Abstract: Provided are a flexible molecularly imprinted sensor for in-situ and in-vivo detection of gamma-aminobutyric acid content in plants, and a preparation method and a detection method thereof. The flexible molecularly imprinted sensor includes: a flexible substrate and a graphene electrode unit, the graphene electrode unit being arranged on the flexible substrate, where the graphene electrode unit includes a conductive track, a working electrode, a counter electrode, and a reference electrode, where the counter electrode and the reference electrode are respectively located on two sides of the working electrode, and the working electrode is successively provided from inside to outside with a first modification layer, a second modification layer, and a third modification layer, the first modification layer including an AuNPs material, the second modification layer including an Fc-Ni3(HITP)2-ZnFe-LDH material, and the third modification layer including a molecularly imprinted polymer (MIP) material.

Abstract: A data sharing method and a data sharing apparatus based on a blockchain are provided, aiming to solve the problem that the existing data sharing cannot meet the sharing requirement of a multi-party collaborative complex scene of combining an industrial blockchain, an Internet of things and an industrial Internet, which relates to the technical field of the blockchain technology. The method includes: creating a multi-chain shared network structure matched with a target service scene, creating shared data and cross-chain link structure of original data, and storing the shared data and cross-chain link structure on the service chain through the cross-chain router; and when the service system sends a query transaction of a target service chain through the cross-chain router, querying a target shared data and cross-chain link structure of the target service chain, and further querying the linked shared data and cross-chain link structure of the linked service chain.

Abstract: The present disclosure relates to a method and apparatus for fast Monte Carlo (MC) dose calculation using a virtual source model (VSM).

Abstract: A method and a system for large-scale linear circuit simulation, a circuit simulator and a storage medium are provided. The method includes: constructing ordinary differential equations for a linear circuit and converting the ordinary differential equations into a large-scale sparse system of linear equations; performing column reordering on a coefficient matrix of the large-scale sparse system of linear equations, obtaining a pre-reordered matrix; utilizing partitioning partition algorithm to perform row-column reordering, obtaining a doubly bordered-block diagonal matrix; employing a plurality of compute nodes, solving for local Schur complements of each of the distributed nodes, and summing up the local Schur complements to obtain a global Schur complement; solving for states of each of the distributed nodes at a current time step; and converting solution results from all time steps of each of the distributed nodes into a simulation result.

Abstract: A spatial light modulator sequentially includes a conducting layer (101), a phase change material layer (102), a first dielectric layer (103) including a micro-nano structure (106), a pixel layer (104), and a circuit control layer (105) in a first direction. The conducting layer (101) is configured to regulate a to-be-modulated electromagnetic wave, the phase change material layer (102) is configured to perform reversible transformation between different phase states, the first dielectric layer (103) is configured to isolate the pixel layer (104) from the phase change material layer (102), the micro-nano structure (106) is configured to reflect the to-be-modulated electromagnetic wave, each pixel in the pixel layer (104) is configured to independently control an optical property of an electromagnetic wave interacting with the pixel, and the circuit control layer (105) is configured to independently control each pixel.

Abstract: A method and a system for compiling a neural network, a computer storage medium, and a compilation device are provided. The method for compiling the neural network comprises: translating a network file into an intermediate representation file; optimizing the intermediate representation file to obtain an optimized intermediate representation file, based on a performance analysis, single-node optimization, and collaborated optimization; generating a network template file based on hardware interfaces through the optimized intermediate representation file; compiling the network template file into an executable inference application. The present disclosure aims to design and implement an automated compilation toolchain framework. This framework adjusts parameters, generates code, creates intermediate representations (IRs), and applies optimization algorithms based on software and hardware information.

Abstract: A resource allocation method, a medium and a server are provided. The resource allocation method includes: obtaining tasks executable by the server as first tasks; obtaining first data processing models each corresponding to one of the first tasks, wherein each of the first data processing models includes one or more operators; performing a resource allocation on each operator in each of the first data processing models to obtain a quantity of resource used by the operator; and obtaining second tasks when the server receives a task request from a user, wherein the second tasks include current tasks of the server and tasks corresponding to the task request from the user; when the number of the second tasks is greater than one, a coordinated resource allocation sub-method is executed. The resource allocation method described in the present disclosure can be applied to complex scenarios involving multiple data processing models.

