Abstract: An emulsion, an emulsion gel electrolyte, an aerogel, as well as a preparation method and a use; wherein the emulsion is an oil-in-water emulsion. An oil phase is a solution of decane dispersed with an upconversion nanomaterial and a water phase contains a polymerizable ionic liquid. The gel electrolytes and aerogel electrode materials prepared based on this emulsion have greatly improved the electrochemical performance of supercapacitors.

Abstract: A salfaprodil freeze-dried powder injection, and a preparation method thereof and the use thereof are proposed. The preparation method may include adding salfaprodil into water for injection, filtering after the salfaprodil is completely dissolved, and adjusting pH of filtrate with an alkaline substance water solution. The method may also include adding the injection water to achieve a constant volume, filling with an inert gas for protection, and performing sterilization and filtration to obtain a salfaprodil solution, which is then freeze-dried to obtain the salfaprodil freeze-dried powder injection.

Abstract: A rear view mirror control method is provided and may be performed by a control apparatus. The control apparatus may be implemented as a component in a vehicle, for example, a chip, a chip system, or another functional module that can invoke a program and execute the program. The method includes: The control apparatus determines an intention of a user for controlling the vehicle to enter a traveling status or an intention of the user for controlling the vehicle to switch the traveling status, where the traveling status may include, for example, a forward traveling state or a backward traveling state, to automatically adjust a rear view mirror and avoid manual adjustment on the rear view mirror, so as to improve driving experience and traveling safety of the user especially when the traveling status is frequently entered or the traveling status is frequently switched.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a most accurate data source to be used to respond to a query and responding with a result using data from the selected data source. In one aspect, a method includes receiving, from a user, an input query related to user interactions with a platform for one or more users of the platform. The input query is processed to select a data source to be used for responding to the input query. The output includes a likelihood that a first result corresponding to the input query obtained using a first data source has a higher accuracy than each of one or more second results corresponding to the input query obtained using one or more second data sources. A result corresponding to the input query is obtained using the selected data source and the result is provided.

Abstract: The application discloses a roll paper cutting device. The roll paper cutting device adopts an improved opening and closing design. When paper cutting is required, the left semi-cylinder and the right semi-cylinder can be opened, and the left semi-cylinder and the right semi-cylinder can be closed after paper is put in, and then the paper can be cut with a blade. This design is more convenient for putting in roll paper, and it is also more convenient to change and cut other roll paper.

Abstract: The present disclosure provides a data maximum/minimum value (max/min) aggregation method and system for privacy protection. A Paillier cryptosystem is used to encrypt user data, so as to protect privacy and security of user health data. Further, time aggregation is implemented to help a control center obtain an overall health condition of a client in one aggregation period. By using a homomorphic property of the Paillier cryptosystem, the present disclosure implements aggregation of a max/min of privacy protection, and helps the control center obtain a max or a min of health data of the client in the aggregation period.

Abstract: A method includes receiving geophysical data representative of a geophysical structure; providing the geophysical data as one or more input data to a neural network; training the neural network to reconstruct the geophysical structure that was received and provide one or more uncertainty metrics for one or more features of the geophysical structure that is reconstructed; reconstructing, using the neural network that has been trained, the geophysical structure; and determining, using the neural network that has been trained, the one or more uncertainty metrics by implementing a second drop out condition on the one or more nodes of the one or more hidden layers of the neural network. The training is performed at least partially by implementing a first drop out condition on one or more nodes of one or more hidden layers of the neural network to randomly set an output of the one or more nodes to zero.

Abstract: A rocker box for use on a rocker chair is provided. The rocker box includes a base plate; a rocker plate spaced from the base plate and pivotally coupled to the base plate at a pivot axis; a pair of springs extending between the base plate and the rocker plate, the springs being coupled on one end to the base plate and on the other end to the rocker plate; and a spacer extending between the springs and each of the base plate and the rocker plate, such that the first springs do not directly contact the surface of the base plate or the rocker plate.

