Abstract: A method for self-supervised microscopic image super-resolution processing, comprising: collecting original fluorescence image data of a biological sample using an optical imaging system; depending on the type of the optical imaging system performing image preprocessing on the collected original fluorescence image data using a computer, to obtain a training set, and, in the computer, training a neural network for image denoising and super-resolution processing using the training set, and using the trained neural network to process the original fluorescence image data, or using the optical imaging system to process additional fluorescence image data acquired for the same biological sample.

Abstract: A powder puff includes an elastic airbag and a cosmetic cover; the elastic airbag has a cavity; one end of the elastic airbag is provided with an air hole, an air-tight structure is arranged in the air hole and used for opening or closing the air hole; when the air hole is opened, the elastic airbag can be squeezed into a retracted state, or inhale spontaneously and restore elastically into an expanded state; the cosmetic cover covers the other end of the elastic airbag body. The elastic airbag may inhale autonomously, after the inflation is completed, the elastic airbag will stably support the cosmetic cover, which will not shake and is in a stable state, making it easy to apply makeup. The elastic airbag adopts an autonomous inhaling method, and the air pressure in the cavity is equal to the external air pressure.

Abstract: A method for constructing a large prediction model of coal burst based on multimodal data is provided. The method includes: constructing a multimodal data set by collecting data from different modalities; preprocessing the multimodal data set to construct precursor pattern sequences; and converting, according to features of different mining areas, each precursor pattern sequence into a corresponding grade form to assign a corresponding risk grade label of coal burst; processing graded precursor pattern sequences by using Transformer to predict an occurrence probability of risk grade of coal burst; evaluating, by using a comprehensive index method, risk degrees of mining information data and geological structure data, and evaluating an overall risk grade of coal burst comprehensively by combining the prediction result output by the coal burst prediction module.

Abstract: The present disclosure provides an N protein epitope mutation marker for preparing an epitope deletion-marked vaccine strain of type II porcine reproductive and respiratory syndrome virus (PRRSV) and use thereof, belonging to the technical field of biological products. In the mutation marker, one or more amino acids are mutated based on an epitope sequence at positions 92 to 103 of a C-terminal of an N protein of the type II PRRSV; and the epitope mutation marker has an amino acid sequence shown in SEQ ID NO: 1, where X1 is selected from the group consisting of T, P, and A; and X2 is selected from the group consisting of V and A.

Abstract: A quantum dot light emitting structure and a method for manufacturing the quantum dot light emitting structure, and an array substrate are disclosed. The quantum dot light emitting structure includes: a quantum dot light emitting layer; an electrode; and an electron transport layer located between the quantum dot light emitting layer and the electrode, the quantum dot light emitting structure further comprises an electron blocking layer located in the electron transport layer, a root-mean-square (RMS) roughness of a surface, close to the quantum dot light emitting layer, of the electron transport layer is different from a root-mean-square (RMS) roughness of a surface, away from the quantum dot light emitting layer, of the electron transport layer.

Abstract: Embodiments of this application provide a target detection method and apparatus, an electronic device, and a computer storage medium. The method includes: obtaining a target image including a target object; performing instance segmentation on the target image, to obtain a segmentation mask corresponding to the target object; obtaining, based on the segmentation mask, position relationship features between target pixels in a target region in which the target object is located in the target image; obtaining position relationship features between standard pixels in a preset region of interest in a standard image, where the standard image includes a standard object corresponding to the target object; and matching the position relationship features between the target pixels and the position relationship features between the standard pixels, to obtain a correspondence between the target pixels and the standard pixels, and obtaining pose information of the target object based on the correspondence.

Abstract: The present disclosure provides a method for reading a solid state disk, including: dividing a plurality of logic planes of a logic unit in the solid state disk into a first plane group and a second plane group; assigning a first processing process to the first plane group and a second processing process to the second plane group; in response to there being a first read request in a first message queue of the first processing process and no second read request in a second message queue of the second processing process, sending the first read request to the solid state disk through the first processing process; in response to there being the first read request in the first message queue and the second read request in the second message queue, sending the read requests to the solid state disk through the first processing process or the second processing process.

Abstract: Various embodiments include a software module deployment method comprising: acquiring a self-description file of at least one edge device with a management device, the self-description file at least describing a software running environment and hardware resource information of the edge device; deploying a software module mirror image on a suitable edge device and establishing a connection relationship between different software module instances deployed on the edge device; automatically allocating, with the management device, a port number to be used when communication is actually performed to each software module instance deployed on the edge device; and generating a configuration file according to the software module instance deployed on each edge device, the connection relationship between different software module instances on the edge device, and the port number.

Abstract: Aspects of the disclosure provide for evaluation of a planned trajectory for an autonomous vehicle. For instance, for each of a plurality of objects, a predicted trajectory may be received. The planned trajectory may identify locations and times that the vehicle will be at those locations. For each of the plurality of objects, a grid including a plurality of cells may be generated. Occupancy of each grid for each of the plurality of objects may be determined based on the predicted trajectories. A cell of each grid which will be occupied by the vehicle at a location and time of the planned trajectory may be identified. The planned trajectory may be evaluated based on whether any identified cell is occupied by any of the plurality of objects at the time.

Abstract: A building photovoltaic data interpolation method based on WGAN and whale optimization algorithm is provided, which includes: obtaining historical building roof photovoltaic output data, perform preprocessing on the historical building roof photovoltaic output data, and uses CNN to build a GAN; describing missing value position of preprocessed data by using a binary mask matrix, and setting Wasserstein distance to define a loss function of a GAN generator and a discriminator; taking the loss function as a fitness function, optimizing an input to the GAN generator through a whale optimization algorithm and obtaining optimized candidate samples; fusing the optimized candidate samples and a photovoltaic data processed by the binary mask matrix to obtain completed reconstructed samples, so as to improve the complementary accuracy, optimize the random noise, remove the unfavorable influencing components, and provide services for building rooftop PV data interpolation more accurately.

