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.

Abstract: A cloud water resource detecting system and method, the system includes computing device, and Raman lidar, microwave radiometer, millimeter wave cloud radar, wind profile radar and Doppler wind lidar in communication connection with the computing device. The Raman lidar and the microwave radiometer are configured to obtain temperature and humidity data of a cloud system. The millimeter wave cloud radar and the microwave radiometer are configured to obtain cloud water content profiles. The wind profile radar is configured to obtain a horizontal wind speed of the cloud system. The Doppler wind lidar is configured to obtain the vertical motion speed of a cloud bottom. The computing device is configured to calculate the total amount of cloud water according to the temperature and humidity data of the cloud system, the cloud water content profiles, the horizontal wind speed of the cloud system and the vertical motion speed of the cloud bottom.

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 cloud water resource detecting system and method, the system includes a computing device, and Raman lidar, microwave radiometer, millimeter wave cloud radar, wind profile radar and Doppler wind lidar in communication connection with the computing device. The Raman lidar and the microwave radiometer are configured to obtain temperature and humidity data of a cloud system. The millimeter wave cloud radar and the microwave radiometer are configured to obtain cloud water content profiles. The wind profile radar is configured to obtain a horizontal wind speed of the cloud system. The Doppler wind lidar is configured to obtain the vertical motion speed of a cloud bottom. The computing device is configured to calculate the total amount of cloud water according to the temperature and humidity data of the cloud system, the cloud water content profiles, the horizontal wind speed of the cloud system and the vertical motion speed of the cloud bottom.

Abstract: A data processing method, apparatus, medium and terminal thereof are disclosed in the present disclosure, the method comprising: determining data-to-be-processed based on data provided by a data provider, the data-to-be-processed includes plaintext description data; storing the plaintext description data to a database, the database may be used to support a search engine; and in response to confirmation of search results from the search engine by a data requestor, triggering a smart contract running on blockchain, the smart contract includes communication and records between the data requestor and the data provider. The technical solution in some embodiments improves search efficiency of data in blockchain technology applications.

Abstract: A method and apparatus for enhancing audio processing between a transmit radio (230) and a receive radio (240) are provided. Digitized audio frames (202) are applied to parallel inputs of both a vocoder encoder (204) and a trill encoder 212 of the transmit radio (230). The vocoder encoder (204) generates voice bits which are communicated over a voice bits channel (206) to a vocoder decoder (208) of the receive radio (240). Trill encoder (212) generates signaling bits which are communicated over a signaling bits channel (214) to a trill decoder (216) of the receive radio (240) for recovery of trill information (218). At the receive radio (240), a decoded audio signal (209) generated from the vocoder decoder (208), and the recovered trill information (218) are both provided as inputs to a trill reconstructor stage (220) to generate a recovered audio signal (222) having a reconstructed trill.

Abstract: A method and apparatus for enhancing audio processing between a transmit radio (230) and a receive radio (240) are provided. Digitized audio frames (202) are applied to parallel inputs of both a vocoder encoder (204) and a trill encoder 212 of the transmit radio (230). The vocoder encoder (204) generates voice bits which are communicated over a voice bits channel (206) to a vocoder decoder (208) of the receive radio (240). Trill encoder (212) generates signaling bits which are communicated over a signaling bits channel (214) to a trill decoder (216) of the receive radio (240) for recovery of trill information (218). At the receive radio (240), a decoded audio signal (209) generated from the vocoder decoder (208), and the recovered trill information (218) are both provided as inputs to a trill reconstructor stage (220) to generate a recovered audio signal (222) having a reconstructed trill.

Abstract: A high-temperature superconducting film includes a SrTiO3 substrate, a single crystalline FeSe layer, and a protective layer with a layered crystal structure. The single crystalline FeSe layer is sandwiched between the SrTiO3 substrate and the protective layer via a layer-by-layer mode. An onset temperature of superconducting transition of the high-temperature superconducting film is greater than or equal to 54 K, and a critical current density of the high-temperature superconducting film is about 106 A/cm2 at 12 K.

Abstract: A method for making a high-temperature superconducting film includes loading a SrTiO3 substrate in an ultra-high vacuum system. A single crystalline FeSe layer is grown on a surface of the SrTiO3 substrate by molecular beam epitaxy. A protective layer with a layered crystal structure is grown by molecular beam epitaxy and covering the single crystalline FeSe layer.

Abstract: A method for making a high-temperature superconducting film includes loading a SrTiO3 substrate in an ultra-high vacuum system. A single crystalline FeSe layer is grown on a surface of the SrTiO3 substrate by molecular beam epitaxy. A protective layer with a layered crystal structure is grown by molecular beam epitaxy and covering the single crystalline FeSe layer.