Abstract: Display substrate, method for manufacturing the same, and display device are disclosed. The display substrate comprises: a base substrate comprising a display region and a peripheral region located at a periphery of the display region, the display region comprises at least two display sub-regions; the display substrate further comprises scanning lines and sub-pixels, wherein the scanning lines comprise first scanning lines comprising at least two scanning line segments independent from each other, and the at least two scanning line segments are located in different display sub-regions; and the sub-pixels are divided into rows of sub-pixels, the rows of sub-pixels comprise a target row of sub-pixels which is divided into at least two sub-pixel groups located in different display sub-regions, and the scanning line segment is coupled to each sub-pixel in a corresponding sub-pixel group belonging to a same display sub-region.

Abstract: Provided is a display panel. The display panel includes: a base substrate having a display region and a peripheral region surrounding the display region; a plurality of pixel units disposed in the display region and including a light-emitting unit; a barrier structure disposed in the peripheral region and surrounding the plurality of pixel units; a connecting structure disposed in the peripheral region; a first insulating layer disposed between the first electrode layer and the base substrate, wherein a via hole is formed in a portion of the first insulating layer in the peripheral region; a circuit structure disposed in the peripheral region and including a first circuit structure; a second insulating layer disposed on a side of the second metal layer; and a third insulating layer disposed on a side of the second insulating layer and including a body pattern.

Abstract: A driving circuit includes a driving signal generation circuit, a gating circuit, an output control circuit and an output circuit; the driving signal generation circuit generates and outputs the Nth stage of driving signal; the gating circuit controls to write the gating input signal into the first node; the output control circuit performs a NAND operation on the Nth stage of driving signal and the potential of the second terminal of the output control circuit to obtain a first output signal; the output circuit inverts the first output signal to obtain and provide an output driving signal through the output driving terminal; N is a positive integer.

Abstract: A driving circuit includes a driving signal generation circuit, a gating circuit, an output control circuit, a voltage control circuit and an output circuit; the driving signal generation circuit generates the Nth stage of driving signal; the gating circuit writes a gating input signal into the first node under the control of a gating control signal; the output control circuit connects the first control node and the second node under the control of a potential of the first node; the voltage control circuit controls a potential of the second node according to the potential of the first node; the output circuit connects the output driving terminal and the first voltage terminal under the control of the potential of the second node, and connects the output driving terminal and the second voltage terminal under the control of the potential of the second control node; N is a positive integer.

Abstract: The invention belongs to the technical field of batteries, and discloses a phosphate-based flame-retardant electrolyte and a lithium-metal battery, and the phosphate-based flame-retardant electrolyte consists of a lithium salt, a phosphate solvent and a diluent. According to the invention, dimethyl (2-methoxyethoxy)methylphosphonate or diethyl (2-methoxyethoxy)methylphosphonate is used as a novel phosphate solvent, an electrolyte system with local high salt concentration is adopted, most phosphate solvent molecules are complexed with Li+ at the local high salt concentration by adjusting dosages of the lithium salt, the phosphate solvent and the diluent, so almost none of free solvent molecules exist, thus inhibiting irreversible decomposition of phosphate molecules on a surface of a li-anode, and meanwhile, the flame retardancy of the phosphate solvent greatly improves the safety of the lithium-metal battery.

Abstract: Self-tuning merged code testing is provided which includes testing merged code using a suite of test cases, where the merged code includes one or more code changes, and obtaining, based on the testing, a test case failure using the suite of test cases. Further, the process includes determining, using an artificial intelligence engine, a likely faulty code change of the one or more code changes resulting in the test case failure, and customizing, based on the likely faulty code change, the suite of test cases to facilitate verifying that the likely faulty code change is a faulty code change. In addition, the process includes continuing testing of the merged code using the customized suite of test cases to facilitate verifying that the likely faulty code change is the faulty code change.