Abstract: A self-supervised multimodal structured illumination microscopic reconstruction method comprises: exciting a biological sample with structured illumination to obtain J raw fluorescence image sequences, wherein J is an integer greater than or equal to 1, each raw fluorescence image sequence comprises S fluorescence images, S being an integer greater than or equal to 2; generating a training set for each raw fluorescence image sequence among the J raw fluorescence image sequences; training a denoising neural network on the basis of the training set; and performing super-resolution reconstruction on the S fluorescence images in each of the J raw fluorescence image sequences using a standard structured illumination super-resolution reconstruction algorithm to form a super-resolution image, which is input into the denoising neural network to obtain a final super-resolution reconstructed image.

Abstract: Provided are a weld seam structure and a welding process suitable for a narrow-gap water-cooled wall tube panel. The weld seam structure comprises a groove-type gap formed between adjacent water-cooled wall tubes, where welding joints are arranged on sides of the adjacent water-cooled wall tubes that are close to each other, and the welding joints are distributed on an upper side of the groove-type gap, and the welding joints communicate with the groove-type gap. In addition to the original welding joints, the adjacent water-cooled wall tubes are considered as a whole; and the gap between the water-cooled wall tubes is processed into a groove type and welded together with the welding joints, which increases the thickness of the weld seam at the tangent point and the safety factor, also facilitates performing radiographic non-destructive testing.

Abstract: A vibration damper comprises a clamp, a steel strand cluster, and two vibration absorbing heads, the clamp is mounted at a middle portion of the steel strand cluster, and the two vibration absorbing heads are respectively mounted at two ends of the steel strand cluster; the vibration absorbing head comprises a head portion, one end of the head portion is provided with a groove, a bottom surface of the groove is connected to the steel strand cluster, and a bending damper is disposed between the steel strand cluster and a sidewall of the groove; the bending damper has one end connected to the steel strand cluster via a fixing apparatus and the other end connected to the sidewall of the groove of the head portion via an adjusting apparatus; A bending degree of a bending damper can be adjusted via an adjusting apparatus.

Abstract: Disclosed is a reliability detection method for a certificate monitor service in a PKI certificate transparency system, including: sending a to-be-queried domain name set to one or more third-party certificate monitor service providers, and processing collected raw certificates output by the provider to obtain a certificate search result set; filtering and aggregating the certificate search result set to obtain a certificate reference set, detecting a difference between the certificate search result set and the certificate reference set; issuing reliability alert to the provider when a missing certificate and/or an irrelevant certificate in the certificate search result set; extracting features from a filtering result and a detecting result by using a feature extraction tool, analyzing the extracted features, generating a table of fault causes based on an analyzing result, and locating a fault of the provider according to the filtering result, the detecting result, and the table of fault causes.

Abstract: Embodiments herein relate to modifying the framework of an FFN module of a machine learning model. Modifications include an improved nonlinear function of that aims to decrease the number of hidden dimensions of the FFN module, thereby reducing the computational cost.

Abstract: A thin film transistor is provided. The thin film transistor is disposed on a base substrate and includes: a first active layer; a first gate disposed on a side of the first active layer; a first insulating layer disposed on a side of the first gate away from the base substrate; and a source and a drain. The first gate includes a stacked structure including: a first conductive layer; and a first barrier layer disposed on a side of the first conductive layer away from the base substrate, where a side of the first barrier layer away from the base substrate is in direct contact with a side of the first insulating layer proximate to the base substrate. The first barrier layer includes TiNx1, where 0?x1<0.2, and x1 is a molar ratio of N to Ti.

Abstract: A method for self-supervised microscopic image super-resolution processing, comprising: collecting original fluorescence image data of a biological sample using an optical imaging system; depending on the type of the optical imaging system performing image preprocessing on the collected original fluorescence image data using a computer, to obtain a training set, and, in the computer, training a neural network for image denoising and super-resolution processing using the training set, and using the trained neural network to process the original fluorescence image data, or using the optical imaging system to process additional fluorescence image data acquired for the same biological sample.

Abstract: Example embodiments of the present disclosure relate to resource selection for subnetworks. A first device obtains status information associated with a first subnetwork of the radio access network. The first device determines, based at least on the status information from at least a first mode and a second mode, a resource selection mode for selecting a resource for communication within the first subnetwork. The first device transmits, to a second device in the first subnetwork, configuration information at least associated with the determined resource selection mode.

Abstract: An angle adjustment lock and a display device including the angle adjustment lock. The angle adjustment lock includes: a lock body, the lock body being provided with a first guide portion; a first lock base, the first lock base being provided with a first mounting surface; a second lock base, provided on the lock body, and the second lock base being provided with a second mounting surface; and an adjustment assembly, including an operating member and a first transmission member, the operating member being movably arranged on the lock body, and the first guide portion is guidingly cooperated with the first transmission member, and when the operating member moves, the operating member drives the first lock base to move along a preset arc direction through the first transmission member, so as to adjust an angle between the first mounting surface and the second mounting surface.

Abstract: Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of interference weighting based sub-band selection procedure. The method comprises receiving, from a second device in a radio access network, a configuration for determining a weighted inter-subnetwork interference between a first subnetwork of the radio access network and at least one second subnetwork of the radio access network, wherein the configuration is indicative of at least one of a first weighting or a second weighting for the weighted inter-subnetwork interference; determining the weighted inter-subnetwork interference at least based on the configuration; and transmitting the weighted inter-subnetwork interference to the second device for selecting at least one sub-band for the first subnetwork.