Abstract: Disclosed are a novel tumor microenvironment-related target TAK1 and an application thereof in inhibition of a tumor. TAK1, as a research target for SASP regulation, can be used as a marker in tumor diagnosis and prognosis, and can also be used as a tumor microenvironment specific target to develop tumor inhibitory drugs.

Abstract: An apparatus efficiently preparing ultrafine spherical metal powder includes a housing, a crucible and a powder collection area arranged in the housing. The turnplate arranged in the powder collection area is an inlaid structure. The part inlaid into the body part acts as an atomization plane of the turnplate. The atomization plane is provided with a concentric circular groove, and the turnplate is provided with an air hole. The apparatus is used for preparing ultrafine spherical metal powder by on-by-one droplets centrifugal atomization method, mainly combining the uniform droplet jet method and the centrifugal atomization method, which breaks through the traditional metal splitting model, makes the molten metal in a fibrous splitting, so as to efficiently prepare ultrafine spherical metal powder with narrow particle size distribution interval, high sphericity, good flowability, excellent spreadability, uniform and controllable size, no satellite droplets and suitable for industrial production.

Abstract: A method for determining a human subject's risk of developing acute kidney injury (AKI) from acute myocardial infarction (AMI) includes: obtaining a blood sample; determining at least two miRNA expression levels therein, which are selected from miR-23a-3p, miR-24-3p, and miR-145-5p expression levels; calculating probability of developing AKI from AMI based on the at least two miRNA expression levels and a logistic regression model; comparing the probability with a predetermined standard; and determining that the human subject is at the risk of developing AKI when the probability is higher than the predetermined standard. A composition may be administered to the human subject for inhibiting development of AKI, if any.

Abstract: Embodiments of the present invention relate to the communications field, and disclose an information transmission method and device to implement beamforming on an SRS. A specific solution is as follows: A base station configures at least one first resource for a UE, where the first resource is used by the UE to transmit a target channel and/or signal; and the base station transmits first indication information to the UE, where the first indication information is used to indicate a correspondence between the first resource and a beam, or the first indication information is used to indicate a correspondence between the first resource and a second resource. The embodiments of the present invention are used in a beamforming process.

Abstract: Disclosed is a preparation method of a foamed aluminum special-shaped part. The preparation method comprises the following steps: S1, pressing wax molds; S2, making a shell; S3, carrying out smelting; S4, carrying out casting; and S5, vibrating the shell. Finally, the foamed aluminum special-shaped part is obtained for a preparation process of a foamed aluminum compound casting.

Abstract: Among other things, the disclosure of the present invention is related to make pathology and cytology faster, better and lower cost. The present invention also related to rapid intracellular assay.

Abstract: The present disclosure provides a method and apparatus for training a model. The method can include: acquiring at least one paragraph text, each paragraph text comprising a plurality of fine-grained samples; processing a fine-grained sample in the each paragraph text to obtain a coarse-grained sample; annotating the coarse-grained sample in the each paragraph text and obscuring one coarse-grained sample using a mask of one fine-grained sample to obtain a training sample set, wherein the training sample set comprises a plurality of annotated texts, and each annotated text comprises at least one of a fine-grained sample or an annotated coarse-grained sample; and training a fine-grained model using the training sample set to obtain a trained fine-grained model, the fine-grained model being used to learn content of a previous fine grain size and predict content of an adjacent coarse grain size.

Abstract: A pre-training method of a neural network model, an electronic device, and a medium. The pre-training data is inputted to the initial neural network model, and the initial neural network model is pre-trained in the first training mode, in the first training mode, the plurality of hidden layers share one hidden layer parameter, and the loss value of the initial neural network model is obtained, if the loss value of the initial neural network model is less than a preset threshold, the initial neural network model continues to be pre-trained in the second training mode, in the second training mode, each of the plurality of hidden layers has its own hidden layer parameter.

Abstract: System and methods for generating a trajectory of a dynamical system are described herein. An example method includes modelling a policy from demonstration data. The method also includes generating a first set of action particles by sampling from the policy, where each of the action particles in the first set includes a respective system action, predicting a respective outcome of the dynamical system in response to each of the action particles in the first set, and weighting each of the action particles in the first set according to a respective probability of achieving a desired outcome. The method further includes generating a second set of action particles by sampling from the weighted action particles, where each of the action particles in the second set includes a respective system action, and selecting a next system action in the trajectory of the dynamical system from the action particles in the second set.

