Abstract: An electrostatic discharge protection structure for a nitride-based device having an active region, an electrostatic discharge protection region outside the active region for forming the electrostatic discharge protection structure, and a field plate formed in the active region is provided. The electrostatic discharge protection structure includes a channel layer, and a barrier layer, a first p-type nitride layer and a metal layer formed on the channel layer in such order. The metal layer is electrically connected to the field plate in the active region. A nitride-based device having the electrostatic discharge protection structure and a method for manufacturing a nitride-based device is also disclosed.

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: Embodiments for generating entity recognition models are provided. A data set including a plurality of entity references and a plurality of entity types are received. The plurality of entity types are divided into a plurality of entity type groups. The data set is divided into a plurality of data subsets. Each of the plurality of data subsets is associated with a respective one of the plurality of entity type groups. A plurality of entity recognition models are trained. Each of the plurality of entity recognition models is trained based on a respective one of the plurality of entity type groups and a respective one of the plurality of data subsets. A combined entity recognition model is generated based on the plurality of entity recognition models.

Abstract: For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.

Abstract: A probe card includes a circuit board, a fixing member, and a plurality of probes. The fixing member is fixed on the circuit board and has a through opening therein. The fixing member has opposite first and second sidewalls defining the through opening. Each of the probes includes an arm portion and a tip portion. One end of the arm portion is connected to the circuit board. The tip portion extends from the arm portion. The arm portions of the probes extend in substantially a same direction inclined to a direction perpendicular to the first sidewall of the fixing member in a top view.

Abstract: Embodiments of this application provide a terminal device, including a middle frame, a heat source device, a first heat dissipation assembly, and a second heat dissipation assembly. The first heat dissipation assembly is disposed on one side of the middle frame, the heat source device and the second heat dissipation assembly are disposed on the other side of the middle frame, and at least one of the first heat dissipation assembly and the second heat dissipation assembly is a graphene heat dissipation assembly.

Abstract: Systems and methods include obtaining file identifiers associated with files in production data; obtaining lab data from one or more public repositories of malware samples based on the file identifiers for the production data; and utilizing the lab data for training a machine learning process for classifying malware in the production data. The obtaining file identifiers can be based on monitoring of users associated with the files, and only the file identifiers are maintained based on the monitoring. The lab data can include samples from the one or more public repositories matching the corresponding file identifiers for the production data. The lab data can include samples from the one or more public repositories that have features closely related to features of the production data.

Abstract: In one aspect, composite nanoparticles are provided. In some embodiments, a composite nanoparticle comprises a host matrix comprising A4BX6-ZYZ and ABX3-PYP inclusions dispersed within the host matrix of the composite nanoparticle, wherein A is an alkali metal, B is an element selected from the group consisting of transition metals, Group IVA elements and rare earth elements and X and Y are independently selected from Group VIIA elements, 0?z?6, and 0?p<3.

Abstract: An image classification method based on reliable weighted optimal transport (RWOT) includes: preprocessing data in a source domain, so that a deep neural network fits a sample image in the source domain to obtain a sample label; performing image labeling to add a pseudo label to a data sample in a target domain; performing node pairing to pair associated images in the source domain and the target domain; and performing automatic analysis by using a feature extractor and an adaptive discriminator, to perform image classification. The present disclosure proposes a subspace reliability method for dynamically measuring a difference between the source domain and the target domain based on spatial prototypical information and an intra-domain structure. This method can be used as a preprocessing step of an existing domain adaptation technology, and greatly improves efficiency.

Abstract: Described embodiments provide systems and methods for providing remote application action feed cards. A ticket can be received from a client device. The ticket can be indicative of an action of a remote application and the remote application can be accessible by a group of users. The device can receive information about the action identified in the received ticket from at least one user of the group of users in response to provision of a determined key and the received ticket to the group of users. The device can provide the received information to client devices of user of the group of users to identify actions of other users of the group of users.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: A system for human interaction with virtual objects comprises: a touch sensitive surface, configured to detect a position of a contact made on the touch sensitive surface; a reference layer rigidly attached to the touch sensitive surface and comprising one or more patterns; a display device, configured to display a virtual object that is registered in a reference coordinate fixed with respect to the touch sensitive surface; one or more image sensors rigidly attached to the display device, configured to capture an image of at least a portion of the one or more patterns; and at least one processor, configured to determine a position and an orientation of the display device with respect to the touch sensitive surface based on the captured image, and identify an interaction with the virtual object based on the detected position of the contact made on the touch sensitive surface.

