the patient is received, and the 3D bounding box of the ROI of the patient is generated using the 3D MIP image, the first 2D bounding box, and the second 2D bounding box. The 3D MIP image including the 3D bounding box is provided.

Abstract: There is provided an image processing device including a light sensor and a processor. The light sensor is used to detect light and output an image frame. The processor identifies intensity of ambient light according to an image parameter associated with the image frame. When the ambient light is identified to be strong enough, the processor performs an object identification directly using the image frame. When the ambient light is identified to be not enough, the processor firstly converts the image frame to a converted image using a machine learning model, and then performs the object identification using the converted image.

Abstract: A pile-side lateral static load device includes a jack system, a liftable jack cart, a loading jack fixing system, and a loading system. The jack system includes a jack body. The jack system is installed on the liftable jack cart through the loading jack fixing system. The loading system is installed on the loading jack fixing system, and the loading system includes counter-pressure loading systems and counter-tension loading systems. The pile-side lateral static load device has a simple structure, is convenient to install and operate, and can complete lateral loading and in-situ tests under different pile diameters, different tonnages and different precisions, so as to facilitate a simulation test of in-situ lateral loading of a pile.

Abstract: A method for graph data processing comprises obtaining graph data which includes a plurality of nodes and data corresponding to the plurality of nodes respectively; classifying the plurality of nodes into at least one category of a plurality of categories, wherein the plurality of categories are associated with a plurality of node relationship patterns; determining, from a plurality of candidate parameter value sets of a graph convolutional network (GCN) model, parameter value subsets respectively matching at least one category, wherein the plurality of candidate parameter value sets are determined by training the GCN model respectively for the plurality of node relationship patterns; and using the parameter value subsets respectively matching the at least one category to respectively perform a graph convolution operation in the GCN model on data corresponding to the nodes classified into the at least one category to obtain a processing result for the graph data.

Abstract: A kinetic sculpture and an intelligent control system are provided which comprise a plurality of movable bases (500), and the movable bases are arranged radially along a circumferential direction around a centerline disposed vertically; a bearing unit (400) is mounted on each of the movable bases (500), a vertical column (100) is mounted on the bearing unit (400), and a blade unit (200) is disposed on the column (100); the bearing units (400) move the columns (100) along the moving paths on the respective movable bases toward the position of the centerline or away from the position of the centerline to achieve combination or separation; the column systems correspondingly control each of the columns (100) to move. The kinetic sculpture enables the blades (201) of the kinetic sculpture to present a contour shape in gathered and separated states.

Abstract: Systems and methods here may be used for a laser inscriber or engraver of a gemstone using software feedback loops and multiple cameras to auto focus the system and automate the inscription.

Abstract: The technology of this application relates to a flow characteristic extraction method and apparatus, and belongs to the field of network technologies. The method includes a network device that determines a burst parameter of a burst traffic segment of a received first packet flow, and determines a burst parameter of the first packet flow based on the burst parameter of the burst traffic segment of the first packet flow. The first packet flow is an elephant flow, the burst traffic segment indicates a burst degree of traffic within one period of time, the burst parameter of the burst traffic segment is a parameter used to describe the burst traffic segment, and the burst parameter of the first packet flow is a parameter used to describe at least one burst traffic segment included in the first packet flow.

Abstract: A method for reducing noise includes: obtaining an air conduction noise reduction parameter and a bone conduction noise reduction parameter, the air conduction noise reduction parameter being obtained by integrating an air conduction parameter of the current frame and an air conduction noise parameter of the current frame, and the bone conduction noise reduction parameter being obtained by integrating a bone conduction parameter of the current frame and a bone conduction noise parameter of the current frame; calculating a priori signal-to-noise ratio of air-bone integration according to the bone conduction parameter of the current frame and the air conduction noise parameter of the current frame; and performing noise reduction operation according to the priori signal-to-noise ratio of air-bone integration, the air conduction noise reduction parameter and the bone conduction noise reduction parameter.

Abstract: A semiconductor device structure includes a source/drain feature comprising a first surface, a second surface opposing the first surface, and a sidewall connecting the first surface to the second surface. The structure also includes a dielectric layer having a continuous surface in contact with the entire second surface of the source/drain feature, a semiconductor layer having a first surface, a second surface opposing the first surface, and a sidewall connecting the first surface to the second surface, wherein the sidewall of the semiconductor layer is in contact with the sidewall of the source/drain feature. The structure also includes a gate dielectric layer in contact with the continuous surface of the dielectric layer and the second surface of the semiconductor layer, and a gate electrode layer surrounding a portion of the semiconductor layer.

Abstract: A short-circuit protection apparatus includes a first detection branch, a second detection branch, and a controller. The first detection branch includes a first sampling resistor and a first sampling capacitor that is connected in parallel to the first sampling resistor. A difference between an absolute value of a second sampling voltage and an absolute value of a first sampling voltage is a first difference. The controller obtains a comparison result between an absolute value of a first sampling voltage at two terminals of the first sampling resistor and an absolute value of a second sampling voltage at two terminals of the second sampling resistor, and if a difference between the absolute value of the second sampling voltage and the absolute value of the first sampling voltage is a second difference and the second difference is less than the first difference, controls the target circuit to stop working.

Abstract: A method for monitoring defects of a product implemented in an electronic device obtains product data in real time and determines whether a product is defective based on the product data; when the product is defective, outputting first warning information based on the number of defects of the product which satisfy a first preset condition; obtaining a rate of defects of the product every first preset time period, and outputting second warning information based on the rate of defects of the product when the rate of defects satisfies at least one of a second, third, and fourth preset conditions; when any warning information is output, analyzing distribution of the defects of the product; and predicting at least one cause of each defect of the product according to historical maintenance data of the product and a self-learning record of the electronic device.

Abstract: A method for reducing noise includes: obtaining a priori signal-to-noise ratio of air-bone integration, the priori signal-to-noise ratio of air-bone integration being obtained by integrating air conduction parameters of the current frame, bone conduction parameters of the current frame and air conduction noise parameters of the current frame; calculating a noise reduction gain according to the priori signal-to-noise ratio of air-bone integration; and performing noise reduction operation according to the noise reduction gain and the air conduction parameters of the current frame.

Abstract: Disclosed are organic electroluminescent material and device. The organic electroluminescent material is a metal complex with a structure of Formula 1. These novel metal complexes can be used in electroluminescent device, and show more excellent performance, for example, they can reduce the driving voltage and full width at half maximum, obtain more saturated light emission, improve the efficiency and the lifetime of the device, and finally, it can improve the comprehensive performance of the device significantly.

Abstract: A method for displaying item information includes: displaying by an audience terminal, category information corresponding to a combined item object and an interaction operation control on an item display interface of a live broadcast room, in which the interaction operation control is configured to view basic information of sub-item objects and the combined item object includes at least two sub-item objects of the same category; in response to a trigger operation of the interaction operation control, determining by the audience terminal, a target sub-item object matching specified geographic information of the audience terminal from the at least two sub-item objects; and displaying by the audience terminal, basic information corresponding to the target sub-item object on the item display interface.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for analyzing samples. The method includes acquiring a set of feature representations associated with a set of samples. The set of samples illustratively have classification information for indicating classifications of the set of samples. The method further includes adjusting the set of feature representations so that distances between feature representations of samples corresponding to the same classification are less than a first distance threshold. The method further includes training a classification model based on the adjusted set of feature representations and the classification information. The classification model is illustratively configured to receive an input sample and determine a classification of the input sample. In this manner, a relatively accurate classification model can be trained using a small number of samples, thereby reducing computation time and required computation capacity.