Abstract: The present disclosure provides a primer probe set for human histamine receptor HRH1 mRNA detection, a kit and a detection method, and relates to the technical field of biological detection. In the present disclosure, the primer probe set includes a HRH1-F, a HRH1-R and a probe H1-Probe; where the HRH1-F has a nucleotide sequence shown in SEQ ID NO. 1, the HRH1-R has a nucleotide sequence shown in SEQ ID NO. 2, and the probe H1-Probe has a nucleotide sequence shown in SEQ ID NO. 3. The present disclosure provides a kit including the primer probe set and a detection method. An expression level of the HRH1 mRNA can be detected using an RNA one-step method.

Abstract: The present disclosure provides a reagent for detecting an expression level of a human histamine receptor HRH4 mRNA, a kit and a detection method. In the present disclosure, the reagent includes a specific primer and a probe for a human histamine receptor HRH4, the specific primer includes an HRH4-F and an HRH4-R, and the probe includes an H4-Probe; and the HRH4-F has a nucleotide sequence shown in SEQ ID NO. 1, the HRH4-R has a nucleotide sequence shown in SEQ ID NO. 2 and the H4-Probe has a nucleotide sequence shown in SEQ ID NO. 3. In the present disclosure, a kit for one-step detection and a detection method based on the reagent are prepared, and the expression level of the HRH4 mRNA can be one-step quantitatively detected with simple operation and short detection time.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: The present invention relates to the technical field of agricultural machines, specifically to a furrow opener of a wide seedling row seeder, which includes a frame, where a power device is arranged at the upper portion of the frame, two symmetrically arranged connecting plates are arranged at the lower portion of the frame, a furrow opener shaft is arranged between the two connecting plates, the furrow opener shaft is connected with the power device through a driving device, the furrow opener shaft is fixedly connected with a plurality of furrow opening blades uniformly distributed on the circumferential surface of the furrow opener shaft, a main body of the furrow opening blade is in shape of a rectangular plate, the furrow opening blade is formed by carrying out a twisting treatment on a plate-shaped structure, a head end of the furrow opening blade is vertical to the center line of the furrow opener shaft, a tail end of the furrow opening blade is in parallel with the center line of the furrow opener shaf