Abstract: An emulsion, an emulsion gel electrolyte, an aerogel, as well as a preparation method and a use; wherein the emulsion is an oil-in-water emulsion. An oil phase is a solution of decane dispersed with an upconversion nanomaterial and a water phase contains a polymerizable ionic liquid. The gel electrolytes and aerogel electrode materials prepared based on this emulsion have greatly improved the electrochemical performance of supercapacitors.

Abstract: A method includes receiving well log data comprising a plurality of well logs, identifying one or more sections of one or more well logs of the plurality of well logs that have substantially complete data, training a reconstruction neural network to reconstruct incomplete well logs based on the one or more sections of the one or more well logs that have substantially complete data, and reconstructing one or more incomplete well logs of the plurality of well logs using the reconstruction neural network.

Abstract: A method for seismic processing includes extracting, using a first machine learning model, one or more seismic features from seismic data representing a subsurface domain, receiving one or more well logs representing one or more subsurface properties in the subsurface domain, and predicting, using a second machine learning model, the one or more subsurface properties in the subsurface domain at a location that does not correspond to an existing well based on the seismic data, the one or more well logs, and the one or more seismic features that were extracted from the seismic data.

Abstract: The present disclosure relates to a searchable encrypted data sharing method and system based on blockchain and homomorphic encryption, which protects security of sensitive data on the blockchain and realizes searchable and homomorphic calculation of data ciphertext. According to the present disclosure, a data owner encrypts the generated sensitive data and the keywords extracted according to the data with his own key, and then sends the encrypted transaction information to the cloud server. The cloud server verifies the identity of the data owner. If the verification succeeds, the uploaded ciphertext data is stored on a local server, and a ciphertext index, keyword ciphertext and related evidences of the data storage are uploaded to an alliance chain. The alliance chain node verifies the consistency of the uploaded transaction information, and if the verification succeeds, the transaction information is recorded.

Abstract: The present disclosure provides a data maximum/minimum value (max/min) aggregation method and system for privacy protection. A Paillier cryptosystem is used to encrypt user data, so as to protect privacy and security of user health data. Further, time aggregation is implemented to help a control center obtain an overall health condition of a client in one aggregation period. By using a homomorphic property of the Paillier cryptosystem, the present disclosure implements aggregation of a max/min of privacy protection, and helps the control center obtain a max or a min of health data of the client in the aggregation period.

Abstract: A salfaprodil freeze-dried powder injection, and a preparation method thereof and the use thereof are proposed. The preparation method may include adding salfaprodil into water for injection, filtering after the salfaprodil is completely dissolved, and adjusting pH of filtrate with an alkaline substance water solution. The method may also include adding the injection water to achieve a constant volume, filling with an inert gas for protection, and performing sterilization and filtration to obtain a salfaprodil solution, which is then freeze-dried to obtain the -salfaprodil freeze-dried powder injection.

Abstract: A spring mechanism for a rocker assembly is disclosed, the spring mechanism being connected to a rocker mechanism of the rocker assembly to assist a rocker member of the rocker mechanism in returning from a rocking position to a rest position, wherein the spring mechanism comprises two mounting plates opposed at a spacing and two springs connected between the two mounting plates, each of the mounting plates being provided with holding structures for holding each of the springs in place on the mounting plate, wherein a spacer is provided between each mounting plate and each spring to avoid the mounting plate from contacting at least one turn of the spring.

Abstract: A method includes receiving geophysical data representative of a geophysical structure; providing the geophysical data as one or more input data to a neural network; training the neural network to reconstruct the geophysical structure that was received and provide one or more uncertainty metrics for one or more features of the geophysical structure that is reconstructed; reconstructing, using the neural network that has been trained, the geophysical structure; and determining, using the neural network that has been trained, the one or more uncertainty metrics by implementing a second drop out condition on the one or more nodes of the one or more hidden layers of the neural network. The training is performed at least partially by implementing a first drop out condition on one or more nodes of one or more hidden layers of the neural network to randomly set an output of the one or more nodes to zero.