Abstract: Involved is an isolated antigen binding protein, being capable of binding CCR8 derived from a primate animal. Further involved are a pharmaceutical composition comprising the antigen binding protein, and an application of the antigen binding protein and/or the pharmaceutical composition in the prevention and/or treatment of a tumor or a cancer.

Abstract: Detecting fine-grained similarity in image includes determining a core area of a search image by generating an image salient map from a plurality of layers of the search image and determining a connected area based on the image salient map. Feature descriptors are generated from the core area of the search image. A plurality of capsule vectors are generated from different ones of a plurality of keypoints of the feature descriptors. Capsule vectors of the search image are compared with capsule vectors of each image of the dataset to generate a top-K matrix. Similarity scores for the top-K matrix are calculated. One or more image of the dataset having fine-grained similarity with the search image are selected based a bundled similarity score for each image of the dataset. The bundled similarity score is a summation of the similarity scores of the image.

Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: A catalyst including platinum (Pt) and a composite support. The composite support includes ZrO2/mesoporous silica sieve SBA-15. The platinum accounts for 0.01-0.3 wt. % of the catalyst. ZrO2 accounts for 5-20 wt. % of the composite support.

Abstract: A method includes receiving a first data set comprising embeddings of first and second types, generating a fixed adjacency matrix from the first dataset, and applying a first stochastic binary mask to the fixed adjacency matrix to obtain a first subgraph of the fixed adjacency matrix. The method also includes processing the first subgraph through a first layer of a graph convolutional network (GCN) to obtain a first embedding matrix, and applying a second stochastic binary mask to the fixed adjacency matrix to obtain a second subgraph of the fixed adjacency matrix. The method includes processing the first embedding matrix and the second subgraph through a second layer of the GCN to obtain a second embedding matrix, and then determining a plurality of gradients of a loss function, and modifying the first stochastic binary mask and the second stochastic binary mask using at least one of the plurality of gradients.

Abstract: Electric submersible pump systems, and more particularly, seals for ESPs, are provided. An electric submersible pump includes a plurality of impellers; a plurality of diffusers; at least one sealing ring positioned axially between two consecutive diffusers of the plurality of diffusers; and at least one O-ring positioned axially between the at least one sealing ring and a lower of the two consecutive diffusers.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for online automatic hyperparameter tuning of a machine learning model that provides a user experience to media devices such that the machine learning model maximizes (or minimizes) an objective function. An example embodiment operates by generating an initial set of hyperparameter configurations for a machine learning model based on sampling data received from media devices over a network. The embodiment then determines, using an hyperparameter tuning method, a hyperparameter configuration based on the initial set of hyperparameter configurations that causes a training of the machine learning model using a learning algorithm to maximize an objective function. The embodiment then trains the machine learning model according to the determined hyperparameter configuration using the learning algorithm.

Abstract: A method may include detecting an occurrence of a logistic exception during a fulfilment cycle of an order. An impact of the logistic exception may be determined based on a tracking model having a plurality of interconnected tracking objects. The plurality of interconnected tracking objects may include a first tracking object corresponding to the order, a second tracking object corresponding to an order item included in the order, a third tracking object corresponding to a delivery order item corresponding to the order item, a fourth tracking object corresponding to a first delivery order including the delivery order item, and a fifth tracking object corresponding to a transport event including the delivery order. One or more of the plurality of interconnected tracking objects may be updated based at least on the impact of the logistic exception. Related systems and computer program products are also provided.

Abstract: A projection screen includes an optical collimating layer and a surface diffusion layer which are arranged in sequence. A grating absorption layer for absorbing ambient light from various directions except a projection light direction is also provided between the optical collimating layer and the surface diffusion layer. The grating absorption layer includes a plurality of light-absorption ring-shaped units with different radii. The plurality of light-absorption ring-shaped units are arranged in a concentric ring. Each of the light-absorption ring-shaped units consists of a plurality of gratings arranged in the circumferential direction of the concentric ring. By taking a vertical symmetrical center line of the projection screen as a center, in a direction extending along the circumferential direction of the concentric ring to the left side and the right side of the projection screen, the distance between two adjacent gratings in the same light-absorption ring-shaped unit gradually increases.

Abstract: A method for cleaning an air conditioner includes: in response to a cleaning instruction, controlling frosting on the surface of a target heat exchanger; after a frosting completion condition is met, controlling defrosting of the frost on the target heat exchanger; and after a defrosting completion condition is met, reducing the surface temperature of the target heat exchanger to a sterilization temperature, and carrying out quick cooling sterilization, wherein the temperature difference between the sterilization temperature and the defrosting temperature during defrosting meets a set temperature change sterilization condition. By a frosting-defrosting process, dirt such as dust on the heat exchanger may be effectively stripped and deep bacteria may be exposed, and then the quick cooling sterilization process may kill the bacteria by utilizing the sharp temperature change during switching from the defrosting process to the quick cooling process. Also disclosed is the air conditioner.

