Abstract: A method of monitoring parameters of an electrical installation comprises performing plural successive iterations of a process in which a difference between a current set of one or more monitored parameters of the electrical installation and a previous set of one or more monitored parameters of the electrical installation is compared to a threshold criterion. When the difference is determined as exceeding the threshold criterion, the current set of one or more monitored parameters is transmitted and/or stored. Conversely, when the difference is determined as not exceeding the threshold criterion, the current set of one or more monitored parameters is not transmitted and/or not stored. This can help to reduce the consumption of data bandwidth and/or data storage.

Abstract: The present disclosure relates to a composite temperature control plate and a battery pack. The composite temperature control plate includes a temperature control layer and a protective layer. The temperature control layer is configured to lower or raise a temperature of the battery pack. The protective layer is laminated and fixed on the temperature control layer. The protective layer includes a heat insulating layer. The heat insulating layer is made of a heat insulating material. The protective layer includes a mounting portion extending at least to an periphery of the temperature control layer. The mounting portion is configured to connect with outside.

Abstract: Disclosed herein are methods and systems for correlating continuous physiological processes (e.g., electrophysiological activity) and biomolecular processes (e.g., gene expression) in cells within a tissue. Also disclosed herein are methods for preparing a tissue for continuous electrophysiological recording. Further disclosed herein are systems comprising nanoelectronic devices within cells in a tissue, wherein each nanoelectronic device comprises a unique electronic barcode. The methods and systems described herein comprise any tissue with electrical activity (e.g., brain tissue, heart tissue, nervous system tissue, muscle tissue, pancreas tissue, or gastrointestinal tract tissue). Additionally disclosed herein are methods for disease modeling, methods for discovering a target for treating a disease, and methods for drug screening.

Abstract: The present disclosure provides a display substrate, a display panel and a display apparatus, belonging to the field of display technology. The display substrate includes a base, a plurality of common electrodes and a plurality of common electrode lines, the common electrodes are distributed on the base in an array, the common electrode lines extend along a row direction, and each common electrode line is connected to a corresponding row of common electrodes. The common electrode line is connected to the common electrode through a conductive connection portion, and the conductive connection portion includes conductive structures stacked on top of one another in a plurality of layers. The display substrate can reduce the resistance between the common electrode and the common electrode line, thereby reducing the voltage difference between the common electrodes in the display substrate and improving the uniformity of the common voltage therein.

Abstract: The present disclosure provides an information processing method and apparatus, a terminal, and a storage medium. The information processing method, comprising: in response to a first operation event for a target entity word in displayed content, acquiring target entity word information associated with the target entity word, wherein the target entity word information comprises first information and second information, the first information comprising the meaning of the target entity word, and the second information comprising a communication identifier of a communication group or contact associated with the target entity word; and displaying the target entity word information. According to the present disclosure, the meaning of the target entity word is displayed, and the communication group or contact associated with the target entity word is displayed, such that the user can quickly define the group or contact associated with the target entity word.

Abstract: The present disclosure provides a display substrate, including: a display area and a bonding area positioned on a side of the display area, the bonding area includes a plurality of bonding sub-areas arranged at intervals, the bonding sub-areas are arranged along a direction in which an edge of the display area extends and configured for bonding a chip-on-film, where a first antistatic layer is further arranged on the bonding area, at least a part of the first antistatic layer is positioned between adjacent ones of the bonding sub-areas, and the first antistatic layer is electrically coupled to a reference signal terminal. The present disclosure further provides a display device.

Abstract: A computing platform (10), a method, and an apparatus (20) for spiking neural network (SNN) learning and simulation are provided. The computing platform (10) includes a neuron dynamics simulation module (11), a neuron conversion module (12), an SNN construction and weight learning module (13), and a neural network level parameter and weight access module (14). The neuron dynamics simulation module (11) simulates changing features of neurons. The neuron conversion module (12) performs operations on a calculation graph. The SNN construction and weight learning module (13) updates and iterates connection weights. The neural network level parameter and weight access module (14) stores overall network detail parameters.

Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Abstract: A target tracking method and a target tracking system of a spiking neural network based on an event camera are provided. The method includes: acquiring a data stream of asynchronous events in a high dynamic scene of a target by an event camera as input data; dividing the data stream of the asynchronous events into synchronous event frames with millisecond time resolution; training a twin network based on a spiking neural network by a gradient substitution algorithm with a target image as a template image and a complete image as a searched image; and tracking the target by a trained twin network with interpolating a result of feature mapping to up-sample and obtaining the position of the target in an original image. The twin network includes a feature extractor and a cross-correlation calculator.

