Abstract: The present invention discloses a heat exchanger and a heat exchange method, which can recover heat from a high-temperature fluid during transport. The heat exchanger includes a closed heat exchange region and a heat-receiving fluid coil mounted therein. The heat exchange method is to pass the high-temperature fluid through a heat exchange base plate in contact therewith so as to transfer heat to the heat-receiving fluid. According to the design of the heat exchanger in the present invention, modification of the original transport pipeline and mounting of a new apparatus are very convenient, the heat exchange area can be increased while saving the cost, and the heat exchange efficiency is improved.

Abstract: A method for predicting an air quality index (AQI) based on a fusion model proposes a differential fusion seasonal prediction model (DF-SPM) based on a random forest (RF) model and a convolutional neural network (CNN)-long short-term memory (LSTM)-attention (CLA) model. This method uses the optimal threshold interval (OTI) search algorithm to search and learn the OTI of four seasons during the prediction process, and obtains the final prediction results according to the predicted values of RF model and CLA model. The fusion model combines the prediction advantages of two independent models, and fully considers the seasonal and periodic characteristics of AQI, so as to accurately search OTI in different time periods with the seasonal scale, so as to achieve higher prediction accuracy. The OTI strategy of fusion model is superior to the single threshold strategy, which can extract the historical fluctuation characteristics of AQI and achieve higher prediction accuracy.

Abstract: A decision model training method and apparatus are provided. The method includes: obtaining a first model pool; inputting, in an nth iteration process, ith battle state data into an nth decision model to obtain an action instruction outputted by the nth decision model, the ith battle state data being for representing a battle state at an ith battle time in a battle process, and the action instruction being for instructing a first client to control a first virtual character to act and return i+1th battle state data collected by the first virtual character after acting; training the nth decision model based on battle state data in the battle process to obtain an n+1th decision model, the battle state data comprising the i+1th battle state data; and adding the n+1th decision model to the first model pool.

Abstract: A decision model training method and apparatus are provided. The method may include: obtaining model pools of virtual characters, the model pools including decision models corresponding to the virtual characters, and the decision models being used for indicating battle policies adopted by the virtual characters in battles; updating and training nth decision models of the virtual characters based on battle data of a battle between the virtual characters in an nth iteration process to obtain n+1th decision models of the virtual characters; adding the n+1th decision models to the model pools of the corresponding virtual characters; and determining, based on an iterative training end condition being satisfied, decision models obtained by the last round of training in the model pools as target decision models of the virtual characters.

Abstract: An additive manufacturing feedstock production system includes a transition roller configured to combine reactive metal foils into combined reactive metal foils with a first combined thickness. The additive manufacturing feedstock production system includes a work roller configured to compress the combined reactive metal foils to a second combined thickness less than the first combined thickness, and a first processing module configured to segment and stack the combined reactive metal foils into stacked reactive metal foils, and feed the stacked reactive metal foils into the work roller. The work roller is configured to repeatedly compress the stacked reactive metal foils into compressed stacked reactive metal foils with a stacked thickness equal to the second combined thickness. The additive manufacturing feedstock production system has a second processing module configured to segment the compressed stacked reactive metal foils into a wire feedstock.

Abstract: An additive manufacturing apparatus includes powder supplies, a preceramic binder supply, and a mixer device downstream from the powder supplies and the preceramic binder supply and configured to generate a powder-integrated preceramic mixture. The additive manufacturing apparatus also includes a nozzle device downstream from the mixer device and configured to output the powder-integrated preceramic mixture, and a heat source configured to heat the powder-integrated preceramic mixture to initiate a self-sustainable ceramization reaction to generate a ceramic matrix composite.

Abstract: The present disclosure provides for porous polymer materials that include an ordered array of voids separated by a polymer framework. The porous polymer material can have a recovery state where the voids are in an uncollapsed state and iridescent color, and a deformed state having voids in a collapsed state that is non-iridescent or substantially transparent. The materials can have regions of both states simultaneously. Also described are methods for fabricating a polymer material as above, as well as chromogenic sensors including the polymer material. The sensors can have hidden anti-counterfeiting patterns, hydrophobic/oleophobic properties, and chromogenic transformation can be triggered by various stimuli such as solid target compounds, light energy, and more.