Abstract: A method and a device for a predicting desert locust are provided. The method includes: acquiring environment factor data of a target area, where the environment factor data includes total precipitation data, soil temperature data, soil water data, and vegetation index data; extracting fluctuation features corresponding to the environment factor data through wavelet transform, where the fluctuation features include a precipitation fluctuation feature corresponding to the total precipitation data, a soil temperature fluctuation feature corresponding to the soil temperature data, a soil water fluctuation feature corresponding to the soil water data, and a vegetation fluctuation feature corresponding to the vegetation index data; and predicting time when the desert locust presents in the target area based on the fluctuation features.

Abstract: An apparatus for inverting parameters of vegetation leaves based on remote sensing is provided. The apparatus is obtained by performing inverse processes of a PROSAIL model based on a deep neural network, achieving strong physical mechanism and high accuracy. A method for inverting parameters of vegetation leaves based on remote sensing is provided. In the method, the apparatus for inverting parameters of vegetation leaves based on remote sensing is used, and the parameters of the vegetation leaves are obtained by performing inversion based on remote sensing data of the vegetation leaves, achieving high reliability and high accuracy.

Abstract: 1,5-dihydro-2,4-benzodiazepine-3-one derivatives, such as a compound represented by formula I, acts on 5-HT2A and 5-HT2C receptors. The selectivity for 5-HT2A is superior or similar to pimavanserin. The derivative is used for treating schizophrenia or Parkinson’s disease, dementia-related behavioral disorders, and psychosis. The antipsychotic activity of the compound is equivalent to that of pimavanserin, the side effects of sedation and and worsening of exercise are less than those of pimavanserin, and cardiotoxicity is less than that of pimavanserin.