3results about How to "Large choice" patented technology

The utility model discloses an improved mushroom inoculation device which comprises a feeding hopper used for containing strains, a conveying device is arranged on the feeding hopper, the conveying device comprises a rotating shaft penetrating through the feeding hopper, the rotating shaft can rotate on the feeding hopper, a spiral plate is arranged on the rotating shaft, and the spiral plate is arranged on the feeding hopper. The spiral plate extends out of the feeding hopper along with the rotating shaft, and a scraper blade is arranged on the rotating shaft in the feeding hopper. According to the utility model, the residue of strains can be reduced, so that the strains injected into the inoculation container are more sufficient, the growth of the inoculation container in the later period is facilitated, the production efficiency of planting is greatly improved, and the production requirements of modern users can be better met.

The invention discloses an automatic prompt optimization method and system for retrieval guidance, equipment and a medium. The method comprises the following steps: acquiring a to-be-identified customer dialogue; retrieving a plurality of annotated dialogue examples similar to customer dialogue semantics from a pre-constructed insurance field corpus; generating a plurality of candidate prompts in combination with the basic prompt template according to the example dialogue texts and the labeled intention labels in the plurality of labeled dialogue examples; performing reasoning enhancement processing on the plurality of candidate prompts to obtain a plurality of optimized candidate prompts; and evaluating the intention recognition accuracy of each optimized candidate prompt by utilizing a verification data set containing a real intention label, and selecting an optimal prompt from the plurality of optimized candidate prompts. According to the method, the problems that manual engineering prompting depends on expert knowledge, coverage is incomplete, stability is poor and maintenance cost is high are solved, the defect that traditional model fine adjustment depends on large-scale annotation data and computing resources is overcome, and intention recognition accuracy and adaptability in the insurance field are improved.

The application belongs to the technical field of poly-methyl-acrylimide foam preparation, and particularly relates to super-hydrophilic and super-oleophilic poly-methyl-acrylimide foam and a preparation method thereof. The poly-methyl-acrylimide foam is prepared by using polyvinyl alcohol and metal oxide powder as raw materials, and the poly-methyl-acrylimide foam is soaked in a weak acid solution, so that the polyvinyl alcohol on the surface of the filler is dissolved, and a surface etching reaction between the weak acid solution and the metal oxide powder is utilized to construct a micro-nano rough structure on the surface of the poly-methyl-acrylimide foam, so that the poly-methyl-acrylimide foam has good affinity with polar and non-polar polymers, and the super-hydrophilic and super-oleophilic characteristics are realized. The problems of insufficient impregnation of the poly-methyl-acrylimide foam surface and resin, and insufficient bonding strength between the adhesive and the foam interface are overcome.