Abstract: A mechanism for building decentralized computer applications that execute on a distributed computing system. The present technology works within a web browser, client application, or other software and provides access to decentralized computer applications through the browser. The present technology is non-custodial, wherein a public-private key pair, which represents user identity, is created on a client machine and then directly encrypted by a third-party platform without relying on one centralized computing system.

Abstract: A micro light-emitting diode structure is provided. The micro light-emitting diode structure includes an epitaxial layer. The micro light-emitting diode structure also includes a reflecting layer disposed on the epitaxial layer. The micro light-emitting diode structure further includes a patterned electrode layer disposed between the epitaxial layer and the reflecting layer. The patterned electrode layer is divided into a plurality of patterned electrode segments, and the patterned electrode segments are separated from each other. Moreover, the micro light-emitting diode structure includes a first-type electrode and a second-type electrode disposed on the reflecting layer and electrically connected to the epitaxial layer.

Abstract: A method includes receiving a first data set comprising embeddings of first and second types, generating a fixed adjacency matrix from the first dataset, and applying a first stochastic binary mask to the fixed adjacency matrix to obtain a first subgraph of the fixed adjacency matrix. The method also includes processing the first subgraph through a first layer of a graph convolutional network (GCN) to obtain a first embedding matrix, and applying a second stochastic binary mask to the fixed adjacency matrix to obtain a second subgraph of the fixed adjacency matrix. The method includes processing the first embedding matrix and the second subgraph through a second layer of the GCN to obtain a second embedding matrix, and then determining a plurality of gradients of a loss function, and modifying the first stochastic binary mask and the second stochastic binary mask using at least one of the plurality of gradients.

Abstract: The present disclosure relates to an ion beam etching (IBE) system including a plasma chamber configured to provide plasma, a screen grid, an extraction grid, an accelerator grid, and a decelerator grid. The screen grid receives a screen grid voltage to extract ions from the plasma within the plasma chamber to form an ion beam through a hole. The extraction grid receives an extraction grid voltage, where a voltage difference between the screen grid voltage and the extraction grid voltage determines an ion current density of the ion beam. The accelerator grid receives an accelerator grid voltage. A voltage difference between the extraction grid voltage and the accelerator grid voltage determines an ion beam energy for the ion beam. The IBE system can further includes a deflector system having a first deflector plate and a second deflector plate around a hole to control the direction of the ion beam.

Abstract: A sensing circuit and a correction method thereof, a pixel driving module and a sensing method thereof, and a display apparatus, the sensing circuit includes: an operation amplifier (AMP), an integration capacitor (Cfb), a first switch (S1), a second switch (S2), a third switch (S3), a fourth switch (S4), a fifth switch (S5) and a sixth switch (S6).

Abstract: Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.

Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Abstract: A micro light-emitting element including an epitaxial structure, an insulating layer, an electrode structure and a sacrificial layer is provided. The epitaxial structure includes a top surface and a side surface. The insulating layer is disposed on the top surface and the side surface of the epitaxial structure, and the insulating layer includes an opening. The electrode structure is disposed on the top surface of the epitaxial structure and extends through the opening of the insulating layer to be electrically connected to the epitaxial structure. The sacrificial layer is sandwiched between a surface of the insulating layer and the corresponding electrode structure. A micro light-emitting element display device is further provided.

Abstract: The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

Abstract: A micro light-emitting diode is provided. The micro light-emitting diode includes a first-type semiconductor layer having a first doping type; a light-emitting layer over the first-type semiconductor layer; a first-type electrode over the first-type semiconductor layer; a second-type semiconductor layer having a second doping type over the light-emitting layer, wherein the second doping type is different from the first doping type; a second-type electrode over the second-type semiconductor layer; and a barrier layer under the first-type semiconductor layer and away from the first-type electrode and the second-type electrode, wherein the barrier layer includes a doped region having the second doping type.

Abstract: A multi-degree-of-freedom continuum robot with a flexible target grasping function comprises a driving device module, a trunk simulation module and a nimble finger module. The trunk simulation module is composed of a rotary compression module and a bending compression module. Each module has a unified connection interface reserved at the end, and is combined and assembled according to actual needs. The driving module is arranged on the base of the robot to realize the driving operation of all cables to control the motion of the robot. The rotary compression module can simultaneously generate the motion in the forms of rotation and compression, thereby compensating for the defect of blind angle of the bending compression module. The bending compression module can realize compression deformation and bending deformation of the module independently. The nimble finger module realizes a grasping function by multi-finger collaboration.

Abstract: A control method, device, apparatus and storage medium for a supercapacitor energy storage device is provided, where the method includes: collecting life characterization parameters of the supercapacitor energy storage device and performing life evaluation to obtain a life evaluation result, inputting the life evaluation result into a constructed fuzzy rule base, and outputting a constraint condition adjustment parameter; obtaining a constraint condition according to the constraint condition adjustment parameter, and optimizing control parameters using a genetic algorithm in conjunction with an optimized objective function to obtain first control parameters; and controlling charging and discharging currents of the supercapacitor energy storage device using a droop control method according to the first control parameters.

