Abstract: A test interface circuit includes N switches and N resistors, wherein N is a positive integer. A first end of each of the N switches is coupled to each of N test connection ends, a second end of each of the N switches receives a reference voltage. Each of the N first resistors is coupled to each of the N switches in series between each of the N test connection ends and the reference voltage. Wherein, each of the N switches is controlled by each of N control signals to be turned on or cut off.

Abstract: The present disclosure provides a quantum dot light-emitting diode (QLED) and a preparation method thereof. The QLED includes an anode and a cathode that are oppositely arranged, a quantum dot luminescent layer arranged between the anode and the cathode, and an electron transport layer (ETL) arranged between the quantum dot luminescent layer and the cathode. The ETL includes a first ETL, and the first ETL is a zinc oxide film with a surface hydroxyl content of less than or equal to 0.4. Alternatively, the ETL includes zinc oxide, and at least a part of a surface of the zinc oxide includes an amino ligand and/or a carboxyl ligand with 3 to 7 carbon atoms. In the present application, the QLED improves a service life of a QLED-based device effectively.

Abstract: The present application discloses a QLED and a preparation method thereof. The QLED comprises an anode and a cathode being oppositely arranged, a quantum dot luminescent layer arranged between the anode and cathode, and an ETL arranged between the quantum dot luminescent layer and the cathode. Where the ETL includes a first ETL, and the first ETL is a zinc oxide film with a surface hydroxyl content being greater than or equal to 0.6. Or alternatively, the ETL contains zinc oxide, and the surface of at least some of the zinc oxide contains amino ligands and/or carboxyl ligands with 8-18 carbon atoms. The QLED provided in the present application improves an external quantum efficiency of the QLED device effectively.

Abstract: There is provided an image-based information extraction model, method, and apparatus, a device, and a storage medium, which relates to the field of artificial intelligence (AI) technologies, specifically to fields of deep learning, image processing, computer vision technologies, and is applicable to optical character recognition (OCR) and other scenarios. A specific implementation solution involves: acquiring a to-be-extracted first image and a category of to-be-extracted information; and inputting the first image and the category into a pre-trained information extraction model to perform information extraction on the first image to obtain text information corresponding to the category.

Abstract: An AC-side precharge-isolation-detection circuit is connected in parallel to both ends of the current limiting resistor PTC of the AC-side precharge circuit. The AC-side precharge-isolation-detection circuit includes a step-down rectifier module, an optocoupler isolation module, and a voltage drop detection module, wherein the step-down rectifier module is connected in parallel to the current limiting resistor PTC on the AC side, the input end of the optocoupler isolation module is connected to the step-down rectifier module, and the output end of the optocoupler isolation module is connected to the voltage drop detection module. The invention can realize isolation of operating voltages at the pre-stage input and the post-stage output for the AC-side precharge-isolation-detection circuit through the optocoupler, detect voltage drop change across the current limiting resistor PTC of the precharge circuit, and transfer a voltage drop output signal to the MCU.

Abstract: The present invention relates to a high-strength absorbable composite active internal fixation device and a preparation method therefor. Specifically, the present invention discloses the internal fixation device and its preparation method, which possess excellent biological activity and mechanical properties.

Abstract: A method, apparatus, device and storage medium for recognizing a bill image may include: performing text detection on a bill image, and determining an attribute information set and a relationship information set of each text box of at least two text boxes in the bill image; determining a type of the text box and an associated text box that has a structural relationship with the text box based on the attribute information set and the relationship information set of the text box; and extracting structured bill data of the bill image, based on the type of the text box and the associated text box that has the structural relationship with the text box.

Abstract: A method for visual question answering, a computer device implementing the method and a medium for storing instructions on performing the method are provided. The method includes: acquiring an input image and an input question; constructing a visual graph based on the input image, wherein the visual graph comprises a first node feature and a first edge feature; constructing a question graph based on the input question, wherein the question graph comprises a second node feature and a second edge feature; performing a multimodal fusion on the visual graph and the question graph to obtain an updated visual graph and an updated question graph; determining a question feature based on the input question; determining a fusion feature based on the updated visual graph, the updated question graph and the question feature; and generating a predicted answer for the input image and the input question.

Abstract: The present disclosure provides a method for visual question answering, which relates to a field of computer vision and natural language processing. The method includes: acquiring an input image and an input question; constructing a Visual Graph based on the input image, wherein the Visual Graph comprises a Node Feature and an Edge Feature; updating the Node Feature by using the Node Feature and the Edge Feature to obtain an updated Visual Graph; determining a question feature based on the input question; fusing the updated Visual Graph and the question feature to obtain a fused feature; and generating a predicted answer for the input image and the input question based on the fused feature. The present disclosure further provides an apparatus for visual question answering, a computer device and a non-transitory computer-readable storage medium.

Abstract: Embodiments of the present disclosure provide a method and apparatus for correcting a distorted document image, where the method for correcting a distorted document image includes: obtaining a distorted document image; and inputting the distorted document image into a correction model, and obtaining a corrected image corresponding to the distorted document image; where the correction model is a model obtained by training with a set of image samples as inputs and a corrected image corresponding to each image sample in the set of image samples as an output, and the image samples are distorted. By inputting the distorted document image to be corrected into the correction model, the corrected image corresponding to the distorted document image can be obtained through the correction model, which realizes document image correction end-to-end, improves accuracy of the document image correction, and extends application scenarios of the document image correction.

Abstract: An output inductance value controlling method, apparatus, and computer device for a multi-tap reactor. A single output port of the multi-tap reactor is correspondingly connected to a single relay, and each relay is connected to a general power supply of all air conditioner internal units. When in use, an air conditioning system acquires a motor speed and a phase current of each air conditioner internal unit separately, and then calculates a sum of motor powers of all the air conditioner internal units according to the motor speeds and the phase currents. The system matches a basic inductance value required by the air conditioner internal units according to the sum of motor powers, sets a current output inductance value of the multi-tap reactor according to the basic inductance value, and inputs the output inductance value into the corresponding air conditioner internal units.

Abstract: Disclosed are a method, apparatus and electronic device for annotating information of a structured document. A specific implementation is: obtaining a template image of a structured document and at least one piece of annotation information of a field to be filled in the template image, where the annotation information includes attribute value and historical content of the field to be filled, and historical position of the field to be filled in the template image; generating, according to the attribute value of the field to be filled, the historical content of the field to be filled and the historical position of the field to be filled in the template image, target filling information of the field to be filled; obtaining, according to the target filling information of the field to be filled, an image of an annotated structured document.

Abstract: A text extraction method and a text extraction model training method are provided. The present disclosure relates to the technical field of artificial intelligence, in particular to the technical field of computer vision. An implementation of the method comprises: obtaining a visual encoding feature of a to-be-detected image; extracting a plurality of sets of multimodal features from the to-be-detected image, wherein each set of multimodal features includes position information of one detection frame extracted from the to-be-detected image, a detection feature in the detection frame and first text information in the detection frame; and obtaining second text information matched with a to-be-extracted attribute based on the visual encoding feature, the to-be-extracted attribute and the plurality of sets of multimodal features, wherein the to-be-extracted attribute is an attribute of text information needing to be extracted.

Abstract: Systems are configured for generating spectrogram data characterized by a voice timbre of a target speaker and a prosody style of source speaker by converting a waveform of source speaker data to phonetic posterior gram (PPG) data, extracting additional prosody features from the source speaker data, and generating a spectrogram based on the PPG data and the extracted prosody features. The systems are configured to utilize/train a machine learning model for generating spectrogram data and for training a neural text-to-speech model with the generated spectrogram data.

Abstract: Methods are provided for treating a subject having a MYC-driven neoplasia. Aspects of the methods include administering to the subject an amount of an inhibitor of a target gene effective to treat the subject for the MYC-driven neoplasia. Methods are also provided for identifying a MYC-dependent target gene in a MYC-driven neoplasia. Aspects of the method include identifying the MYC-dependent target gene based on a phenotype detected in a first tumor cell line conditionally expressing MYC that is absent or quantitatively different in a second tumor cell line conditionally repressing MYC when the two cell lines are contacted with a CRISPR-based gene silencing agent. Kits and cell lines for practicing the methods of the disclosure are also provided.

Abstract: A method for training a text positioning model includes: obtaining a sample image, where the sample image contains a sample text to be positioned and a text marking box for the sample text; inputting the sample image into a text positioning model to be trained to position the sample text, and outputting a prediction text box for the sample image; obtaining a sample prior anchor box corresponding to the sample image; and adjusting model parameters of the text positioning model based on the sample prior anchor box, the text marking box and the prediction text box, and continuing training the adjusted text positioning model based on a next sample image until model training is completed, to generate a target text positioning model.

Abstract: Applications of a serum S100A8/A9 complex level in the prognosis assessment of acute myocardial infarction (AMI) are disclosed. The prognosis assessment refers to predicting short-term and long-term prognosis of an AMI patient undergoing percutaneous coronary intervention (PCI) and determining whether the patient falls into a high-risk group of postoperative adverse events (AEs) or a low-risk group of the postoperative AEs. The AEs include but are not limited to death, cardiogenic shock (CS), and acute heart failure (AHF). The S100A8/A9 complex is a heterodimer complex formed by S100A8 protein (Calgranulin A, MRP8) and S100A9 protein (Calgranulin B, MRP14) in a calcium ion-dependent manner. The S100A8/A9 complex refers to the S100A8/A9 complex in serum of the patient within 24 h after the PCI. An antibody pair for detecting the serum S100A8/A9 complex is also disclosed.

Abstract: The present disclosure provides a table generating method and apparatus, an electronic device, a storage medium and a product. A specific implementation is: recognizing at least one table object in a to-be-recognized image and obtaining a table property respectively corresponding to the at least one table object, where the table property of any table object includes a cell property or a non-cell property; determining at least one target object with the cell property in the at least one table object; determining a cell region respectively corresponding to the at least one target object to obtain cell position information respectively corresponding to the at least one target object; generating a spreadsheet corresponding to the to-be-recognized image according to the cell position information respectively corresponding to the at least one target object.

Abstract: Systems are configured for generating spectrogram data characterized by a voice timbre of a target speaker and a prosody style of source speaker by converting a waveform of source speaker data to phonetic posterior gram (PPG) data, extracting additional prosody features from the source speaker data, and generating a spectrogram based on the PPG data and the extracted prosody features. The systems are configured to utilize/train a machine learning model for generating spectrogram data and for training a neural text-to-speech model with the generated spectrogram data.

Abstract: The present disclosure discloses an image processing method, an electronic device and a storage medium, and relates to the field of artificial intelligence technologies, and particularly to the fields of computer vision technologies, deep learning technologies, or the like. The image processing method includes: acquiring a multi-modal feature of each of at least one text region in an image, the multi-modal feature including features in plural dimensions; performing a global attention processing operation on the multi-modal feature of each text region to obtain a global attention feature of each text region; determining a category of each text region based on the global attention feature of each text region; and constructing structured information based on text content and the category of each text region.