Abstract: Methods, systems, and computer programs are presented for selecting notifications based on an affinity score between a content generator and a viewer of the content. One method includes capturing interactions of content generators with notifications, received by the content generators, associated with viewer responses to creator-generated content items. The method further includes training a machine-learning model based on the interactions, and detecting a first set of notifications, for a first content generator, associated with interactions of a set of viewers to first-content generator content. The ML model calculates an affinity score between the first content generator and each viewer, and the set of first notifications are ranked based on the affinity scores of the first content generator and the viewer associated with each notification.

Abstract: An object processing method includes: displaying a first operation interface in response to triggering a first operation control of a first stage of a target object, the first operation interface including at least one first operation item; displaying a content input interface in response to completing an operation for the at least one first operation item, the content input interface including at least one input item; in response to completion of content input for the at least one input item, determining a second target value and generating a second operation control corresponding to a second stage of the target object; displaying a second operation interface in response to triggering the second operation control, the second operation interface including at least one second operation item; and updating the state of the target object to a completed state in response to completing an operation for the second operation item.

Abstract: A slurrying device includes a slurrying tank and a rotor stirrer. The rotor stirrer includes a stirring drum, a transmission gear arranged at an end face of the stirring drum configured to face the slurrying tank, and a rotor stirring rod configured to extend from the stirring drum and into the slurrying tank to stir a slurrying liquid in the slurrying tank. The rotor stirring rod is meshed with the transmission gear and configured to revolve along a planar trajectory of the transmission gear while simultaneously rotating. The rotor stirrer further includes a driving device provided at the stirring drum and configured to drive the rotor stirring rod to rotate via the transmission gear.

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: An apparatus includes a laminate, the laminate including a dielectric layer having a first surface and a second surface opposed to the first surface, and a conductive layer forming a circuit element overlying the first surface of the dielectric layer. The apparatus further includes a magnetic layer over the conductive layer. A first edge surface of the magnetic layer is coplanar with a first edge surface of the laminate, and a second edge surface of the magnetic layer is coplanar with a second edge surface of the laminate.

Abstract: The present application relates to a novel benzoazepine compound, comprising a pharmaceutically acceptable salt thereof. The present application also provides a pharmaceutical composition comprising the compound and a pharmaceutically acceptable salt thereof. The present application relates to use of the compound and the composition in the prevention or treatment of diseases related to arginine vasopressin V1a receptor, arginine vasopressin V1b receptor, arginine vasopressin V2 receptor, sympathetic nervous system or renin-angiotensin-aldosterone system. The present application also provides a method for preventing and/or treating arginine vasopressin-related diseases.

Abstract: A test device includes a power compensation module and a test module. The power compensation module receives AC power generated by a device under test to generate DC power to the device under test. The test module provides a plurality of test signals and a test mode to the device under test for testing the device under test.

Abstract: The invention provides a suspension modifier directly added into fracturing fluid for real-time proppant modification during fracturing and the application thereof, relating to the field of oil and gas production technologies. The suspension modifier is a controlled release nanoemulsion and comprises surface hydrophobic modifier, surfactant, cosurfactant and water. The suspension modifier is directly added into clear-water or active-water fracturing fluid while the proppant is added into water. After stirring, the suspension modifier is capable of self-assembling and being adsorbed on the proppant surface, so that the proppant surface becomes hydrophobic and aerophilic. The invention no longer requires the proppant to be pretreated, and the bubble-suspended proppant can be obtained directly by adding the suspension modifier to the clear-water or active-water fracturing fluid, and meanwhile adding the proppant to the fracturing fluid.

Abstract: Disclosed are a net load forecasting method and apparatus for a new energy electric power market. The method includes: obtaining and performing data preprocessing on new energy output data and external environmental data, and extracting strongly correlated features from the new energy output data and the external environmental data after the data preprocessing; performing feature expansion on the strongly correlated features, and inputting the strongly correlated features after the feature expansion into a preconstructed regression forecasting model, to obtain a first forecast value; obtaining and performing data preprocessing on user load data and load influencing factor data, and inputting the user load data and the load influencing factor data after the data preprocessing into a FNN-LSTM hybrid model, to obtain a second forecast value; and calculating a difference between the second forecast value and the first forecast value, to obtain a net load forecasting result.

Abstract: Provided is a method for determining a quantity of a calcium line fed into molten steel based on a minimum Gibbs free energy principle, which relates to an calcium treatment process of molten steel refining for iron and steel metallurgy. The method includes: establishing a connection with a database to read composition information and a temperature of the molten steel in an actual production process; calculating contents of inclusions in the molten steel according to the read composition information; calculating a required quantity of calcium of the molten steel to control the inclusions in a target area under a current condition; and calculating a length of the fed calcium line according to parameter information of the calcium treatment process and the required quantity of calcium of the molten steel. With the method, a scientific and reasonable guidance is provided for the calcium treatment process in the actual production process.

Abstract: The present disclosure provides a method for increasing a methionine content in grains by gene knockout. A maize ZmMETS2 gene is knocked out by a CRISPR/Cas9 technology, and it is found that the methionine content in maize grains is increased to a certain extent after the gene is knocked out. In the present disclosure, the CRISPR/Cas9 target site of the maize ZmMETS2 gene is designed and a function of the gene is found to significantly affect the methionine content. This provides a reference for CRISPR researches of the gene in maize and other crops, and provides a theoretical basis for methionine metabolism of the maize and other crops. Accordingly, the deficiency of human amino acid nutrition is alleviated by increasing the methionine content of transgenic plants.

Abstract: An object detection method includes steps that are to be performed for each piece of point cloud data received from a lidar module, of selecting a first to-be-combined image from among images received from a camera device that corresponds in time to the piece of point cloud data, selecting a second to-be-combined image from among the images that is the Nth image before the first to-be-combined image in the time order, combining the first to-be-combined image and the second to-be-combined image to generate a combined image, generating a result image by incorporating the piece of point cloud data into the combined image, and inputting the result image into a trained machine learning model in order to determine a class to which each object in the result image belongs.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: The present invention provides a dumpling automation machine for preparing dumpling-like food product, comprising a pressing and cutting device for dough pad, a filling injection device and a forming assembly, wherein the forming assembly comprises: a mold assembly for supporting a dough pad injected with a filling and maintaining the dough pad in an upright position; a pre-forming assembly for pre-pressing the upright dough pad to form a pre-pressed crest; and a forming assembly for pressing the pre-pressed crest to from a crest; wherein the mold assembly is configured to successively support the dough pad in different positions along a conveyor, and wherein in a pre-forming position, pre-bending portions on the two ends of the crest are formed by the pre-forming assembly, and in a forming position, the pre-bending portions are bent to form bending portion by a bending assembly.

Abstract: A map-information obstacle-tracking system and a method thereof are provided. The system is installed in a vehicle. The method includes: using a vehicular dynamic positioning module to acquire a position of a vehicle, and using a map-information module to acquire map-information routes of an area neighboring the position of the vehicle; comparing position of the vehicle with the map-information routes to find out candidate routes in the moving direction of the vehicle; determining one of the candidate routes where said obstacle appears, and predicting a moving trajectory of the obstacle; estimating and outputting a position of the obstacle. The present invention is characterized in using map-information and able to acquire the curvature and slope of the front curved lane. Therefore, the present invention can improve the precision of the obstacle position and stabilizes the accuracy of detecting an obstacle in a curved lane.

Abstract: A map-information obstacle-tracking system and a method thereof are provided. The system is installed in a vehicle. The method includes: using a vehicular dynamic positioning module to acquire a position of a vehicle, and using a map-information module to acquire map-information routes of an area neighboring the position of the vehicle; comparing position of the vehicle with the map-information routes to find out candidate routes in the moving direction of the vehicle; determining one of the candidate routes where said obstacle appears, and predicting a moving trajectory of the obstacle; estimating and outputting a position of the obstacle. The present invention is characterized in using map-information and able to acquire the curvature and slope of the front curved lane. Therefore, the present invention can improve the precision of the obstacle position and stabilizes the accuracy of detecting an obstacle in a curved lane.

Abstract: An active safety assistance system for pre-adjusting speed and a control method using the same detect whether there is one other vehicle around a host vehicle. The trajectory of the other vehicle neighboring the host vehicle is estimated when the other vehicle exists. After fitting the other-vehicle trajectory to a lane to determine the intention of the other vehicle, the method determines whether the other vehicle is used as a target vehicle that influences the movement of the host vehicle and calculates a control parameter according to the fitted result and the intention of the other vehicle. The method calculates a target speed and a steering-wheel angle of the host vehicle and controls a steering wheel, a throttle pedal and a brake force of the host vehicle according to the trajectory, the control parameter, and the target speed of the host vehicle.

Abstract: The present invention relates to a Salmonella bacteriophage, in particular to a Siphoviridae bacteriophage with a wide host spectrum and a strong lytic activity against Salmonella pullorum. The above-mentioned Salmonella pullorum bacteriophage is named SP4, and is deposited at the China General Microbiological Culture Collection Center, the deposit date is Jul. 27, 2017 and the deposit number is CGMCC No, 14332, The bacteriophage has a strong lysis effect on Salmonella, and the bacteriophage can also reduce the mortality rate of chicks infected with Salmonella pullorum, The preparation can be used alone or as a cocktail, and provides a safe, non-toxic and side-effect-free and residual effect-free bacteriophage product for the treatment of the infections caused by Salmonella of chicken origin, Salmonella of duck origin, Salmonella of mink origin, Salmonella of food origin and Salmonella of pig origin.

Abstract: The lidar detection device uses four two-dimensional lidars to scan an obstacle, to obtain original point-cloud data corresponding to the obstacle, and the original point-cloud data includes a relative distance, a relative angle and a relative speed of the obstacle relative to the vehicle, Next, the point-cloud data is classified into at least one point-cloud group corresponding to the obstacle, and a border length of the obstacle is obtained according to a contour of the point-cloud group. Kalman filter and extrapolation are used to estimate and track a movement path of a dynamic obstacle, and transmit the relative speed and the border length of the dynamic obstacle to an automatic driving controlling device. According to the relative distance, a coordinate of the dynamic obstacle nearest the vehicle can be obtained and transmitted to the automatic driving controlling device efficiently.