Abstract: The present invention provides a method for forming a reversible membraneless organelle in microorganisms. In the present invention, in order to form a membraneless organelle in a host cell, an artificial short peptide sequence WGR-1 is fused on the basis of an intrinsically disordered protein RGG. Fusion of one WGR-1 sequence or two WGR-1 sequences connected in series can both effectively promote phase separation of RGG, thus forming a membraneless organelle in Saccharomyces cerevisiae, wherein the membraneless organelle RGG-(WGR-1)2 has a better liquid fluidity. RGG-x-(WGR-1)2 is further constructed by introducing an enzyme cleavage site x into the RGG-(WGR-1)2 system in the present invention, and the reversible formation of the membraneless organelle is achieved after expression of a protease is induced. The method of the present invention has important value in customizing and controlling cell functions and the like.

Abstract: The present invention provides a method for forming a reversible membraneless organelle in microorganisms. In the present invention, in order to form a membraneless organelle in a host cell, an artificial short peptide sequence WGR-1 is fused on the basis of an intrinsically disordered protein RGG. Fusion of one WGR-1 sequence or two WGR-1 sequences connected in series can both effectively promote phase separation of RGG, thus forming a membraneless organelle in Saccharomyces cerevisiae, wherein the membraneless organelle RGG-(WGR-1)2 has a better liquid fluidity. RGG-x-(WGR-1)2 is further constructed by introducing an enzyme cleavage site x into the RGG-(WGR-1)2 system in the present invention, and the reversible formation of the membraneless organelle is achieved after expression of a protease is induced. The method of the present invention has important value in customizing and controlling cell functions and the like.

Abstract: This application provides an electronic device and a heat dissipation system. The electronic device includes a plurality of shelves. Each shelf includes a first processor, a first mainboard, and a connector. The first mainboard in any shelf is separately connected to the first processor and the connector that are located in the same shelf. The connector in a first shelf is separately connected to the connector in at least one second shelf.

Abstract: A power consumption adjustment method is applied to a power consumption control module in a computing device, and includes: obtaining monitoring results of a power supply system and a component of the computing device, where the monitoring results include a voltage drop parameter of an internal module of the component, a bus voltage drop parameter of a voltage of an input bus in the power supply system, a first bus current parameter of a current of the input bus, and a load power parameter of a core current provided for the component; determining a power control level strategy based on the monitoring results, where the power control level strategy is used to adjust power consumption of the component based on the monitoring results of the power system and the component; and adjusting the power consumption of the component according to the power control level strategy.

Abstract: Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

Abstract: There are provided systems and methods for image repair of captured document images for document image submissions using generative artificial intelligence (AI). A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users, which may be used to engage in interactions with other users and entities including for electronic transaction processing. When utilizing these services, document verification may be required to verify a document. A user may capture an image of a document, such as a driver's license, and an image repair generative AI may determine if image repair may be necessary to improve an image quality of the image. The generative AI may be trained using multiple neural networks to generate and distinguish between different image qualities. The generative AI may therefore generate image data that improves the image quality and allows for verification of content in the image.

Abstract: A virtual object display method, a non-transitory computer-readable storage medium and an electronic device. The virtual object display method includes operations as follows. Localization is performed on the first device to determine a pose of the first device in a target coordinate system; a pose of a second device in the target coordinate system is determined, where the second device is configured to play audio; a virtual object corresponding to the audio is determined, and a pose of the virtual object in the target coordinate system is determined based on the pose of the second device in the target coordinate system; and in response to the second device is playing the audio, the virtual object is displayed on a display interface of the first device according to the pose of the first device in the target coordinate system and the pose of the virtual object in the target coordinate system.

Abstract: Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

Abstract: There are provided systems and methods for tethering face identifiers to digital accounts for secure authentications during computing activities. A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users, which may be used to engage in interactions with other users and entities including for electronic transaction processing. When utilizing these services, user identity verification may be required to provide secure authentication of users, which may be required to be performed quickly or in real-time for high-risk computing activities. A face identifier of a user may be established and tethered to the user's digital account, which may be used to secure authentication. When establishing, a proof of identity document and facial images of the user may be submitted, which may be processed using face recognition and matching machine learning models. The user's face identifier may then be generated for authentications.

Abstract: Provided are a robotic process automation system and method across operating systems. The system includes an automation process development platform, a control center, and a robot. The automation process development platform is configured to design a corresponding automation business process according to a business scenario requirement, translate the automation business process into a corresponding process code, perform cross-platform encapsulation on the process code, and package the encapsulated cross-platform process code and send the encapsulated cross-platform process code to the control center. The control center is configured to schedule the robot deployed in different operating systems to execute the automation business process corresponding to the cross-platform process code.

Abstract: There are provided systems and methods for interpretive and qualitative assessments of document image quality for document image submissions. A service provider, such as an electronic transaction processor for digital transactions, may provide computing services to users, which may be used to engage in interactions with other users and entities including for electronic transaction processing. When utilizing these services, document verification may be required to verify a document. A user may capture an image of a document, such as a driver's license, and an image quality assessment engine may process the image using a pipeline of neural networks configured to provide interpretive and qualitative assessments. A first neural network may determine key information fields present in the image for the document and a document type for the document in the image. A second neural network may then determine image data quality for the fields in the image.

