Abstract: The present disclosure provides methods and apparatus for optimizing a keyword spotting system. A set of utterance texts including a given keyword may be generated. A set of speech signals corresponding to the set of utterance texts may be synthesized. An acoustic model in the keyword spotting system may be optimized with at least a part of speech signals in the set of speech signals and utterance texts in the set of utterance texts corresponding to the at least a part of speech signals.

Abstract: The present disclosure includes: transforming a time-domain voltage signal collected by an MPI system device to a frequency domain; calculating a square root of a square sum of a real part and an imaginary part at each frequency point of a frequency domain signal; arranging acquired amplitudes in a descending order, and acquiring a screening threshold by an amplitude ratio method; screening an amplitude through the screening threshold and constructing frequency domain signal data; acquiring a row vector of a system matrix corresponding to each frequency point of the data, so as to construct an update system matrix; and solving, based on the frequency domain signal array and the update system matrix, an inverse problem in a form of a least square based on an L2 constraint to obtain a three-dimensional magnetic particle concentration distribution result, so as to achieve a fast reconstruction of the MPI system.

Abstract: A system includes a circuit configured to detect a voltage corresponding to an electrical measurement of a nanopore. The system also includes a component configured to compare the voltage to another voltage. Based at least in part on the comparison, a one bit indicator is determined. The one bit indicator indicates whether the voltage indicates a change in a state of the nanopore. In the event it is determined that the voltage indicates the change in the state of the nanopore, a multiple bit signal is provided for output.

Abstract: A system for reconstructing a magnetic particle image based on a pre-trained model aims to address the influence by point spread function and reduce the computational and time costs, which results in low reconstruction accuracy, or high acquisition time and computational costs for high-precision images. The system is implemented by: generating a simulation system matrix; pre-training a pre-constructed neural network model, and fine-tuning a pre-trained neural network model by performing a downstream task; and inputting real data corresponding to the downstream task into the pre-trained neural network model after fine-tuning, thereby playing an auxiliary role to acquire a high-quality reconstructed MPI image. The system fits the relationship between different harmonics, which helps enhance frequency-domain information.

Abstract: A method and system for robotic multi-peg-in-hole assembly based on hierarchical reinforcement and distributed learning, including: establishing a master-control assembly-strategy model based on deep reinforcement learning by using data of states and actions of a robot; constructing a plurality of sub-process networks based on different assembly interaction environments, updating and training the master-control assembly-strategy model by using interaction data of the robot obtained by the constructed plurality of sub-process networks, and obtaining a trained master-control assembly-strategy model; and controlling and instructing the robot to execute an assembly task of a robotic multi-peg-in-hole assembly by using the trained master-control assembly-strategy model.

Abstract: A stacked-screen display device and a method for controlling a display device are provided. The stacked-screen display device includes a backlight module, a light control panel and a display panel which are stacked in sequence, where the backlight module includes a backplane, a reflector and a diffuser which are stacked in sequence, and the reflector is provided with a plurality of light-emitting units, the backlight module is provided with temperature sensors, the temperature sensors are configured to detect the temperature of the backlight module to compensate the display panel according to the temperature.

Abstract: Disclosed are a hydroxyl-terminated polybutadiene-based polyurethane (HTPB-PU)-modified asphalt and a preparation method thereof. In the disclosure, the HTPB-PU-modified asphalt includes the following components in parts by weight: 90 parts to 97 parts of a base asphalt and 3 parts to 10 parts of HTPB-PU, where the HTPB-PU is prepared from raw materials including an isocyanate and a polyol, and the polyol includes hydroxyl-terminated polybutadiene (HTPB) with a weight percentage of not less than 80%.

Abstract: Provided are use of a rare earth amino acid complex, a polylactic acid composition and a preparation method thereof. The rare earth amino acid complex is formed by complexing a rare earth metal ion with an amino acid; a rare earth element corresponding to the rare earth metal ion is one or more selected from the group consisting of lanthanum, cerium and samarium; and the amino acid is at least one selected from the group consisting of proline, L-phenylalanine, tyrosine and tryptophan.

Abstract: The disclosure belongs to a field of hydraulic equipment, and in particular to an anti-rolling damping device for floating wind turbines. The specific technical scheme: low ends of buoys are connected with an upper surface of a support plate through a damping assembly, and the damping assembly includes a piston cylinder fixedly arranged on the support plate, a piston plate is slidably arranged in the piston cylinder, a piston rod is arranged at one end of the piston plate far from the support plate, the piston rod extends out of the piston cylinder and is fixedly connected with the buoys, and a plurality of first through holes are arranged on a side wall of the piston cylinder near the lower part. The buoys sink with waves, and the piston plate slides downwards in the piston cylinder.

Abstract: A system for reconstructing a magnetic particle image based on adaptive optimization of regularization terms includes: a MPI device for scanning an imaging object to acquire a voltage response signal; a signal processor for constructing a system matrix; and a control processor for reconstructing the magnetic particle image based on an arbitrarily selected regularization term, inputting the reconstructed magnetic particle image to a regularization-term adaptive optimization neural network model for enhancement processing, taking the enhanced magnetic particle image as a first image, and calculating a loss value between the first image and an initial image to acquire a final reconstructed magnetic particle image. The system adopts a neural network model-based automatic learning approach, instead of the approach of manually selecting regularization terms and adjusting parameters, to improve the reconstruction efficiency and quality of the magnetic particle image.