Abstract: The present invention is an AI motorcycle comprising a motorcycle, an AI device, a first plate image acquisition device, a second plate image acquisition device, a display device, and an alert device. Thereby, there are a smart movable investigation and crime prevention system, a multi-lane plate number and smart street lamp recognition system, a portable face recognition system, a portable drunk driving detection system, a mobile recognition integrated radar speedometer system, a mobile image recognition integrated RFID receiver, and equipped with multiple application functions, including a 360° panoramic camera for road condition recording and image analysis, a cloud database police network system implementation, a roadside parking billing plate recognition function, and a multi-lane plate number recognition functions are accomplished when riding the motorcycle on patrol.

Abstract: Feature descriptor matching is reformulated into a graph-matching problem. Keypoints from a query image and a reference image are initially matched and filtered based on the match. For a given keypoint, a feature graph is constructed based on neighboring keypoints surrounding the given keypoint. The feature graph is compared to a corresponding feature graph of a reference image for the matched keypoint. Relocalization data is obtained based on the comparison.

Abstract: Systems and processes for metric learning distillation are disclosed herein. In accordance with one example, a method includes, at an electronic device, at an electronic device having one or more processors and memory, receiving a first plurality of vectors from a first model, receiving a second plurality of vectors from a second model, determining a first plurality of vector distances based on the first plurality of vectors, generating a first matrix based on the first plurality of vector distances, determining a second plurality of vector distances based on the second plurality of vectors, generating a second matrix based on the second plurality of vector distances, comparing the first matrix with the second matrix, and adjusting the second model based on the comparison of the first matrix and the second matrix.

Abstract: The invention relates to medical equipment, and particularly relates to an integrated X-Ray precision imaging device, which includes a table, a control module, an X-ray emitting device, an X-ray receiving device, and a thickness measuring mechanism. The X-ray emitting device and the X-ray receiving device are arranged on the table, the X-ray emitting device is located above the X-ray receiving device, the thickness measuring mechanism is provided on the X-ray emitting device, the thickness measuring mechanism and the X-ray emitting device. Both are electrically connected to the control module. By setting a measurement mechanism, the invention can accurately measure the body shape of a patient in real time, and control the precise emission amount of X-rays through the body shape data of the patient to ensure that a clear image is obtained, and at the same time, minimize the possibility of the patient being harmed by ionizing radiation.

Abstract: Antigen binding proteins that bind to human IL-23 protein arc provided. Nucleic acids encoding the antigen binding protein, vectors, and cells encoding the same as well as use of IL-23 antigen binding proteins for diagnostic and therapeutic purposes arc also provided.

Abstract: Methods for determining a prediction value, an encoder, and a decoder are provided. Reconstructed values of neighboring samples of a current block are acquired, and then filtered to obtain a reference value set of the current block. When a size of the current block is smaller than a preset threshold value, a first constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the first constant value and a first reference value in the reference value set is determined as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined according to the reference value set. Prediction values of samples at specific positions in the current block is calculated and then filtered.

Abstract: Methods for determining a prediction value, an encoder, and a decoder are provided. Reconstructed values of neighboring samples of a current block are acquired, and then filtered to obtain a reference value set of the current block. When a size of the current block is smaller than a preset threshold value, a first constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the first constant value and a first reference value in the reference value set is determined as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined according to the reference value set. Prediction values of samples at specific positions in the current block is calculated and then filtered.

Abstract: Methods for determining a prediction value, an encoder, and a decoder are provided. Reconstructed values of neighboring samples of a current block are acquired, and then filtered to obtain a reference value set of the current block. When a size of the current block is smaller than a preset threshold value, a first constant value is calculated according to a bit depth value of a luma component of a sample in the current block. A difference between the first constant value and a first reference value in the reference value set is determined as a first prediction input value in a prediction input value set. Other prediction input values in the prediction input value set other than the first prediction input value are determined according to the reference value set. Prediction values of samples at specific positions in the current block is calculated and then filtered.

Abstract: Disclosed are devices, kits, apparatus, and methods for rapid homogenous cell staining and imaging.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for processing information. A specific implementation of the method includes: acquiring a search result set related to a search statement inputted by a user; parsing the search statement to generate a first syntax tree, and parsing a search result in the search result set to generate a second syntax tree set; calculating a similarity between the search statement and the search result in the search result set using a pre-trained semantic matching model on the basis of the first syntax tree and the second syntax tree set, the semantic matching model being used to determine the similarity between the syntax trees; and sorting the search result in the search result set on the basis of the similarity between the search statement and the search result in the search result set, and pushing the sorted search result set to the user.