Abstract: A mixed bacteria for promoting nodulation and nitrogen fixation of Robinia pseudoacacia and their application are provided. The mixed bacteria includes Kocuria sp. X-22, Microbacterium sp. X-26, and Bacillus sp. X-28, all of which have been preserved in China Center for Type Culture Collection, and the preservation numbers respectively are: CCTCC No: M 2019237; CCTCC No: M 2019238; CCTCC No: M 2019239. The mixed bacteria are watered directly around the seedlings of Robinia pseudoacacia. Compared with the single bacteria control group and the sterile control group, the disclosure can produce synergistic superimposing effects, significantly improve the nodulation rate and symbiotic nitrogen fixation of the Robinia pseudoacacia, and promote the photosynthesis of the Robinia pseudoacacia.

Abstract: The present invention relates to a solid pet food component which comprises a mixture of curdlan and a protein and which has a moisture content of at least 40%. The present invention also relates to a wet pet food which contains a solid, pet food components, as described above. The present invention also related to a method of making the solid pet food component and a method of making the wet pet food, as described above.

Abstract: A method, an apparatus, a computer storage medium and a computer device for geological characteristic constraint-based reservoir parameter prediction are provided. The method includes: selecting dominant seismic attributes according to the relevance between different types of seismic attributes of a target stratum and reservoir parameters (S100); on the basis of the dominant seismic attributes, classifying seismic waveforms of the target stratum by a preset waveform classification network model and according to waveform features, so as to obtain a waveform classification result (S200); taking the waveform classification result as a constraint, and constructing different deep neural network models corresponding to different geological characteristics (S300); fusing different trained deep neural network models into a set of spatially varying neural network prediction model (S500); and predicting the reservoir parameters of the target stratum.

Abstract: The present invention relates to a solid pet food component which comprises a mixture of curdlan and a protein and which has a moisture content of at least 40%. The present invention also relates to a wet pet food which contains a solid pet food component, as described above. The present invention also relates to a method of making the solid pet food component and a method of making the wet pet food, as described above.

Abstract: The present invention relates to a method of making a semi-finished pet food as well as such a pet food as part of a process of making a ready-to-eat pet food. The invention also relates to the ready-to-eat pet food. The invention relates to a method of making a semi-finished pet food, the method comprising: from a first source comprising solid food pieces, adding to a package a desired amount of solid food pieces, from a separate second source comprising gravy, adding to the package a desired amount of gravy, wherein the gravy comprises at least 0.5% modified xanthan, at least 85% moisture, and wherein the gravy has a viscosity of 400 centipoise (cp) or below.