Abstract: Provided is an efficient and energy-saving building slurry stirring device. The device includes a grouting assembly, which includes a base, a storage tank, a discharge pipe, a grouting pump and a control box. The storage tank is arranged at the top of the base, the discharge pipe is located at one side of the storage tank, the grouting pump is arranged on the discharge pipe, and the control box is fixed to the top of the base. When the fluidity of a grouting material in the storage tank is reduced due to solidification, the stirring assembly can stir the grouting material in the storage tank. Then, the stirring assembly stops stirring the grouting material to save energy. After the grouting is completed, an inner wall of the storage tank can be cleaned by the stirring assembly.

Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.

Abstract: The present disclosure provides for multi-specific antibodies and antigen-binding fragments thereof that bind to human MUC1 and CD16A, pharmaceutical compositions comprising said antibodies, and use of the antibodies or the compositions for treating a disease, such as cancer.

Abstract: The present invention provides a high-stability deep-sea buoy platform including a mast tube housing an attitude sensor used to monitor the tilt angle of the deep-sea buoy platform; a plurality of buoyancy tubes symmetrically and equally spaced around the mast tube; the buoyancy tube includes an elastic float and a water tank; the cross-section of the elastic float is ring-shaped; the elastic float being fitted around the outer side of the upper part of the water tank; the water tank is cylindrical and the interior of the water tank is divided into an upper layer and a lower layer, and the lower layer containing ballast water; each water tank is connected to the other water tanks via pipelines, each of the pipelines equipped with a flow valve; and a damping plate is horizontally connected between the bottoms of adjacent water tanks.

Abstract: Compositions and methods are provided herein for treating intestinal glycocalyx dysfunction. The composition can comprise a chito-oligosaccharide (COS), and optionally a human milk oligosaccharide (hMO) in an amount sufficient to maintain an intestinal glycocalyx and a pharmaceutically acceptable carrier. The composition can be formulated as an oral dosage form or a parenteral dosage form. The method can comprise identifying intestinal glycocalyx dysfunction in the subject. The method can further comprise administering to the subject a COS in an amount and at a frequency sufficient to prevent, stabilize and reverse damage in the intestinal glycocalyx.

Abstract: Examples of array geometry agnostic multi-channel personalized speech enhancement (PSE) extract speaker embeddings, which represent acoustic characteristics of one or more target speakers, from target speaker enrollment data. Spatial features (e.g., inter-channel phase difference) are extracted from input audio captured by a microphone array. The input audio includes a mixture of speech data of the target speaker(s) and one or more interfering speaker(s). The input audio, the extracted speaker embeddings, and the extracted spatial features are provided to a trained geometry-agnostic PSE model. Output data is produced, which comprises estimated clean speech data of the target speaker(s) that has a reduction (or elimination) of speech data of the interfering speaker(s), without the trained PSE model requiring geometry information for the microphone array.

Abstract: The present disclosure provides a shift register unit, a gate driving circuit and a display device. The shift register unit provided by the present disclosure includes: an input sub-circuit, an output sub-circuit, at least one pull-down control sub-circuit, at least one pull-down sub-circuit, at least one first noise reduction sub-circuit, and a reverse bias sub-circuit; the reverse bias sub-circuit is configured to control transistors in at least part of sub-circuits connected to a pull-up node to be in a reverse bias state through a power voltage signal in response to a potential of the pull-up node, or control the transistors in at least part of the sub-circuits connected to the pull-up node to be in the reverse bias state through a cascade signal in response to a potential of a cascade signal terminal.

Abstract: Provided is a display substrate which includes a base substrate; a plurality of rectangular pixels; at least one irregularly-shaved pixel, disposed in the irregularly-shaved display region, wherein the at least one irregularly-shaped pixel is proximal to the peripheral region relative to the rectangular pixel, and a shape of a boundary line of a side, proximal to the peripheral region, of the each irregularly-shaved pixel matches with a shape of a boundary line of the irregularly-shaved display region; and a black matrix laver.

Abstract: The disclosure relates to a method, an apparatus for traffic congestion control, a computer-readable medium, and an electronic device. The method includes: allocating a network card bandwidth to a virtual machine on a same physical machine, where the network interface of the virtual machine is used for transmitting traffic of first and second transmission protocols; for any virtual machine on the physical machine, dividing a total bandwidth of the virtual machine into a first bandwidth, a second bandwidth, and a buffer bandwidth, where the first bandwidth is used to transmit traffic of the first transmission protocol, and the second bandwidth is used to transmit traffic of the second transmission protocol; and reallocating a bandwidth of the first and second transmission protocols based on the actual bandwidth used by the first and second transmission protocols.

Abstract: A label-free cell classification and screening system based on hybrid transfer learning, including a data preprocessing module for acquiring 2D light scattering video data and for digital cell filtering, is made public here; the data preprocessing module includes the label-free high-content video flow cytometry, which has the optical excitation module, the sheath flow control module, and the data acquisition and processing module; the image archiving module is used to sort and set labels for cells; in the feature extraction module, the first convolutional neural network is used to obtain image data feature vectors; in the cell classification and screening module, a support vector machine model is used to obtain the cell screening results.

Abstract: The present disclosure provides an underwater detection method for contact leakage of a tunnel joint of a dam culvert, including: obtaining an underwater image sequence of the culvert by an underwater robot; preprocessing and registering the underwater image sequence; extracting particle information appearing in the underwater image sequence based on the registered underwater image sequence; constructing a three-dimensional fluid velocity distribution map based on the particle information, and determining leakage situation according to the three-dimensional fluid velocity distribution map; and superimposing the three-dimensional fluid velocity distribution map on a preconfigured three-dimensional culvert model, and rendering and displaying it.