Abstract: Disclosed is a method for optimization design of an artificial reef structure. The method includes: arranging an artificial reef model to be tested on a test platform, testing a flow field to obtain flow field data and a pull force of an artificial reef, analyzing the flow field data to obtain a flow velocity reference point, and carrying out optimization analysis in combination with the flow field data and the pull force.

Abstract: The present disclosure provides systems and methods for analyzing or identifying a target nucleic acid molecule. For example, a system of the present disclosure may comprise (a) a complex comprising a target nucleic acid molecule and a primer nucleic acid molecule, wherein the primer nucleic acid molecule comprises (i) a region that is complementary to a portion of the target nucleic acid molecule and (ii) an additional region that is non-complementary the target nucleic acid molecule, and (b) with said additional region having flown through a pore of a sensor, using said sensor to identify said additional region, thereby analyzing said target nucleic acid molecule. The sensor may be configured to detect one or more signals indicative of an impedance or impedance change in the sensor when the at least the portion of the target molecule is bound by the binding unit. The one or more signals may be usable to analyze or identify the target molecule.

Abstract: The present disclosure provides methods for processing a nucleic acid sample. For example, a method of the present disclosure may simultaneously process two populations of nucleic acid (NA) templates for two different sequencing modalities: (i) a first population comprising circularized NA templates having a size smaller than a size threshold (e.g., smaller than 2 kilobase (kb)), and (ii) a second population comprising uncircularized NA templates having a size greater than or equal to the size threshold.

Abstract: Disclosed herein are methods and nanoparticles suitable for use in reducing exacerbations in COPD patients. The methods and compositions advantageously reduce the incidence of hospitalization in COPD patients that occurs in response to environmental insults such as exposure to or infection by RSV. Dosages, formulations, and methods for preparing the vaccines and nanoparticles are also disclosed.

Abstract: A display substrate, a manufacturing method therefor, and a display apparatus are provided. The display substrate includes a first semiconductor layer, a first conductive layer, a second conductive layer, a second semiconductor layer, a third conductive layer, a fourth conductive layer, and a fifth conductive layer disposed on an substrate. The first semiconductor layer includes active layers of a plurality of poly silicon transistors, the first conductive layer includes gates of a plurality of poly silicon transistors, a first electrode plate of a storage capacitor and a first scan signal line. The second conductive layer includes a second electrode plate of the storage capacitor. The second semiconductor layer includes active layers of a plurality of oxide transistors. The third conductive layer includes gates of the plurality of oxide transistors.

Abstract: A display substrate has a display region including a functional region and a main display region; the functional region has at least one functional unit, each of which has a blank region, a winding region and a circuit region; the display substrate includes a base substrate, and plural conductive layers on the base substrate; the plural conductive layers form at least one hollow pattern, each of which is in the blank region; the conductive layers include a first signal line, which includes first, second and third line segments in the main display region, the circuit region and the winding region, respectively; extending directions of the first and second line segments are the same, the third line segment electrically connects the first and second line segments together, and the third line segment includes at least two line sub-segments with different extending directions.

Abstract: A wireless federated learning (FL) framework and a resource optimization method are provided to resolve a problem that FL is not suitable for many hardware-constrained Internet of Things (IoT) devices with a small amount of computing resources. In the framework, users with sufficient computing resources upload locally trained model parameters to a base station, and users with limited computing resources only need to send training data to the base station. The base station performs data training and model aggregation to obtain a global model. In this way, the users with limited computing resources and the users with sufficient computing resources cooperatively train the global model. To improve a data transmission rate and reduce an aggregation error of FL, a non-convex optimization problem is constructed to jointly design user transmit power and a reception strategy of the base station, and solves the problem through a successive convex approximation (SCA) method.

Abstract: This application provides a signal processing method and a related apparatus. The method is applied to a network device and includes: receiving sounding signal information from user equipment, where the sounding signal information includes N pieces of sub-sounding signal information received by N antennas of the network device; performing first weighting processing on the sounding signal information based on a first matrix to determine first signal information; determining a channel weight of to-be-sent signal information based on the first signal information, and weighting the to-be-sent signal information based on the channel weight, to determine N pieces of second signal information; performing second weighting processing on the N pieces of second signal information based on a second matrix to obtain N pieces of third signal information, where the second matrix is an inverse matrix of the first matrix; and sending the corresponding third signal information using the N antennas.

Abstract: The disclosure belongs to a field of hydraulic equipment, and in particular to an anti-rolling damping device for floating wind turbines. The specific technical scheme: low ends of buoys are connected with an upper surface of a support plate through a damping assembly, and the damping assembly includes a piston cylinder fixedly arranged on the support plate, a piston plate is slidably arranged in the piston cylinder, a piston rod is arranged at one end of the piston plate far from the support plate, the piston rod extends out of the piston cylinder and is fixedly connected with the buoys, and a plurality of first through holes are arranged on a side wall of the piston cylinder near the lower part. The buoys sink with waves, and the piston plate slides downwards in the piston cylinder.

Abstract: A multi-functional reconfigurable intelligence surface (MF-RIS) integrating signal reflection, refraction and amplification and energy harvesting and an application thereof are provided. The MF-RIS can support wireless signal reflection, refraction and amplification and energy harvesting on one surface, to amplify, reflect, or refract a signal through harvested energy, and further enhance effective coverage of wireless signals. When a signal model of the MF-RIS constructed in the present disclosure is applied to a multi-user wireless network, a non-convex optimization problem of jointly designing operation modes and parameters that include BS transmit beamforming, and different components and a deployment position of the MF-RIS is constructed with an objective of maximizing a sum rate (SR) of a plurality of users in an MF-RIS-assisted non-orthogonal multiple access network.