Abstract: The present application provides a negative electrode active material, a secondary battery comprising the same and an electrical device, wherein the negative electrode active material comprises a matrix material and a silicon-based material, the matrix material comprises a plurality of pore structures, at least a part of the silicon-based material is located in pore structures of the matrix material, at least a part of the silicon-based material has a crystalline structure, the silicon-based material comprises a first silicon-based material and a second silicon-based material with different grain sizes, and a ratio of grain size of the first silicon-based material to grain size of the second silicon-based material is greater than or equal to 1.6. The negative electrode active material can result in a secondary battery having high energy density, high First Coulombic Efficiency, long cycle life and long storage life at the same time.

Abstract: A microfluidic particle sorting apparatus for capturing targets from fluid containing the targets is disclosed. The apparatus includes an inlet for receiving the fluid; a sorting chamber allowing the fluid to flow through; a first outlet for discharging the fluid after flowing through the sorting chamber; a capturing structure for capturing the cells, wherein the capturing structure is upstream of the first outlet, and includes obstacles in an array, each extending through the sorting chamber in a lateral direction with respect to a fluid flow of the fluid; and a second outlet upstream of the capturing structure comprising a plurality of openings; wherein a gap between two adjacent obstacles is equal to or greater than each opening of the second outlet.

Abstract: The invention discloses a digital imaging technology-based method for calculating relative permeability of tight core, comprising the following steps: step S1: preparing a small column sample of tight core satisfying resolution requirements; step S2: scanning the sample by MicroCT-400 and establish a digital core; step S3: performing statistical analysis on parameters reflecting the characteristics of rock pore structure and shape according to the digital core; step S4: calculating tortuosity fractal dimension DT and porosity fractal dimension Df by a 3D image fractal box dimension algorithm; step S5: performing statistical analysis on maximum pore equivalent diameter ?max and minimum pore equivalent diameter ?min by a label. The present invention solves the problems of time consumption of experiment, instrument accuracy, incapability of repeated calculation simulations and resource waste by repeated physical experiment.

Abstract: A network traffic anomaly detection method and apparatus is provided. The method includes: acquiring network flows generated by a network monitoring node within a set period of time; for any one of attributes in the network flows, aggregating the network flows at a set time interval according to the attribute to generate N time sequences with respect to the attribute; determining N samples to be detected corresponding to the network flows according to the N time sequence, calculating respective angular dissimilarity degrees between a first time sequence and N?1 second time sequences corresponding to a first attribute in the other N?1 samples to be detected, and determining a first detection result with respect to the first time sequence; and determining whether each of the samples to be detected is an abnormal data stream according to a detection result.

Abstract: The present invention discloses a method for interpreting and evaluating production profile of multi-layer gas reservoir based on downhole distributed temperature monitoring, including: obtaining downhole distributed temperature monitoring data of target well; preprocessing the downhole distributed temperature monitoring data; segmenting the temperature monitoring data according to test curve characteristics of the target well and logging interpretation results; using a multi-layer gas reservoir seepage pressure field—temperature field coupled model to calculate temperatures of each layer in the borehole production profile of the target well by numerical simulation method; comparing the temperatures of each layer of the borehole production profile with the temperature monitoring data after segmentation, obtaining the optimal flow rate of each production layer with optimization theories, and obtaining the production profile of the target well based on the optimal flow rate of each production layer.

Abstract: The invention discloses a digital imaging technology-based method for calculating relative permeability of tight core, comprising the following steps: step S1: preparing a small column sample of tight core satisfying resolution requirements; step S2: scanning the sample by MicroCT-400 and establish a digital core; step S3: performing statistical analysis on parameters reflecting the characteristics of rock pore structure and shape according to the digital core; step S4: calculating tortuosity fractal dimension DT and porosity fractal dimension Df by a 3D image fractal box dimension algorithm; step S5: performing statistical analysis on maximum pore equivalent diameter ?max and minimum pore equivalent diameter ?min by a label. The present invention solves the problems of time consumption of experiment, instrument accuracy, incapability of repeated calculation simulations and resource waste by repeated physical experiment.

Abstract: A network traffic anomaly detection method and apparatus is provided. The method includes: acquiring network flows generated by a network monitoring node within a set period of time; for any one of attributes in the network flows, aggregating the network flows at a set time interval according to the attribute to generate N time sequences with respect to the attribute; determining N samples to be detected corresponding to the network flows according to the N time sequence, calculating respective angular dissimilarity degrees between a first time sequence and N?1 second time sequences corresponding to a first attribute in the other N?1 samples to be detected, and determining a first detection result with respect to the first time sequence; and determining whether each of the samples to be detected is an abnormal data stream according to a detection result.