Abstract: A reminder method includes: displaying a group session interface of the group session, the group session being a group session in which a group member is allowed to use a group tool, the group tool being a program function that supports use by at least two group members together; displaying a group tool message on the group session interface, the group tool message including an entry link of the group tool; displaying, in response to that the group tool message is a message with a group attribute, a reminder control corresponding to the group tool in the group session interface, the reminder control being used as a reminder of an item in the group tool. The present disclosure provides a human-computer interaction solution for effectively transmitting the group tool message to the group member.

Abstract: Disclosed is a method for gene expression by transient transformation of a wild rice seed using Agrobacterium. The method includes the following steps: subjecting a wild rice seed to induction culture and subculture in sequence, and selecting a resulting callus with a dense structure to allow pre-culture to obtain a pre-cultured callus; transforming a 1305Ubi-Ubi-GFP-H plasmid carrying a green fluorescent protein (GFP) gene into an Agrobacterium strain EHA105 or LBA4404 to obtain a positive Agrobacterium strain; subjecting the positive Agrobacterium strain to culture to obtain a bacterial suspension with an optical density (OD) value of 0.02 to 0.5 at a wavelength of 600 nm to obtain an infection bacterial solution; and infecting the pre-cultured callus with the infection bacterial solution to allow co-culture and recovery culture in sequence; observing an infection status of a recovered callus under a stereo fluorescence microscope, and calculating a transient expression rate.

Abstract: In one embodiment, a method of building an optimized color flow cytometry panel is disclosed using a full spectrum flow cytometer with five excitation lasers and five corresponding detection modules. In another embodiment, a graphical user interface is disclosed generated by a server computer from a fluorochrome database and displayed by a client computer to assist in the selection of a set of fluorochromes for use in an assay to analyze biological samples. The GUI can display spectra graphs to visually show how fluorochromes may overlap and can generate similarity indexes for the paired fluorochrome interference and a complexity index for overall many to many interferences generated by a selected group or set of fluorochromes.

Abstract: Systems and methods are provided that include a processor executing a program to process an initial image through a first diffusion stage to generate a final first stage image, wherein the first diffusion stage includes using a diffusion model, a gradient estimator model smaller than the diffusion model, and a text-image match gradient calculator. The processor further executes the program to process the final first stage image through a second diffusion stage to generate a final second stage image. The second diffusion stage includes, for a second predetermined number of iterations, inputting the final first stage image to through the diffusion model, back-propagate the image through the text-image match gradient calculator to calculate a second stage gradient against the input text, and update the final first stage image by applying the second stage gradient to the final first stage image.

Abstract: The present disclosure provides systems and methods for generating a synthesized image of a user with a trained machine learning diffusion model. In one example, a computing system includes one or more processors configured to execute instructions stored in memory to execute a trained machine learning diffusion model including an image encoder, a text encoder, and a diffusion model. The image encoder is configured to receive an image of a user and generate a set of embeddings that semantically describe visual features of the user based at least on the image of the user. The text encoder is configured to receive the set of embeddings and generate an input feature vector based at least on the set of embeddings. The diffusion model is configured to receive the input feature vector and generate a synthesized image of the user based at least on the input feature vector.

Abstract: Systems and methods are provided that include a processor executing a program to process an initial image through a first diffusion stage to generate a final first stage image, wherein the first diffusion stage includes using a diffusion model, a gradient estimator model smaller than the diffusion model, and a text-image match gradient calculator. The processor further executes the program to process the final first stage image through a second diffusion stage to generate a final second stage image. The second diffusion stage includes, for a second predetermined number of iterations, inputting the final first stage image to through the diffusion model, back-propagate the image through the text-image match gradient calculator to calculate a second stage gradient against the input text, and update the final first stage image by applying the second stage gradient to the final first stage image.