Abstract: A liquid crystal/polymer composite electrically controlled dimming film is provided, including a liquid crystal material, a polymer matrix, and two layers of conductive substrates. The polymer matrix is sandwiched between the two layers of conductive substrates, and the polymer matrix has a porous microstructure. The liquid crystal material is dispersed in the polymer matrix to form liquid crystal microdroplets, and the liquid crystal microdroplets have vertically oriented polymer networks. The liquid crystal/polymer composite electrically controlled dimming film has a unique composite microstructure. In this composite microstructure, the polymer matrix of the porous microstructure gives the film with good mechanical processing performance.

Abstract: An approach is disclosed herein for dynamic design switching for high performance mixed signal simulation. Disclosed herein is a new approach to simulation processes that allows for different segments of a design to be swapped out without requiring re-elaboration. This is an improvement over current techniques and decreases the amount of time need to simulate a design. In some embodiments, the technique illustrated herein is combined with an automated triggering mechanism that controls the selection of alternate representations for the same element base on those triggers. In some embodiments a new multiplexor structure is provided that is specifically tailored to solving the present issue.

Abstract: Provided are compositions and methods for enhanced prime editing, which include a pegRNA that encodes a target mutation in a target protein, along with one or more nearby silent or conservative mutations. These silent mutations can increase the editing efficiency, without causing a change to the target protein sequence. Also provided are compositions and methods of using the improved prime editing for preventing or treating infections by SARS-CoV or SARS-CoV-2.

Abstract: Disclosed are a preprocessing method and device for distance transformation. The method includes: acquiring a first grid map; calculating a second parameter of a vehicle model; calculating a precision of a second grid map according to the second parameter of the vehicle model and a precision of the first grid map; calculating the numbers of rows and columns of the second grid map according to information on the first grid map, the precision of the second grid map and the second parameter of the vehicle model; determining for each cell of the second grid map a state value according to the numbers of obstacle cells within said each cell; and determining in the first grid map at least one cell requiring no processing, according to the state value. Therefore, during the distance transformation, the processing speed for determining the distance value of each cell is increased.

Abstract: An anomaly detector for detecting anomaly in input data comprises an auto-encoder trained to encode the input data and decode the encoded input data to reconstruct the input data. Further, the anomaly detector comprises a classifier trained to determine a reconstruction loss indicative of a difference between the accepted input data and the reconstructed input data, where the reconstruction loss includes a weighted combination of a plurality of loss functions evaluating reconstruction losses of a plurality of parts of the reconstructed input data, different types of loss functions, or both. The classifier is further configured to detect an anomaly in the reconstructed input data when the reconstruction loss is above a threshold.

Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Abstract: System and method for testing power conversion devices are provided. A power supply grid is connected to an AC terminal of a first power conversion device, the power supply grid is also connected to an AC terminal of the second power conversion device, and a DC terminal of the first power conversion device is connected to a DC terminal of the second power conversion device. In this way, a test loop is formed by the power supply grid, the first power conversion device and the second power conversion device. In this test loop, the first power conversion device and the second power conversion device act as a load and a power source, so no additional DC power supply and load are required during the test.

Abstract: The present disclosure provides a display substrate, including: a display area and a bonding area positioned on a side of the display area, the bonding area includes a plurality of bonding sub-areas arranged at intervals, the bonding sub-areas are arranged along a direction in which an edge of the display area extends and configured for bonding a chip-on-film, where a first antistatic layer is further arranged on the bonding area, at least a part of the first antistatic layer is positioned between adjacent ones of the bonding sub-areas, and the first antistatic layer is electrically coupled to a reference signal terminal. The present disclosure further provides a display device.

Abstract: Implementations of the present specification provide a training method for a graph neural network, and relate to performing multiple rounds of iterative updating on a graph neural network based on a user relational graph, where any round of the multiple rounds includes: processing the user relational graph by using a current graph neural network, to obtain multiple classification prediction vectors corresponding to multiple user nodes in the user relational graph; allocating a corresponding pseudo classification label to a first quantity of unlabeled nodes in the multiple user nodes based on the multiple classification prediction vectors; determining, for each of the first quantity of unlabeled nodes, an information gain generated by training the current graph neural network by using the unlabeled node; and updating a model parameter in the current graph neural network according to a classification prediction vector and a real classification label that are corresponding to each labeled node in the multiple us

Abstract: A method of feature substitution for end-to-end image compression, is performed by at least one processor and includes encoding an input image, using a first neural network, to generate an encoded representation, and quantizing the generated encoded representation, using a second neural network, to generate a compressed representation. The first neural network and the second neural network are trained by determining a rate loss, based on a bitrate of the generated compressed representation, and updating the generated encoded representation, based on the determined rate loss.

Abstract: A file processing method, a terminal, and a storage medium are provided, relating to the technical field of human-computer interaction. The method includes the following. A first user interface is displayed in the first display region and a second user interface is displayed in the second display region, when the foldable display screen is in an unfolded state, where the first display region and the second display region are on a same plane in the unfolded state. A drag operation on a target file in the first user interface is received. The target file is displayed in the second user interface according to the drag operation. The target file is processed through an application corresponding to the second user interface.