Abstract: A design method for high-performance ladle furnace (LF) desulfurization refining slag is provided, including: step S1: extracting a refining slag composition of LF desulfurization refining slag, and calculating a complete melting temperature and a viscosity of the refining slag composition; step S2: based on the refining slag composition and corresponding complete melting temperature and viscosity, calculating a desulfurization capacity of each refining slag composition, and determining a desulfurization range of the refining slag composition based on desulfurization capacity results; and step S3: selecting a high-performance LF desulfurization refining slag composition based on a desulfurization capacity range of the refining slag composition, analyzing a sulfur content in steel, and completing a design of the high-performance LF desulfurization refining slag.

Abstract: The embodiments of the present disclosure provide a method for processing entrained slag inclusions in steel with deoxidized calcium with fixed aluminum. The method proposes a kinetic model and further proposes a criterion for determining which composition of inclusions are the entrained slag inclusions based on the process of compositional transformation of the entrained slag inclusions. The method can clarify whether the inclusions in the steel are entrained slag or not, identify the source of the inclusions, and further provide a clear direction for the control of such inclusions in industrial production. Corresponding industrial measures can then be implemented to adjust steelmaking processes, control the occurrence of entrained slag inclusions, reduce the count of entrained slag inclusions in steel, and enhance process efficiency and steel product quality.

Abstract: A method and a system for obtaining fluid flow directions of a tundish water model are provided, and the method includes the following steps: building the tundish water model with a preset similarity ratio with a tundish prototype; carrying out an ink diffusion experiment in the tundish water model, and shooting a video of an ink diffusion process; carrying out a binarization processing on the video of the ink diffusion process frame by frame to obtain binarized images; obtaining a time grayscale map based on grayscale values of the binarized images; obtaining a velocity vector map of the tundish water model based on grayscale gradients of the time grayscale map; and obtaining a moving direction of the ink based on the velocity vector map, and obtaining a flowing direction of fluid in the tundish water model based on the moving direction.

Abstract: A method analyzes global average grayscale change of tundish ink tracing experiment. The method includes the following steps: building a water model based on a prototype size and production parameters of a tundish; carrying out experiments by using the water model to obtain a video file of the ink tracing; processing the video file and extracting a characteristic curve of a global average grayscale changing with the time; analyzing the characteristic curve, and extracting a global peak grayscale time, a global tracer residual volume and a global emptying time as indicators for evaluating a tundish structure and flow characteristics of the tundish structure.

Abstract: A method analyzes global average grayscale change of tundish ink tracing experiment. The method includes the following steps: building a water model based on a prototype size and production parameters of a tundish; carrying out experiments by using the water model to obtain a video file of the ink tracing; processing the video file and extracting a characteristic curve of a global average grayscale changing with the time; analyzing the characteristic curve, and extracting a global peak grayscale time, a global tracer residual volume and a global emptying time as indicators for evaluating a tundish structure and flow characteristics of the tundish structure.

Abstract: A method for predicting floating times of inclusions during refinements of molten steel includes: predicting a macroscopic multiphase flow field of the molten steel refining, injecting the inclusions into the multiphase flow field uniformly and randomly, determining a capture condition of the inclusions, calculating motion trajectories of the inclusions injected into the multiphase flow field, outputting captured inclusions' information through comparing the motion trajectory of the inclusion and the capture condition, and obtaining an average floating time, a relationship between a removal rate and the floating time, and the complete floating time through analyzing the captured inclusions' information.

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: 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: 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: 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: Systems and methods for reducing noise or vibration generated by an internal combustion engine are described. An engine controller is arranged to operate the working chambers of the engine in a cylinder output level modulation manner A noise/vibration reduction unit actively control of a device that is not a part of the powertrain. The device is controlled in a feed forward manner to alter an NVH characteristic of the vehicle in a desired manner based at least in part on a characteristic of the cylinder output level modulation operation of the engine.

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: The present invention relates generally to improving the fuel efficiency of autonomous vehicles by operating either (1) at a first effective engine displacement that takes into account noise, vibration and harshness (NVH) when the vehicle is occupied or (2) at a second effective engine displacement, without concern for occupant NVH, when the vehicle is not occupied. The second effective engine displacement is typically more fuel efficient than the first effective engine displacement, but result in a higher level of NVH compared to the first effective engine displacement.

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: Systems and methods for reducing noise or vibration generated by an internal combustion engine are described. An engine controller is arranged to operate the working chambers of the engine in a cylinder output level modulation manner. A noise/vibration reduction unit actively control of a device that is not a part of the powertrain. The device is controlled in a feed forward manner to alter an NVH characteristic of the vehicle in a desired manner based at least in part on a characteristic of the cylinder output level modulation operation of the engine.

Abstract: A method of controlling hybrid operation of trains having different formation lengths and a communication-based train control (CBTC) system are provided. The method includes: before a train travels into a CBTC area, determining, according to a preset filter area, whether any other vehicle exists in front of the train in a travel direction thereof, if no other vehicle exists in front of the train in the travel direction thereof, determining a formation length of the train according to the filter area, determining, according to the formation length of the train and the filter area, whether any other vehicle exists behind the train in the travel direction thereof, and if no other vehicle exists behind the train in the travel direction thereof, providing the train with a movement authorization.