Abstract: A computer-implemented method of training an autoencoder to recover missing data is provided. The autoencoder includes an encoder for encoding its inputs into a latent space and a decoder for decoding the encodings from the latent space. The method comprises creating a first training set including a valid data set of multiple dimensions, and training the encoder and the decoder in a first training stage using the first training set to reduce a difference between the valid data set provided to the encoder and a data set decoded by the decoder. The method further comprises creating a second training set comprising an invalid data set, and training the encoder in a second training stage using the second training set to reduce a difference between encodings of valid data instances and encodings of their corresponding invalid data instances.

Abstract: Embodiments of the disclosure include methods and compositions for the treatment of neovascularization- and ischemic retinopathy-related disorders. In some embodiments, a composition comprising an effective amount of an apoA-I binding protein or its agonist in combination with anti-VEGF reagents is administered to an individual in need thereof to treat, prevent, reverse, and/or meliorate conditions associated with macular degeneration or cancer. In some embodiments, a composition comprising an effective mount of an AIBP-inhibitor is administered to an individual in need thereof to stimulate revascularization in the eye to treat, prevent, reverse, and/or ameliorate conditions associated with ischemic retinopathies.

Abstract: A system may be disclosed in the present disclosure, comprising: an interface service unit configured to perform at least one of sending data to or receiving data from one or more users via a user interface; and a transmission unit including: a blockchain adaptor configured to transmit data to a plurality of different types of blockchains, via a blockchain interface, according to data format and communication mode requirements of each of the plurality of different types of blockchains and a transmission controller configured to trigger a smart contract running on a blockchain of the plurality different types of blockchains via the blockchain interface, and control a data transmission under instructions from the smart contract, wherein the data transmission is based on data received from the user interface.

Abstract: A data transmission platform for data transmission using a blockchain is configured to receives ciphertext data from a data provider, wherein the ciphertext data include transmitted data authenticated by the data transmission platform and encrypted by the data provider; identifies a target data requestor; creates a smart contract according to a data transmission requirement of the target data requestor; uploads the smart contract to a blockchain; sends a data transmission request to the data provider; re-encrypts the ciphertext data to obtain re-encrypted data using a re-encryption key generated by the data provider; triggers the smart contract to send the data transmission demand of the data requestor to the data provider; and notifies the data requester to extract the decrypted data and perform decryption to obtain the transmitted data.

Abstract: Provided is a composition comprising the following components: a) bendamustine or a salt thereof, b) a cyclodextrin, and c) an optional stabilizer, wherein the stabilizer is selected from an inorganic or organic substance containing chlorine element, lipoic acid, thioglycerol, polyvinylpyrrolidone and any combination thereof, and wherein the mass ratio of the bendamustine or the salt thereof to the cyclodextrin is 1:5 to 1:100. Further provided is a method for preventing or treating a cancer using the composition and the use of the composition in the preparation a medicament for treating a cancer.

Abstract: A computer-implemented method of training an autoencoder to recover missing data is provided. The autoencoder includes an encoder for encoding its inputs into a latent space and a decoder for decoding the encodings from the latent space. The method comprises creating a first training set including a valid data set of multiple dimensions, and training the encoder and the decoder in a first training stage using the first training set to reduce a difference between the valid data set provided to the encoder and a data set decoded by the decoder. The method further comprises creating a second training set comprising an invalid data set, and training the encoder in a second training stage using the second training set to reduce a difference between encodings of valid data instances and encodings of their corresponding invalid data instances.

Abstract: A data transmission platform for data transmission using a blockchain is configured to receives ciphertext data from a data provider, wherein the ciphertext data include transmitted data authenticated by the data transmission platform and encrypted by the data provider; identifies a target data requestor; creates a smart contract according to a data transmission requirement of the target data requestor; uploads the smart contract to a blockchain; sends a data transmission request to the data provider; re-encrypts the ciphertext data to obtain re-encrypted data using a re-encryption key generated by the data provider; triggers the smart contract to send the data transmission demand of the data requestor to the data provider; and notifies the data requester to extract the decrypted data and perform decryption to obtain the transmitted data.