Abstract: A method for connecting or joining a first substrate and a second substrate across an interface between the first substrate and the second substrate. The method includes disposing a fastener precursor in the bore and sintering the fastener precursor in the bore. The fastener precursor densifies and shrinks in at least one dimension to mechanically interlock with a contour in the bore and form a mechanical fastener in the bore, and the mechanical fastener forms an interlock between the first substrate and the second substrate.

Abstract: The present invention is directed to cellulytic host cells. The host cells of the invention expressing heterologous cellulases and are able to produce ethanol from cellulose. According to the invention, host cells expressing a combination of heterologous cellulases can be used to produce ethanol from cellulose. In addition, multiple host cells expressing different heterologous cellulases can be co-cultured together and used to produce ethanol from cellulose. Furthermore, the invention demonstrates for the first time the ability of Kluyveromyces to produce ethanol from cellulose. The yeast strains and co-cultures of yeast strains of the invention can be used to produce ethanol on their own, or can also be used in combination with externally added cellulases to increase the efficiency of saccharification and fermentation processes.

Abstract: A method for customizing facial expressions of a user includes: obtaining a RGB-D image sequence, performing non-rigid registration on a three-dimensional (3D) face template model with a depth map and face feature points corresponding to the RGB-D image sequence, inputting each vertex in the non-rigid registration result into the depth map to generate a set of deformation data, and deforming the 3D face template model based on the set of deformation data; reconstructing face details in the RGB-D image sequence, and generating a 3D neutral face model based on the deformed 3D face template model and the reconstructed 3D face template model; processing the 3D neutral face model and a face hybrid template to generate a face hybrid model; tracking the face in the RGB-D image sequence to generate a face tracking result; and updating the face hybrid model based on the face tracking result and customizing the facial expressions.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry that decodes prediction information for a plurality of first blocks in a current coded picture that is a part of a coded video sequence. The prediction information indicates that the plurality of first blocks is coded in a local illumination compensation (LIC) mode. The processing circuitry selects a neighboring region for each of the plurality of first blocks. The selected neighboring region and the respective first block form a second block. The processing circuitry performs an inter prediction for the plurality of second blocks in parallel. The processing circuitry determines a set of LIC parameters for each of the plurality of first blocks based on the selected neighboring region of the respective first block and reconstructs the plurality of first blocks based on the sets of LIC parameters.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data including one or more blocks is received. A current block coded in intra block copy mode or string matching mode is predicted from among the one or more blocks based on a coded block vector or a string offset vector corresponding to one or more spatial neighboring or non-neighboring blocks from among the one or more blocks. The video data is decoded based on the predicted current block.

Abstract: The present invention provides a monocular unsupervised depth estimation method based on contextual attention mechanism, belonging to the technical field of image processing and computer vision. The invention adopts a depth estimation method based on a hybrid geometric enhancement loss function and a context attention mechanism, and adopts a depth estimation sub-network, an edge sub-network and a camera pose estimation sub-network based on convolutional neural network to obtain high-quality depth maps. The present invention uses convolutional neural network to obtain the corresponding high-quality depth map from the monocular image sequences in an end-to-end manner. The system is easy to construct, the program framework is easy to implement, and the algorithm runs fast; the method uses an unsupervised method to solve the depth information, avoiding the problem that ground-truth data is difficult to obtain in the supervised method.

Abstract: The disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-generation (4G) communication system such as long term evolution (LTE). The embodiments of the disclosure provide a session setup method, including: receiving a message for creating a session management context; selecting a user plane functional entity (UPF) for redundant session processing in response to the message; and setting up a packet data unit (PDU) session corresponding to the UPF. There are further provided a session setup method for a base station and related devices. The above technical solutions can realize reliability of service transmission.

Abstract: The invention discloses an unsupervised content-preserved domain adaptation method for multiple CT lung texture recognition, which belongs to the field of image processing and computer vision. This method enables the deep network model of lung texture recognition trained in advance on one type of CT data (on the source domain), when applied to another CT image (on the target domain), under the premise of only obtaining target domain CT image and not requiring manually label the typical lung texture, the adversarial learning mechanism and the specially designed content consistency network module can be used to fine-tune the deep network model to maintain high performance in lung texture recognition on the target domain. This method not only saves development labor and time costs, but also is easy to implement and has high practicability.