Abstract: Provided are a robotic process automation system and method across operating systems. The system includes an automation process development platform, a control center, and a robot. The automation process development platform is configured to design a corresponding automation business process according to a business scenario requirement, translate the automation business process into a corresponding process code, perform cross-platform encapsulation on the process code, and package the encapsulated cross-platform process code and send the encapsulated cross-platform process code to the control center. The control center is configured to schedule the robot deployed in different operating systems to execute the automation business process corresponding to the cross-platform process code.

Abstract: Disclosed are a positioning method, an electronic device, and a storage medium. The method includes: converting, according to an intrinsic parameter matrix of an image acquisition module and depth values of multiple pixel points in a depth image captured by the image acquisition module, pixel coordinates of the multiple pixel points into camera coordinates; and matching the camera coordinates of the respective pixel points with target world coordinates of multiple voxels in a pre-established point cloud map, and obtaining a positioning result of the image acquisition module; wherein the target world coordinates of the respective voxels are obtained by updating initial world coordinates of the respective voxels according to multiple sample image pairs, and a sample image pair comprises a two-dimensional sample image and a depth sample image.

Abstract: This disclosure relates to a process for the dealumination of a zeolitic material including (1) providing a zeolitic material having a tetravalent element and a trivalent element; (2) providing an aqueous solution having a pH of less than 0.1; (3) treating the zeolitic material with the aqueous solution; and with an aqueous solution or with a solvent system, wherein the aqueous solution or the solvent system have a pH comprised in the range of from 4 to 10, wherein the pH of the aqueous solution or of the solvent system refers to the pH prior to contacting with the zeolitic material for treatment thereof. This disclosure also relates to a zeolitic material as obtained and/or obtainable according to said process.

Abstract: Techniques are disclosed relating to automatically determining image quality for images of documents. In some embodiments, a computer system receives an image of a document captured at a user computing device. Using a neural network, the computer system analyzes the image to determine whether the image satisfies a quality threshold, where the analyzing includes determining whether one or more features in the image used in an authentication process are obscured. The computer system transmits, to the user computing device, a quality result, where the quality result is generated based on an image classification output by the neural network. Automatically determining whether a received image of a document satisfies a quality threshold may advantageously improve the chances of a system being able to complete an authentication process quickly, which in turn may improve user experience while reducing fraudulent activity.

Abstract: A virtual object display method, a non-transitory computer-readable storage medium and an electronic device. The virtual object display method includes operations as follows. Localization is performed on the first device to determine a pose of the first device in a target coordinate system; a pose of a second device in the target coordinate system is determined, where the second device is configured to play audio; a virtual object corresponding to the audio is determined, and a pose of the virtual object in the target coordinate system is determined based on the pose of the second device in the target coordinate system; and in response to the second device is playing the audio, the virtual object is displayed on a display interface of the first device according to the pose of the first device in the target coordinate system and the pose of the virtual object in the target coordinate system.

Abstract: Disclosed are a positioning method, an electronic device, and a storage medium. The method includes: converting, according to an intrinsic parameter matrix of an image acquisition module and depth values of multiple pixel points in a depth image captured by the image acquisition module, pixel coordinates of the multiple pixel points into camera coordinates; and matching the camera coordinates of the respective pixel points with target world coordinates of multiple voxels in a pre-established point cloud map, and obtaining a positioning result of the image acquisition module; wherein the target world coordinates of the respective voxels are obtained by updating initial world coordinates of the respective voxels according to multiple sample image pairs, and a sample image pair comprises a two-dimensional sample image and a depth sample image.

Abstract: A fuel cell includes at least two single cells stacked adjacent to each other. A cathode plate (1) of one single cell is stacked adjacent to an anode plate (2) of an adjacent single cell. The cathode plate (1) includes a cathode plate body (11), the cathode plate body (11) has a cathode channel ridge (12) protruding towards the anode plate (2), and the cathode channel ridge (12) has a cathode channel (121) formed therein. The anode plate (2) includes an anode plate body (21), the anode plate body (21) has an anode channel ridge (22) protruding towards the cathode plate (1), and the anode channel ridge (22) has an anode channel (221) formed therein. A cooling channel (3) is formed between the cathode plate (1) and the anode plate (2). The anode channel ridge (22) and the cathode channel ridge (12) are intersected with each other.

Abstract: A fault diagnosis system is disclosed, including: a control unit, a first management board, a first pull-up unit, a second pull-up unit, a first pull-up switch, a second pull-up switch, and at least one central processing unit, the control unit is configured to receive physical partitioning information sent by the first management board, the first pull-up unit and the second pull-up unit are configured to pull up a fault indication signal of a fault diagnosis path to obtain a target signal, the first management board is configured to detect whether a level of the target signal is lower than a diagnosis threshold, and when the level of the target signal is lower than the diagnosis threshold, determine that a faulty central processing unit exists in the at least one central processing unit.

Abstract: According to embodiments of the present disclosure, a map constructing method, a positioning method, and a wireless communication terminal are provided. The map constructing method includes: a series of environment images of a current; first image feature information of the environment image is obtained, where the first image feature information includes feature point information and descriptor information and based on the first image feature information, a feature point matching is performed on the environment images to select keyframe images; depth information of matched feature points in the keyframe image are acquired, based on the feature point information; and map data of the current environment are generated based on the keyframe images, where the map data includes the image feature information and the depth information of the keyframe image.