Abstract: A sensing circuit and a correction method thereof, a pixel driving module and a sensing method thereof, and a display apparatus, the sensing circuit includes: an operation amplifier (AMP), an integration capacitor (Cfb), a first switch (S1), a second switch (S2), a third switch (S3), a fourth switch (S4), a fifth switch (S5) and a sixth switch (S6).

Abstract: Disclosed in the present invention are an ahead prediction method and branch instruction trace cache for direct jumping. The branch trace cache comprises: a prediction table based on historical branch information, which prediction table is used for implementing two jumping predictions, wherein the prediction table based on the historical branch information comprises the current branch prediction table and an ahead branch trace cache prediction table; a branch trace cache, which comprises a plurality of entries, each entry storing a plurality of consecutive instructions, and the plurality of consecutive instructions including a branch instruction, wherein each entry serves as a branch trace cache item, and comprises: a target instruction of the branch instruction, a sequential address of the target instruction of the branch instruction, a jump address of the target instruction of the branch instruction, and a tag; and a system cache.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to detecting a closed ring in a three-dimensional (3D) point cloud via cycle basis. A system can comprise a memory configured to store computer executable components; and a processor configured to execute the computer executable components stored in the memory, wherein the computer executable components can comprise a filtering component that can filter a first undirected graph of a three-dimensional (3D) point cloud, by eliminating one or more edges of the first undirected graph that are longer than an adaptive threshold, wherein filtering the first undirected graph can produce a second undirected graph; and a detection component that can detect a minimum cycle basis of the second undirected graph to determine a cycle path that can traverse an irregular annular shape that is represented by the 3D point cloud.

Abstract: This specification relates to an apparatus which stores a machine-learned model including a first neural network block including multiple convolutional neural network layers, a second neural network block including at least one dilated convolutional neural network layer, and a linear transformation block. The apparatus is configured to receive input data representing in-phase and quadrature signals of an input signal that is to be amplified by a power amplifier, to process the received input data using the first neural network block of the machine learned model to generate a first neural network block output, to process the received input data using the second neural network block of the machine learned model to generate a second neural network block output, and to combine, using the linear transformation block, the first neural network block output and the second neural network block output to generate a pre-distorted signal for amplification by the power amplifier.

Abstract: An SSD includes an MRAM, an NAND memory, and an SSD controller. The SSD controller is configured to receive first data from a host machine, save the first data to an SSD data buffer, fetch the first data from the SSD data buffer and write the first data to the MRAM via the MRAM controller, determine, by the data allocation circuit based on a characteristic of the first data, whether to save the first data to the MRAM or the NAND memory, and in response to determining saving the first data to the NAND memory, read the first data from the MRAM, write the first data to the NAND memory, and erase the first data from the MRAM.

Abstract: The invention discloses a method of preparing a high chiral purity lactam intermediate D comprising a step of reducing a compound C to lactam intermediate D in a solvent by hydrogenation reduction using a heavy metal catalyst and a chiral inducer. Brivaracetam can be prepared in a single step using the lactam intermediate D. The synthesis route is short, reaction conditions are mild, post-treatment is simple, reaction yield is high, chiral selectivity is good, and production cost is low. The conversion rate of the compound C in the reaction is 81%, and the DE value of the compound D is more than 99.0%, which is suitable for industrial production.

Abstract: This disclosure relates to remote control of dialysis machines. In certain aspects, a method includes receiving a request for a network connection from a dialysis machine and establishing the network connection with the dialysis machine. The method also includes receiving, from a client device, a request to access the dialysis machine, authorizing the client device to access the dialysis machine, receiving, from the dialysis machine, information pertaining to an operation of the dialysis machine, and providing, to the client device, the received information.

Abstract: The present disclosure discloses a method for automatically identifying south troughs by improved Laplace and relates to the technical field of meteorology. The method includes the following steps: acquiring grid data of a geopotential height field; calculating a gradient field of the geopotential height field in an x direction; searching for a turning point where a gradient value turned from being negative to being positive, and cleaning the gradient field; calculating a divergence of the x direction to obtain an improved Laplacian numerical value L?; performing 0,1 binarization processing on the L? to obtain a black-and-white image and a plurality of targets of potential troughs, merging the black-and-white image and the plurality of targets of the potential troughs by expansion, recovering original scale through erosion, and selecting an effective target through an angle of direction of a contour and an axial ratio.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for stochastic candidate selection for content recommendation. An example embodiment operates by a computer-implemented method for stochastic candidate selection for content recommendation. The method includes receiving, by at least one computer processor, a first plurality of content candidates and selecting a second plurality of content candidates from the first plurality of content candidates. The method further include ranking the second plurality of content candidates based on one or more parameters and selecting a third plurality of content candidates from the ranked second plurality of content candidates. The method can further include displaying the third plurality of content candidates using a display device.