Abstract: The present disclosure relates to the technical field of fiber-optic gas sensing and laser photoacoustic spectroscopy, and reliability of a gas detection system is improved by actively selecting a working frequency of low noise interference combined with an optical fiber photoacoustic sensing probe capable of isolating high-frequency noise. A gas enters a photoacoustic microcavity through gaps on a sound-sensitive diaphragm after diffusing into a miniature air chamber through a plurality of micropores. Photoacoustic excitation light is incident into the photoacoustic microcavity through a fiber-optic collimator and then excited to generate a photoacoustic pressure wave to cause the sound-sensitive diaphragm to vibrate periodically. An end face of a single-mode optical fiber and the sound-sensitive diaphragm constitutes a fiber-optic Fabry-Perot interferometer. The interferometer measures a deflection of the diaphragm and inverts a concentration of the to-be-measured gas.

Abstract: A generic inert bio-vector Salmonella sp. S9H and potential uses thereof are provided. The generic inert bio-vector Salmonella sp. S9H is derived from a continuous in-vitro culture of an inert bio-vector bacterium Salmonella sp. S9 by using LB solid and liquid culture media for passage to the fortieth generation. With a quantity of bacteria at a working concentration, the S9H does not cause non-specific agglutination reactions in sera or whole blood derived from humans, mice, cattle, pigs and poultry (including chickens, ducks, geese, turkeys, pigeons and quails); moreover, S9H has a property of carrying, and expressing and displaying different antigen factors derived from humans, mice, cattle, pigs and poultry (including chickens, ducks, geese, turkeys, pigeons and quails) on the surface thereof .

Abstract: A system for converting a machine learning algorithm includes: a programmatic interface layer configured to construct a data-flow diagram of an original machine learning algorithm based on a preset data flow generation tool; an operator placement and evaluation module configured to calculate placement costs of each operator in the data-flow diagram when the operator is executed by different participants; a data-flow diagram dividing and scheduling module configured to divide the data-flow diagram into multiple sub-diagrams according to the placement costs, and schedule each of the sub-diagrams to a target participant for execution; and a compilation and execution layer configured to compile the sub-diagrams into a new data-flow diagram based on a greedy algorithm strategy, and generate an instruction for each operator in the new data-flow diagram to obtain a distributed privacy protection machine learning algorithm.

Abstract: The present invention relates to an inert carrier Salmonella and potential use thereof, which is expected to be developed into a new inert carrier bacteria, and can be applied to the development of an indirect agglutination test method for simple and rapid detection of antigens or infected antibodies. The inert carrier Salmonella has been deposited in CGMCC in Beijing on Mar. 18, 2019 with the accession number of CGMCC No. 17340, and is classified as Salmonella sp. with a strain code of S9. The Salmonella has no visible agglutination reaction with various chicken sera derived from different genetic backgrounds, i.e., it has no non-specific agglutination reaction with chicken sera derived from broad range of genetic backgrounds.