Abstract: A liquid cooling plate includes a housing, a support structure, and a coolant. The housing includes a top wall and a bottom wall, the top wall and the bottom wall are covered to form an accommodation cavity, and the accommodation cavity includes a first region and a second region. The support structure is disposed in the first region and is located between the top wall and the bottom wall. The coolant flows in the accommodation cavity to dissipate heat from a heat generating device, the coolant can expand in volume when being heated and shrink in volume when being cooled, and the second region can deform to absorb a volume variation of the coolant.

Abstract: Provided are a water-soluble Pd(II) complex, a synthesis method thereof and use thereof as a catalytic precursor. The complex has a chemical name, ammonium dinitrooxalato palladium (II), and a molecular formula of (NH4)2[Pd(NO2)2(C2O4)]·nH2O (n is the number of crystal water). The Pd(II) complex is synthesized by using PdCl2 or [Pd(NH3)2Cl2] as a starting material which is firstly converted into [Pd(NH3)4]Cl2 in ammonium hydroxide, followed by a chemical reaction between [Pd(NH3)4]Cl2 and excessive NaNO2 to produce trans-[Pd(NH3)2(NO2)2] via ligand substitution mechanism, and finally dissolving trans-[Pd(NH3)2(NO2)2] in an aqueous solution of oxalic acid leads to the formation of the target product (NH4)2[Pd(NO2)2(C2O4)]·2H2O. The complex does not contain chlorine and other elements that are harmful to a catalyst, is readily soluble in water and has a low thermal decomposition temperature.

Abstract: The present disclosure provides a fine-grained image recognition method, an electronic device and a computer readable storage medium. The method comprises the steps of feature extraction, calculation of feature discriminant loss function, calculation of feature diversity loss function and calculation of model optimization loss function. The present disclosure comprehensively considers influences of factors such as a large intra-class difference, a small inter-class difference, and a great influence of background noise of the fine-grained image, and makes constrains such that the feature maps belonging to each class are discriminative and have the features of corresponding class, thus reducing the intra-class difference, decreasing the learning difficulty and learning better discriminative features.

Abstract: The present disclosure provides a fine-grained image recognition method, an electronic device and a computer readable storage medium. The method comprises the steps of feature extraction, calculation of feature discriminant loss function, calculation of feature diversity loss function and calculation of model optimization loss function. The present disclosure comprehensively considers influences of factors such as a large intra-class difference, a small inter-class difference, and a great influence of background noise of the fine-grained image, and makes constrains such that the feature maps belonging to each class are discriminative and have the features of corresponding class, thus reducing the intra-class difference, decreasing the learning difficulty and learning better discriminative features.