Abstract: Embodiments of the present disclosure provide a method and device for selecting a context model of a quantized coefficient end flag. The method comprises: obtaining a scanning position POS of a non-zero coefficient corresponding to current quantized coefficient end flag in a specific scanning order; wherein the scanning position POS is a subscript of the non-zero coefficient in the scanning order; configuring a first context model array, and using a fixed value as the base to calculate the logarithmic value of the value of the scanning position POS plus 1, and according to the logarithmic value, selecting a first context model from the first context model array; and using the first context model to encode or decode a binary symbol of the current quantized coefficient end flag. According to the technical solution of the present application, it is able to improve encoding and decoding efficiency for a quantized coefficient end flag, thereby further improve the efficiency of video encoding and decoding.

Abstract: An organic field-effect transistor and a fabrication method therefor, including: providing a gate; depositing polymer material onto the gate to form a dielectric layer; performing supercritical fluids treatment on the gate having the dielectric layer deposited; depositing organic semiconductor layer material on the dielectric layer having been processed, to form an organic semiconductor layer; depositing electrode layer material on the organic semiconductor layer and forming an electrode layer. The dielectric properties of the dielectric layer after adopting the supercritical fluids treatment have been significantly improved. While the hysteresis effect of the dielectric layers in the OFET devices has been basically eliminated, the sub-threshold slope of the OFET is also significantly reduced, the carrier mobility is effectively improved. Additionally, an OFET switching rate after being processed is improved, and, by connecting the LEDs in series, the switching rate of the LED is increased.

Abstract: An embodiment of the present description provides a decoding method and device for a quantization block as well as an electronic device.

Abstract: A self-adaptive point cloud stripe division method. The method comprises: firstly, carrying out space division with a certain depth on a point cloud to obtain a plurality of local point clouds; then, counting the number of points in each of the local point clouds, comparing same with an upper and lower limit for the number of stripe points, and determining whether the number of points satisfies a requirement; and after a series of re-segmentation or re-fusion operations on the local point clouds, adjusting the number of points in each of the local point clouds until the number of points satisfies a range, thereby obtaining a final point cloud stripe. A plurality of local structures capable of being independently coded and decoded are obtained by means of division of a point cloud stripe, and this supports parallel processing, enhances system fault tolerance, and improves coding efficiency.

Abstract: A method, system, device and computer-readable storage medium for inverse quantization. The method comprises: determining an initial weighted inverse quantization matrix, wherein, the initial weighted inverse quantization matrix is the same as the quantized block in size; setting some matrix elements in the initial weighted inverse quantization matrix to zero to obtain a weighted inverse quantization matrix, wherein, determining the matrix elements that need to be zeroed according to the size of the quantized block; weighted inverse quantizing the quantized coefficients in the quantized block to generate corresponding inverse transform coefficients, wherein, the value of the matrix element corresponding to the position of the quantized coefficient in the weighted inverse quantization matrix is used as a weight coefficient of the weighted inverse quantization.

Abstract: The present disclosure relates to a method of synthesizing cyclosporine derivatives. The method includes: providing a precursor fluid of the cyclosporine derivative, an alkaline fluid and a ClCH2OCOCl solution; premixing the precursor fluid and the alkaline fluid to obtain a premixed solution; feeding the premixed solution into a first reaction chamber, reacting to prepare a first reaction liquid; feeding the first reaction liquid into a second reaction chamber, reacting the first reaction liquid with a CO2 fluid to prepare a second reaction liquid; and reacting the second reaction liquid with the ClCH2OCOCl solution.

Abstract: Embodiments of the present application provide a method and a device of inverse tone mapping and an electronic device. The method includes: obtaining one or more low dynamic range images; performing a decomposition operation to the low dynamic range image to acquire a detail layer and a basic layer of the low dynamic range image; restoring the detail layer and the basic layer by using a predetermined first restoration network and a second restoration network to acquire restored detail layer and basic layer; and adjusting the restored detail layer and basic layer by using a predetermined fusion network to acquire an adjusted high dynamic range image. With the technical solution of the present application, the conversion from a low dynamic range image to a high dynamic range image can be more robustly completed without complicated parameter settings.

Abstract: Disclosed are method and an apparatus for analysis of an interface state of a MIS-HEMT device.

Abstract: Disclosed are a method and a device for determining a task-driven pruning module, and a computer readable storage medium. The method includes: obtaining an input task and a task quantity of a neural network to be pruned, and output information of a component module of the neural network to be pruned; determining a task correlation degree of the component module according to the input task, the task quantity and the output information; determining an input information retention degree of the component module according to the task quantity and the output information; determining an importance index value of the component module according to the task correlation degree and the input information retention degree; and determining the pruning module in the neural network to be pruned according to the importance index value.

Abstract: The present application provides a small-molecule inhibitor targeting an EB virus nuclear antigen protein, and/or a pharmaceutical composition containing the same, which can be used for the treatment of a disease caused by EBNA1 activity, such as, but not limited to, cancer, infectious mononucleosis, chronic fatigue syndrome, multiple sclerosis, systemic lupus erythematosus and/or rheumatoid arthritis. The present application further provides a small-molecule inhibitor targeting an EB virus nuclear antigen protein, and/or a pharmaceutical composition containing the same, which can be used for the treatment of a disease caused by EBV infection in a lytic and/or latent phase.

Abstract: A compound of Formula I compound—Ovatodiolide which is safe and effective to use in a pharmaceutical composition for inhibition of SARS-CoV-2 is provided. The pharmaceutical composition comprising a safe and effective amount of a compound of Formula I compound—Ovatodiolide or pharmaceutically acceptable salts thereof, together with a pharmaceutically acceptable carrier, which has great potential to treat SARS-CoV-2 induced COVID-19 based on a safe and effective amount of a compound of Formula I compound—Ovatodiolide.