Abstract: The disclosure relates to decimal-bit network quantization of CNN models.

Abstract: Resources on a host may be typically organized in a tree structure. In existing service layer technologies, the originators generating data may typically store their resources in default locations in such a tree, resulting in a relatively flat tree structure. As such, it may be beneficial for the service layer to provide assistance to the originators so that the originators can better structure their resources. Additionally, applications consuming the data may prefer data resources to be structured in a certain way, and may only be interested in a small subset of the hosted resources. Therefore, it may be beneficial for such applications to transmit to the service layer the resources that are of interest, and how to structure such resources. Embodiments described herein provide methods and systems to enable solutions to the problems discussed above, among others. Several aspects are introduced to enable such embodiments.

Abstract: The present disclosure discloses a nanoparticle having a ligand with a changeable polarity, a nanoparticle layer patterning method and related application. When the nanoparticle disclosed by the present disclosure is adopted to form a patterned nanoparticle layer on a substrate, a photosensitive material is added in the nanoparticle, then a protective group in a first ligand is dissociated to form an amino under the irradiation of light with a preset wavelength, a second ligand including an amino is formed on a surface of a nanometer particle, and a polarity of the second ligand is different from a polarity of the first ligand; and the amino of the second ligand is cross-linked with an adjacent nanoparticle.

Abstract: A security detection method and apparatus, and a vehicle are provided. The method includes: obtaining a first data packet; inputting the first data packet into a first security detection apparatus for security detection, to obtain a first security detection result; obtaining a second data packet and inputting the second data packet into a second security detection apparatus for security detection if the first security detection result indicates that the first data packet poses a security threat, to obtain a second security detection result; and forwarding the second data packet or executing a first security instruction based on the second security detection result. The technical solution can be applied to a new energy vehicle or an intelligent vehicle, to implement multi-level detection on a security threat in a data packet, so as to help improve security performance of a vehicle.

Abstract: A DC-to-DC converter control method and system based on backstepping super-twisting, a device, and a storage medium are disclosed, the method including: constructing a state-space model of a DC-to-DC converter according to Kirchhoff's laws and a topological structure of the DC-to-DC converter; acquiring initial PWM wave control information by using a backstepping control algorithm in an inner current loop of the DC-to-DC converter according to the state-space model; processing the initial PWM wave control information by using a super-twisting sliding mode control algorithm in an outer voltage loop of the DC-to-DC converter based on the state-space model to obtain final PWM wave control information; and regulating an operation state of the DC-to-DC converter with the final PWM wave control information.

Abstract: The invention relates to a composition comprising (A) a heterophasic propylene copolymer, (B) a propylene homopolymer and (C) a polyolefin-based elastomer, wherein (A) the heterophasic propylene copolymer consists of (al) a propylene-based matrix, wherein the propylene-based matrix consists of a propylene homopolymer and/or a propylene copolymer consisting of at least 90 wt % of propylene monomer units and at most 10 wt % of ethylene and/or ?-olefin monomer units, based on the total weight of the propylene-based matrix and (a2) a dispersed ethylene-?-olefin copolymer, wherein the sum of the total amount of propylene-based matrix and total amount of the dispersed ethylene-?-olefin copolymer in the heterophasic propylene copolymer is 100 wt %, (C) the polyolefin-based elastomer has a melt flow index of 15 to 50 dg/min measured according to ASTM D1238 with a 2.16 kg load at 190° C., the total amount of (a2) and (C) with respect to the total composition is 20.0 to 26.

Abstract: The present disclosure provides a construction method of a risk prediction model for a prognosis of gastric cancer, and belongs to the technical field of biomedicine. In the present disclosure, from the perspective of bioinformatics analysis, it is predicted that gastric cancer exosomes carry circRNAs. Markers regulating the occurrence and development of gastric cancer are selected by combining the circRNAs with an RNA binding protein (RBP). A predictive marker for the prognosis of gastric cancer is an RPB gene, including one or more of AUH, HNRNPC, HNRNPD, U2AF2, and FXR1. The risk prediction model constructed based on the predictive marker can quickly and accurately predict the prognosis of patients with gastric cancer.

Abstract: The present disclosure discloses an optical lens and a camera module, from an object side to an imaging plane along an optical axis, sequentially including: a first group, a second group, and protective glass. The first group has a positive focal power and sequentially includes, from the object side to the imaging plane along the optical axis, a first substrate and a first lens bonded together. The object side surface or image side surface of the first substrate is coated with a stop. The second group has a negative focal power and sequentially includes, from the object side to the image side along the optical axis, a second lens, a second substrate, and a third lens bonded together. The working object distance of the optical lens is from 5 mm to infinity.

Abstract: Embodiments are provided for managing the operation of sensors in an electronic device. According to certain aspects, the electronic device may detect a change in motion from a set of lower-sensitivity sensor data generated by a sensor(s) operating in a lower-sensitivity mode. When the change in motion is detected and during a timeout window, the sensor(s) may generate an additional set of lower-sensitivity sensor data and a set of higher-sensitivity sensor data. The electronic device may initially confirm the change in motion based on analyzing the set of higher-sensitivity sensor data. Further, the electronic device may determine that the additional set of lower-sensitivity does not indicate an additional change in motion, and may deem the confirmation of the change in motion as a false positive.