Abstract: The present disclosure provides a water storage tank and a gas water heater. The water storage tank includes: a tank body provided with an interface at one end; an adapter provided with a water inlet connector, a water outlet connector, and a waste discharge connector; and a connection pipe installed in the tank body, one end of the connection pipe communicating with the water outlet connector, another end of the connection pipe being spaced apart from an end of the tank body away from the interface.

Abstract: The present invention relates to use of an Anaplasma phagocytophilum protein APH1384 as diagnostic antigen for granulocytic anaplasmosis. The protein can remedy the drawback of missed detection of an existing diagnostic antigen P44 for granulocytic anaplasmosis, improve sensitivity of detection for granulocytic anaplasmosis, and facilitate rapid and accurate clinical diagnosis of granulocytic anaplasmosis.

Abstract: The present invention relates to use of an Anaplasma phagocytophilum protein APH1384 as diagnostic antigen for granulocytic anaplasmosis. The protein can remedy the drawback of missed detection of an existing diagnostic antigen P44 for granulocytic anaplasmosis, improve sensitivity of detection for granulocytic anaplasmosis, and facilitate rapid and accurate clinical diagnosis of granulocytic anaplasmosis.

Abstract: An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks.

Abstract: An objective assessment method for a color image quality based on online manifold learning considers a relationship between a saliency and an image quality objective assessment. Through a visual saliency detection algorithm, saliency maps of a reference image and a distorted image are obtained for further obtaining a maximum fusion saliency map. Based on maximum saliencies of image blocks in the maximum fusion saliency map, a saliency difference between each reference image block and a corresponding distorted image block is measured through an absolute difference, and thus reference visual important image blocks and distorted visual important image blocks are screened and extracted. Through manifold eigenvectors of the reference visual important image blocks and the distorted visual important image blocks, an objective quality assessment value of the distorted image is calculated.

Abstract: An objective assessment method for a color image quality based on online manifold learning considers a relationship between a saliency and an image quality objective assessment. Through a visual saliency detection algorithm, saliency maps of a reference image and a distorted image are obtained for further obtaining a maximum fusion saliency map. Based on maximum saliencies of image blocks in the maximum fusion saliency map, a saliency difference between each reference image block and a corresponding distorted image block is measured through an absolute difference, and thus reference visual important image blocks and distorted visual important image blocks are screened and extracted. Through manifold eigenvectors of the reference visual important image blocks and the distorted visual important image blocks, an objective quality assessment value of the distorted image is calculated.

Abstract: An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks.