Abstract: A touch array substrate and a manufacturing method thereof, wherein in the touch array substrate, an active layer, an insulating layer, a pixel electrode layer, a metal layer, a planarization layer, and a common electrode layer are sequentially disposed on the buffer layer. The active layer includes a first region corresponding to a source electrode and a second region corresponding to a drain electrode. The pixel electrode layer includes a plurality of base layers. The metal layer is correspondingly disposed on the base layers. The metal layer includes a touch signal line, a data line, and a gate electrode. The common electrode layer includes a touch electrode, the source electrode, and the drain electrode.

Abstract: A wearable mechano-acoustic sensor for continuous cardiorespiratory monitoring, and methods of making and using the same. The sensor includes a diaphragm with a chamber and a channel connected to the chamber, a plurality of electrodes including at least an anode and a cathode extending into the channel, and a liquid electrolyte solution that fills the chamber and channel. When the diaphragm is attached to a user's chest, mechano-acoustic movement from the chest cause the diaphragm to move, pushing the electrolyte solution across the electrodes. A voltage is applied to the anode and an electrochemical current is determined by the flux from the anode to the cathode by the modulation of the electrolyte solution across the electrodes and cardiorespiratory signals are measured from the electrochemical currents.

Abstract: The present application relates to a benzo five-membered nitrogen heterocyclic compound and an application thereof. The benzo five-membered nitrogen heterocyclic compound has the structure represented by formula I. The compound can be used as a compound of ROR? receptor inhibitor. The compound can effectively inhibit ROR? proteins and have good selectivity to other nuclear receptor family proteins. The benzo five-membered nitrogen heterocyclic compound or a pharmaceutical composition thereof provided by the present application can be used for preparing a drug for treating, preventing or ameliorating diseases such as inflammations, autoimmune diseases, cell proliferative disorder diseases, sepsis, cancer, neurodegeneration diseases or viral infections, has a good inhibitory effect on the treatment of tumors, especially the treatment of prostate cancer, and also has an amelioration effect on the treatment of other diseases.

Abstract: A method, computer program, and computer system for separating a target voice from among a plurality of speakers is provided. Video data associated with the plurality of speakers and audio data associated with each of the one or more speakers are received. Video feature data is extracted from the received video data. The target voice is identified from among the plurality of speakers based on the received audio data and the extracted video feature data.

Abstract: A vehicle control method for platooning vehicles includes determining, for a first following vehicle, a predicted movement state information, and a lead vehicle predicted movement state information of a lead vehicle corresponding to a number of time points in the future. In the vehicle control method, when there is an adjacent second following vehicle, second following vehicle predicted movement state information corresponding to the number of time points is determined, and also includes determining optimized control quantities corresponding to respective ones of the number of time points, including determining an overall constraint model based on constraints between the first following vehicle and the lead vehicle, and constraints between the first following vehicle and the second following vehicle; determining the optimized control quantities; and performing longitudinal control in accordance with the optimized control quantities.

Abstract: The present invention discloses a cloud-edge-end cooperative control method of a 5G networked UAV for security rescue, including: an image acquisition step: performing, by a single-chip microcomputer, attitude resolution on data acquired by a detection sensor, to obtain image data; a sparse landmark map building step: performing, by a control platform, front-end feature point matching, local map building and optimization, loopback detection, and frame resolution on the image data, to generate a sparse landmark map; a three-dimensional dense map building step: generating, by an edge cloud, a three-dimensional dense map based on a key frame pose and key frame observation data of the sparse landmark map; a high-precision semantic map building step: obtaining a high-precision semantic map; and a UAV movement step: adjusting, by the driving mechanism, a pose of the UAV according to the three-dimensional dense map or the high-precision semantic map.

Abstract: There is included a method and apparatus comprising computer code for generating enhanced target speech from audio data, performed by a computing device, the method comprising: receiving audio data corresponding to one or more speakers; generating estimated an target speech, an estimated noise, and an estimated echo simultaneously based on the audio data using a jointly trained complex ratio mask; predicting frame-level multi-tap time-frequency (T-F) spatio-temporal-echo filter weights based on the estimated target speech, the estimated noise, and the estimated echo using a trained neural network model; and predicting enhanced target speech based on the frame-level multi-tap T-F spatio-temporal-echo filter weights.

Abstract: The present disclosure relates to systems, methods, and computer readable media for predicting deployment growth on one or more node clusters and selectively permitting deployment requests on a per cluster basis. For example, systems disclosed herein may apply tenant growth prediction system trained to output a deployment growth classification indicative of a predicted growth of deployments on a node cluster. The system disclosed herein may further utilize the deployment growth classification to determine whether a deployment request may be permitted while maintaining a sufficiently sized capacity buffer to avoid deployment failures for existing deployments previously implemented on the node cluster. By selectively permitting or denying deployments based on a variety of factors, the systems described herein can more efficiently utilize cluster resources on a per-cluster basis without causing a significant increase in deployment failures for existing customers.

Abstract: The present application provides an X-ray imaging system and a collision prevention method therefor. The X-ray imaging system includes a tube device, at least one sensor, and a controller. The tube device is capable of moving to a preset position so as to emit an X-ray. The at least one sensor is mounted on at least one surface of the tube device. The at least one sensor is configured to acquire a feedback signal within a preset sensing region. The controller is connected to the at least one sensor and the tube device, and the controller includes a determination module and a control module. The determination module is configured to determine, on the basis of the feedback signal, whether an obstacle is present in the preset sensing region and acquire position information of the obstacle. The control module is configured to control motion of the tube device on the basis of the position information of the obstacle.

Abstract: A landing tracking control method comprises the following contents: a tracking model training stage and an unmanned aerial vehicle real-time tracking stage. The landing tracking control method extracts a network Snet by using a lightweight feature and makes modification, so that an extraction speed of the feature is increased to better meet a real-time requirement. Weight allocation on the importance of channel information is carried out to differentiate effective features more purposefully and utilize the features, so that the tracking precision is improved. In order to improve a training effect of the network, a loss function of an RPN network is optimized, a regression precision of a target frame is measured by using CIOU, and meanwhile, calculation of classified loss function is adjusted according to CIOU, and a relation between a regression network and classification network is enhanced.

Abstract: Compositions, methods and kits are provided for identifying the presence and location of a target in chromosomal DNA. A nicking endonuclease fused to a binding domain that binds to a constant region of an antibody (NEFP) is provided that may be used for binding to a target directly or via an antibody that binds to the target. The target may be a protein or structural feature of the DNA and its presence and location may correspond to a phenotype and/or pathology in a biopsy or other cell sample for diagnostic purposes. The background is reduced by the addition of a glycoaminoglycan (GAG) that reversibly inhibits binding of the NEFP to DNA. Nick translation in the presence of a strand displacing polymerase enables the incorporation of tagged nucleotides that (i) blocks re-nicking; (ii) facilitates immobilization of DNA fragments around the target for sequencing; and/or (iii) enables dye labelling of the chromosomal DNA within the cell nuclei for analysis by microscopy.

Abstract: An array substrate includes a substrate, a first metal layer and an active layer disposed on the substrate, an interlayer insulating layer, and a second metal layer. The first metal layer forms at least one first trace, the interlayer insulating layer is disposed on the first metal layer and the active layer, the second metal layer is disposed on the interlayer insulating layer, the interlayer insulating layer is formed with a first contact hole, and the second metal layer is connected to the first trace through the first contact hole. The first metal layer includes a conductive layer and a first protective layer stacked in sequence.

Abstract: The invention provides a method, apparatus, device and storage medium for predicting a protein binding site. The method comprises the steps of: receiving a protein sequence to be predicted, dividing the protein sequence by using a preset sliding window and sliding step to obtain a plurality of amino acid sub-sequences, building word vectors for the protein sequence according to the amino acid sub-sequences, extracting document features from word elements, building document feature vectors for the protein sequence according to the extracted document features, extracting protein chain biological features from the amino acid sub-sequences, building biological feature vectors for the protein sequence according to the extracted biological features, classifying the amino acid sub-sequences expressed with the document feature vectors and the biological feature vectors by using a preset amino acid residue classification model to obtain amino acid residue types for the protein sequence.

Abstract: Compositions, methods and kits are provided for identifying the presence and location of a target in chromosomal DNA. A nicking endonuclease fused to a binding domain that binds to a constant region of an antibody (NEFP) is provided that may be used for binding to a target directly or via an antibody that binds to the target. The target may be a protein or structural feature of the DNA and its presence and location may correspond to a phenotype and/or pathology in a biopsy or other cell sample for diagnostic purposes. The background is reduced by the addition of a glycoaminoglycan (GAG) that reversibly inhibits binding of the NEFP to DNA. Nick translation in the presence of a strand displacing polymerase enables the incorporation of tagged nucleotides that (i) blocks re-nicking; (ii) facilitates immobilization of DNA fragments around the target for sequencing; and/or (iii) enables dye labelling of the chromosomal DNA within the cell nuclei for analysis by microscopy.

Abstract: Provided is a method for generating web codes for a user interface (UI) based on a generative adversarial network (GAN) and a convolutional neural network (CNN). The method includes steps described below. A mapping relationship between display effects of a HyperText Markup Language (HTML) element and source codes of the HTML element is constructed. A location of an HTML element in an image I is recognized. Complete HTML codes of the image I are generated. The similarity between manually-written HTML codes and the generated complete HTML codes and the similarity between the image I and an image I1 generated by the generated complete HTML codes are obtained. After training, an image-to-HTML-code generation model M is obtained. A to-be-processed UI image is input into the model M so as to obtain corresponding HTML codes. According to the method of the present disclosure, an image-to-HTML-code generation model M can be obtained.

Abstract: Provided are a method and device for preparing adiponitrile. The method of the present disclosure comprises the steps of a first hydrocyanation reaction, an isomerization reaction and a second hydrocyanation reaction, wherein online Raman spectroscopy is used for detecting the content of a specific component in the system; and the reaction conditions are regulated based on the detection results, so as to achieve precise control of the materials in each step of the reaction system. The method of the present disclosure can reduce an amount of butadiene, thereby reducing the subsequent energy consumption needed for recycling butadiene and equipment investment after reaction; by monitoring the content of hydrocyanic acid in real time, the residue of hydrocyanic acid is reduced to a lower level, and the operation safety and the stability of a catalyst during reaction are improved; and the loss of the catalyst is reduced.

Abstract: An array substrate, includes: a substrate, a first metal layer, a first buffer layer, and an active layer, a gate insulating layer, a second metal layer, a first insulating layer, a third metal layer and a first planarization layer. The first metal layer is electrically connected with the first doped area of the active layer through the bridge layer of the second metal layer. The third metal layer is electrically connected with the second doped area of the active layer. The array substrate of the present disclosure reduces a size of a thin film transistor by stacking the first metal layer, the second metal layer, and the third metal layer, thereby increasing pixel density. A display panel is also provided.

Abstract: An X-ray high-absorptivity detection system and an image imaging method are provided. The system comprises a fluorescent layer, a light source for emitting X-rays towards the fluorescent layer, a first visible light sensor, a second visible light sensor, a first image acquisition device, a second image acquisition device. First visible photons moving towards the first visible light sensor and second visible photons moving towards the second visible light sensor are generated under the excitation of X photons; the first image acquisition device is configured for obtaining a first image signal by the first visible light sensor acquiring a first visible photon signal, and the second image acquisition device is configured for obtaining a second image signal by the second visible light sensor acquiring a second visible photon signal; an X-ray image signal is obtained by an addition operation on the two image signals.

Abstract: A self-adaptive multi-scale respiratory monitoring method based on a camera, relates to the technical field of video image signal identification processing, in order to solve the defect that the local optimal respiratory signal and the global optimal respiratory signal cannot be acquired by single image scale, a method was provided: (1) acquiring a respiratory monitoring object in real time;(2) performing multi-scale regular pre-segmentation on a video image, performing local respiratory signal identification and extraction on each unit area pre-segmented under each scale respectively, and defining the unit area with local respiratory signal output as a target area; and (3) comparing local respiratory signals extracted from the target area pre-segmented under each scale, determining an optimal segmentation scale, and taking a local respiratory signal extracted from the target area under the optimal segmentation scale as a monitoring respiratory signal output.