Abstract: A circuit board assembly is applied to the field of electronic communications technologies to resolve a prior-art heat dissipation problem of a circuit board. The circuit board assembly combines, on a second circuit board, low-speed signals transmitted between a plurality of I/O modules and an IC chip, and then transmits the combined low-speed signals to the IC chip by using a low-speed cable. A low-speed signal sent by the IC chip to the plurality of I/O modules is extended to a plurality of low-speed signals on the second circuit board, and then the plurality of low-speed signals are separately sent to the plurality of I/O modules. This may be applied to a scenario in which a relatively large quantity of electronic components need to be disposed on a circuit board.

Abstract: Disclosed is a method for adapting a deep learning framework to a hardware device based on a unified backend engine, which comprises the following steps: S1, adding the unified backend engine to the deep learning framework; S2, adding the unified backend engine to the hardware device; S3, converting a computational graph, wherein the computational graph compiled and generated by the deep learning framework is converted into an intermediate representation of the unified backend engine; S4, compiling the intermediate representation, wherein the unified backend engine compiles the intermediate representation on the hardware device to generate an executable object; S5, running the executable object, wherein the deep learning framework runs the executable object on the hardware device; S6: managing memory of the unified backend engine.

Abstract: A light emitting substrate is provided. The light emitting substrate includes a plurality of light emitting controlling units arranged in M rows and N columns, M is an integer equal to or greater than one, N is an integer equal to or greater than one, wherein a respective one of the plurality of light emitting controlling units includes a plurality of light emitting elements arranged in J rows and I columns, J being an integer equal to or greater than one, I being an integer equal to or greater than one, a i-th column of the I columns of light emitting elements includes J rows of light emitting elements, 1?i?I; (M×J) number of first voltage signal lines; and (M×J) number of groups of second voltage signal lines.

Abstract: Described are a method, system, and computer program product for generating robust graph neural networks using universal adversarial training. The method includes receiving a graph neural network (GNN) model and a bipartite graph including an adjacency matrix, initializing model parameters of the GNN model, initializing perturbation parameters, and sampling a subgraph of a complementary graph based on the bipartite graph. The method further includes repeating until convergence of the model parameters: drawing a random variable from a uniform distribution; generating a universal perturbation matrix based on the subgraph, the random variable, and the perturbation parameters; determining Bayesian Personalized Ranking (BPR) loss by inputting the bipartite graph and the universal perturbation matrix to the GNN model; updating the perturbation parameters based on stochastic gradient ascent; and updating the model parameters based on stochastic gradient descent.

Abstract: Disclosed are a display apparatus and a display method therefor. The display method includes: a frame of to-be-displayed image data is received; the frame of to-be-displayed image data is segmented into N frames of sub-image data corresponding to the N display panels in a one-to-one correspondence; for each display panel, an initial peak brightness parameter corresponding to the display panel is calculated according to the sub-image data corresponding to the display panel; for each display panel, a target peak brightness parameter corresponding to the display panel is calculated according to the initial peak brightness parameter corresponding to the display panel and an initial peak brightness parameter corresponding to an adjacent display panel; and display is performed by each display panel according to the sub-image data and the target peak brightness parameter corresponding to the display panel.

Abstract: The present invention belongs to the field of environment monitoring, particularly relates to a CO2 storage state networking monitoring device, system and method with multi-information fusion. The present invention comprises: obtaining orientation electrical signal data and real-time pressure signals, analyzing a fluid flowing state at a view of a pressure sensor through the real-time pressure signals, and obtaining a CO2 flowing state through the orientation electrical signal data; and obtaining a CO2 regional storage state by combining an orientation CO2 content, a CO2 flowing state and the fluid flowing condition at the view of the pressure sensor. By combining accurate short-range CO2 boundary monitoring of orientation electrodes with long-range monitoring of pressure sensors to achieve a wide range of CO2 flowing state monitoring, the present invention can observe more data with higher reliability and effectively aims at the problem of strong inter-well heterogeneity.

Abstract: Embodiments of this application provide a packet transmission method and apparatus, and relate to the field of communication technologies. When the packet transmission method is applied, a first packet may be determined by using a first device, where packet fields of the first packet include an authentication identifier field, an authentication code field, and at least one candidate authentication field, and the authentication identifier field indicates a field that is in the at least one candidate authentication field and that corresponds to the authentication code field; and then the first packet is sent.

Abstract: The present disclosure provides a film bulk acoustic resonator and its fabrication method. The film bulk acoustic resonator includes a first substrate, a support layer bonded on the first substrate, a first cavity formed in the support layer, a piezoelectric stacked layer on the support layer, a first trench and a second trench which are formed in the piezoelectric stacked layer, a dielectric layer over the piezoelectric stacked layer, a second cavity formed in the dielectric layer, and a second substrate covering the second cavity, where the first trench is connected to the first cavity, and the second trench is connected to the second cavity.