Abstract: An organic field-effect transistor and a fabrication method therefor, including: providing a gate; depositing polymer material onto the gate to form a dielectric layer; performing supercritical fluids treatment on the gate having the dielectric layer deposited; depositing organic semiconductor layer material on the dielectric layer having been processed, to form an organic semiconductor layer; depositing electrode layer material on the organic semiconductor layer and forming an electrode layer. The dielectric properties of the dielectric layer after adopting the supercritical fluids treatment have been significantly improved. While the hysteresis effect of the dielectric layers in the OFET devices has been basically eliminated, the sub-threshold slope of the OFET is also significantly reduced, the carrier mobility is effectively improved. Additionally, an OFET switching rate after being processed is improved, and, by connecting the LEDs in series, the switching rate of the LED is increased.

Abstract: A wafer level ultrasonic chip module includes a substrate, a composite layer, a conducting material, and a base material. The substrate has a through slot that passes through an upper surface of the substrate and a lower surface of the substrate. The composite layer includes an ultrasonic body and a protective layer. A lower surface of the ultrasonic body is exposed from the through slot. The protective layer covers the ultrasonic body and a partial upper surface of the substrate. The protective layer has an opening, from which a partial upper surface of the ultrasonic body is exposed. The conducting material is in contact with the upper surface of the ultrasonic body. The base material covers the through slot, such that a space is formed among the through slot, the lower surface of the ultrasonic body and an upper surface of the base material.

Abstract: The present invention relates to a compound of Formula (I)/(II) or pharmaceutically acceptable salts thereof. In Formula (I), Rh, Rg, Rf, m, Re, Rd, Ra, Rb, and Rc are as defined in the description. The present invention further relates to a pharmaceutical composition comprising the compound of Formula (I)/(II) or pharmaceutically acceptable salts thereof, and use of the compound of Formula (I)/(II) or the pharmaceutical composition in the manufacture of a medicament for treating inflammations such as rheumatoid arthritis.

Abstract: Disclosed is an optimization method for constructing a target detection network. The method includes: obtaining high-quality visual media data, low-quality visual media data corresponding to the high-quality visual media data, and a corresponding true label, extracting a first backbone network side output feature generated by a preset prior network for the high-quality visual media data, and extracting a second backbone network side output feature generated by a preset target detection network to be trained for the low-quality visual media data; constructing a feature correlation loss, a salient target position loss and a salient prediction loss based on the first backbone network side output feature, the second backbone network side output feature, and the true label; and optimizing the preset target detection network to be trained based on the feature correlation loss, the salient target position loss, and the salient prediction loss to obtain the target detection network.

Abstract: The invention discloses a point cloud geometric compression method based on a depth auto-encoder, which comprises the following steps of: (1) point cloud preprocessing: collecting a type of point cloud to be compressed as a training set, and normalizing the training set into a unit circle; (2) point cloud down-sampling: down-sampling the point clouds in the training set so that each point cloud have the same point number m and each point in the point cloud has (x, y, z) three-dimensional coordinates; and adopting a farthest point down-sampling method by randomly selecting a point for the first time and then selecting the point farthest away from the selected point set every time to add into the selected point set until the selected point number meets the requirement; (3) training a compression model: inputting the point cloud sampled in step (2) into a point cloud geometric compression framework based on a depth auto-encoder for training; and (4) geometric compression of the point cloud: applying the trained

Abstract: A wafer level ultrasonic chip module includes a substrate, a composite layer and a base material. The substrate has a through slot passing through an upper surface and a lower surface of the substrate. The composite layer includes an ultrasonic body and a protective layer. A lower surface of the ultrasonic body is exposed from the through slot. The protective layer covers the ultrasonic body and a partial upper surface of the substrate. The composite layer has a groove passing through an upper surface and a lower surface of the protective layer, and communicating with the through slot. The ultrasonic body corresponds to the through slot. The base material covers the through slot, such that a space is formed among the through slot, the lower surface of the ultrasonic body and an upper surface of the base material.

Abstract: A wafer scale ultrasonic sensor assembly includes a wafer substrate, an ultrasonic element, first and second protective layers, conductive wires, a transmitting material, an ASIC, a conductive bump, and a soldering portion. The wafer substrate includes a via. The ultrasonic element is exposed to the via. The conductive wires are on the first protective layer and connected to the ultrasonic element. The second protective layer covers the conductive wires, and the second protective layer has an opening corresponding to the ultrasonic element. The transmitting material contacts the ultrasonic element. The ASIC is connected to the wafer substrate, so that the via forms a space between the ASIC and the ultrasonic element. The conductive pillar is in a via defined through the ASIC, the wafer substrate, and the first protective layer, and the conducive pillar is respectively connected to the conductive wires and the soldering portion.

Abstract: An embodiment of the present disclosure discloses an intra-prediction-based encoding and decoding method, apparatus and filter, and belongs to a video coding technical field.

Abstract: The present application discloses a cross-media retrieval method based on deep semantic space, which includes a feature generation stage and a semantic space learning stage. In the feature generation stage, a CNN visual feature vector and an LSTM language description vector of an image are generated by simulating a perception process of a person for the image; and topic information about a text is explored by using an LDA topic model, thus extracting an LDA text topic vector. In the semantic space learning phase, a training set image is trained to obtain a four-layer Multi-Sensory Fusion Deep Neural Network, and a training set text is trained to obtain a three-layer text semantic network, respectively. Finally, a test image and a text are respectively mapped to an isomorphic semantic space by using two networks, so as to realize cross-media retrieval. The disclosed method can significantly improve the performance of cross-media retrieval.