Abstract: A resource control method includes intercepting, by an interception module running in a kernel state, a system call request initiated by a process to a kernel driver in an operating system. The system call request includes a process ID of the process and address information of a target graphics memory buffer area that the process requests a GPU to allocate. The method further includes determining, by a configuration management module running in the kernel state and based on the process ID, a target container running the process, obtaining, by the configuration management module, a limited usage of GPU resources configured for the target container to use, and configuring, by a resource management module running in the kernel state and based on the limited usage, an operation permission of the process to the target graphics memory buffer area.

Abstract: A support system includes a platform for floatation at a surface of a body of water. The platform includes a first pontoon and a set of second pontoons coupled to the first pontoon. Each second pontoon includes a container, a pair of spaced-apart and gas-filled compressible elements disposed in the container, a liquid filling the container between the pair of compressible elements, and a gas flow controller coupled to each compressible element and operable to control a flow of the gas between the compressible elements.

Abstract: A support system includes a platform floating at a surface of a body of water, a set of mooring elements, and a set of motion dampers. Each mooring element is rigidly coupled to the platform and to a bottom of the body of water. Each motion damper is coupled to the platform. Each motion damper includes a spool, a line, and a rotation controller. The line is coupled to and partially wound on the spool and has an end rigidly coupled to the bottom of the body of water wherein a tension force in the line is affected by rotation of the spool. The rotation controller is coupled to the spool and is operable to control the rotation of the spool based on the tension force in the line.

Abstract: The present invention relates to a compound of formula (I); an organic semiconducting layer, an organic electronic device, a display device or a lighting device comprising the same.

Abstract: The present disclosure provides a method for optimizing parameters of a ladder-type carbon trading mechanism based on an improved particle swarm optimization (IPSO) algorithm. The method first obtains information and operating data of a park-level integrated energy system, establishes equipment models and constraints of the park-level integrated energy system, and establishes a ladder-type carbon trading model; then encapsulates a process of optimized low-carbon dispatching of the park-level integrated energy system as a fitness function whose input is parameters of a carbon trading mechanism and output is a carbon emission of the system; and finally, introduces an IPSO algorithm to optimize the fitness function, and outputs optimization result information of the algorithm. The present disclosure verifies effectiveness and rationality of the model and the method that give full play to a role of the ladder-type carbon trading mechanism in the park-level integrated energy system through example analysis.

Abstract: The present disclosure relates to a method and apparatus for smart interpolation of annotations on tomographic images. The method includes receiving 3D images obtained by a CT, MRI or PET system, receiving label with contours of regions-of-interest (ROIs) if label is available for the received 3D images either from automatic segmentation algorithm or manual segmentation, creating an empty label if label is not available, recording user changes on each 2D slices of the label, finding two neighboring 2D slices that the user has edited, running interpolation on the user changes, applying the interpolated changes to each 2D slices not edited by the user, and performing post-processing to output the final 3D segmentation of ROIs.

Abstract: The present application provides a method and system, a device, and a medium. The method for information processing includes: obtaining an information processing state, wherein the information processing state is used for characterizing a processing state for target information, and the target information is generated according to input information on a dialogue page of a digital assistant; determining, according to the information processing state, display content matched with the information processing state; and displaying, on the dialogue page of the digital assistant, the display content matched with the information processing state. The method reduces the interaction complexity of users in a human-computer dialogue process and improve the operation experience of users.

Abstract: The present invention relates to a compound having the formula (I); and an organic semiconducting layer, an organic electronic device, a display device and a lighting device comprising the same.

Abstract: A quality assurance device for a medical accelerator includes a housing having an inner radioluminescent layer adapted to provide a visual indication when contacted with invisible radiation generated by the medical accelerator. In addition, the quality assurance device includes one or more cameras located within the housing and adapted to image the inner radioluminescent layer of the housing including the visual indication.

Abstract: The present disclosure relates to a method and apparatus for automatic head and neck organ segmentation.