Abstract: An atomization core module includes: a heating assembly having a heating unit, and a first electrode and a second electrode that are connected to the heating unit; a first connecting member having a mounting cavity, the heating assembly being disposed in the mounting cavity, the first electrode being electrically connected to the first connecting member; a second connecting member sleeved on an outer side of the first connecting member, the second electrode being electrically connected to the second connecting member; and an insulation member disposed between the first connecting member and the second connecting member so as to insulate the first connecting member from the second connecting member.

Abstract: A vaporizer includes: a liquid storage tank for storing liquid; a vaporization core for vaporizing the liquid in the liquid storage tank; and a mounting base provided with an airflow channel penetrating an air inlet end and an air outlet end of the mounting base, a part of the airflow channel close to the air inlet end including a vaporization cavity and a part of the airflow channel close to the air outlet end including an air outlet channel such that vaporized liquid enters the air outlet channel from the vaporization cavity. A condensed liquid collecting structure is provided on the mounting base such that vapor of the vaporization cavity enters the air outlet channel through the condensed liquid collecting structure. The condensed liquid collecting structure collects the liquid condensed and left in the air outlet channel.

Abstract: A vaporizer includes: a bottom plate having a first surface and a second surface arranged oppositely; a vaporization base arranged on and covering the first surface of the bottom plate and cooperating with the first surface of the bottom plate to form a vaporization cavity; a vaporization core accommodated in the vaporization cavity, the vaporization core heating and vaporizing liquid in the vaporization cavity when energized; and a liquid guiding assembly for absorbing liquid on the bottom plate, the liquid guiding assembly including: a first liquid guiding portion arranged on the first surface of the bottom plate and cooperating with the first surface of the bottom plate to form at least one first liquid guiding channel; and a second liquid guiding portion including at least one second liquid guiding channel, one end of the second liquid guiding channel being in communication with the first liquid guiding channel.

Abstract: The present invention provides a screening method of negative regulatory factors of a Streptomyces biosynthesis gene cluster, the method including: constructing a reporter system in a Streptomyces cell, which is mediated by a promoter of a self-owned target gene of the Streptomyces cell, and then randomly mutating Streptomyces with the reporter system by using a random mutation system constructed based on a transposon Himar1; intensively screening Streptomyces strains that have been subjected to random mutation to obtain a Streptomyces strain with high expression of the target gene; performing phage packaging on a genome of the Streptomyces strain with high expression of the target gene and screening out a cosmid with a random insert; and determining the position of the random insert in the genome of the Streptomyces strain with high expression of the target gene by sequencing DNAs of the cosmid.

Abstract: An analog circuit fault mode classification method comprises the following implementation steps: (1) collecting M groups of voltage signal sample vectors Vij to each of fault modes Fi of the analog circuit by using a data collection board; (2) sequentially extracting fault characteristic vectors VijF of the voltage signal sample vectors Vij by using subspace projection; (3) standardizing the extracted fault characteristic vectors VijF to obtain standardized fault characteristic vectors; (4) constructing a fault mode classifier based on a support vector machine, inputting the standardized fault characteristic vectors, performing learning and training on the classifier, and determining structure parameters of the classifier; and (5) completing determination of fault modes according to fault mode determination rules. The fault mode classifier of the present invention is simple in learning and training and reliable in mode classification accuracy.

Abstract: A material supply device is provided, to eliminate bubbles in materials supplied by the material storage tank to the glue supply syringe. The material supply device includes: a material storage tank; a material supply tank provided with a material supply outlet; and a bubble elimination component, configured to be in communication with the material storage tank and the material supply tank and eliminate bubbles in materials supplied by the material storage tank to the material supply tank.

Abstract: A wireless sensor network sensor network charging method for multi-charge nodes, including the following steps: (1) establishing a WSNs model; (2) dividing field ranges of charging trolleys; and (3) charging the charging trolleys: (a) initializing: l=0 and j=0, wherein l is the total number of received alarm nodes, and j is the serial number of an alarmed node; (b) receiving an alarm signal, updating values of l and j, generating a shortest charging path sl, and computing an energy discriminate vector; (c) if a vector element satisfies Qlj?5% B and j=1, 2, . . .

Abstract: An analog circuit fault mode classification method comprises the following implementation steps: (1) collecting M groups of voltage signal sample vectors Vij to each of fault modes Fi of the analog circuit by using a data collection board; (2) sequentially extracting fault characteristic vectors VijF of the voltage signal sample vectors Vij by using subspace projection; (3) standardizing the extracted fault characteristic vectors VijF to obtain standardized fault characteristic vectors; (4) constructing a fault mode classifier based on a support vector machine, inputting the standardized fault characteristic vectors, performing learning and training on the classifier, and determining structure parameters of the classifier; and (5) completing determination of fault modes according to fault mode determination rules. The fault mode classifier of the present invention is simple in learning and training and reliable in mode classification accuracy.

Abstract: A wireless sensor network sensor network charging method for multi-charge nodes, including the following steps: (1) establishing a WSNs model; (2) dividing field ranges of charging trolleys; and (3) charging the charging trolleys: (a) initializing: l=0 and j=0, wherein l is the total number of received alarm nodes, and j is the serial number of an alarmed node; (b) receiving an alarm signal, updating values of l and j, generating a shortest charging path sl, and computing an energy discriminate vector; (c) if a vector element satisfies Qlj?5% B and j=1, 2, . . .