Abstract: A method of identifying a sulfur-treated food product, the method including: providing a sample including a food product; analyzing the sample using an analytical method to determine whether the sample includes tryptophan sulfonate; and identifying based on whether the sample includes tryptophan sulfonate that the food product is sulfur-treated, wherein the presence of tryptophan sulfonate indicates that the food product is sulfur-treated.

Abstract: Provided are a method and system for controlling interactive live streaming co-hosting, a device, and a medium. The method includes acquiring a first interactive image and receiving a mirror interactive image of a second terminal by a first terminal, where the first terminal and the second terminal are in a live streaming co-hosting state, and the mirror interactive image of the second terminal is obtained by performing mirror processing on a second interactive image of the second terminal; and combining the first interactive image and the mirror interactive image by the first terminal to obtain a target interactive image.

Abstract: The present disclosure provides a method, system and apparatus for correcting satellite observation data. By acquiring microwave radiometer (MWR) movement observation data of a radiosonde observation limited sounding area, correcting the MWR movement observation data based on corresponding radiosonde observation data, and correcting satellite observation data based on the radiosonde observation data and corrected MWR movement observation data, the present disclosure corrects the satellite observation data of the radiosonde observation limited detection area, reduces an error of the satellite observation data, and makes the satellite observation data more accurate.

Abstract: This optical detection device includes a first photoelectric conversion element that outputs a first output, and a second photoelectric conversion element that outputs a second output, and is configured to combine a first signal caused by the first output with a second signal caused by the second output, in a state where a first condition and a second condition are satisfied. The first condition is a condition that an absolute value of an amount of change until the first signal reaches a peak is different from an absolute value of an amount of change until the second signal reaches a peak, and the second condition is a condition that a sign of the amount of change until the first signal reaches the peak is different from a sign of the amount of change until the second signal reaches the peak.

Abstract: An optical detection device includes first photoelectric conversion element that outputs first output when first photoelectric conversion element is irradiated with light pulse, and second photoelectric conversion element that outputs second output when second photoelectric conversion element is irradiated with light pulse. The optical detection device is configured to combine first signal caused by first output and second signal caused by second output when first photoelectric conversion element and second photoelectric conversion element are irradiated with same light pulse each other, in a state where first condition and second condition are satisfied. The first condition is condition that time position of peak of first signal is different from time position of peak of second signal. The second condition is condition that sign of amount of change until the first signal reaches the peak is different from a sign of the amount of change until the second signal reaches the peak.

Abstract: A neural network mapping method and a neural network mapping apparatus are provided. The method includes: mapping a calculation task for a preset feature map of each network layer in a plurality of network layers in a convolutional neural network to at least one processing element of a chip; acquiring the number of phases needed by a plurality of processing elements in the chip for completing the calculation tasks, and performing a first stage of balancing on the number of phases of the plurality of processing elements; and based on the number of the phases of the plurality of processing elements obtained after the first stage of balancing, mapping the calculation task for the preset feature map of each network layer in the plurality of network layers in the convolutional neural network to at least one processing element of the chip subjected to the first stage of balancing.

Abstract: A neural network mapping method and a neural network mapping apparatus are provided. The method includes: mapping a calculation task for a preset feature map of each network layer in a plurality of network layers in a convolutional neural network to at least one processing element of a chip; acquiring the number of Phases needed by a plurality of processing elements in the chip for completing the calculation tasks, and performing a first stage of balancing on the number of Phases of the plurality of processing elements; and based on the number of the Phases of the plurality of processing elements obtained after the first stage of balancing, mapping the calculation task for the preset feature map of each network layer in the plurality of network layers in the convolutional neural network to at least one processing element of the chip subjected to the first stage of balancing.