8results about How to "Few samples" patented technology

The application relates to a liquid sheet injection system and method for X-ray free electron laser experiments, which comprises a pneumatic nozzle device, a flow control device, a signal acquisition device and a vacuum device; the pneumatic nozzle device and the signal acquisition device are respectively arranged in the vacuum device, the pneumatic nozzle device comprises a tube assembly, a gas capillary and a liquid capillary are respectively arranged in the tube assembly, and the gas capillary and the liquid capillary are connected with the flow control device; the end of the liquid capillary comprises two symmetrically arranged flow guide inclined surfaces, two symmetrically arranged abutting inclined surfaces and a bottom surface, the flow guide inclined surfaces and the abutting inclined surfaces are alternately distributed around the bottom surface, and a first outlet is arranged on the bottom surface; a gas micro-flow channel is formed between the end inner wall of the tube assembly and the flow guide inclined surface, and a second outlet is arranged at the end of the tube assembly. The application utilizes the compression and shearing effect of high-speed gas on liquid to generate a free-flowing liquid sheet with a sub-micron thickness under vacuum.

The application discloses a kind of online model parameter identification methods of servo driver based on AI algorithm, steps are as follows: S1. the parameter identification network of being served object is constructed, and current state and target value are input, and the parameter and the predicted state of next time of identification are output;S2. sampling strategy and parameter identification network iterative training are carried out;S3. parameter identification is carried out after the data of true machine sampling is optimized to network.The identification method uses AI algorithm for the system identification of servo motor can solve the problems such as low identification precision and low efficiency, to promote the application in industrial field.

The application discloses a centrifugal microfluidic chip for allergen detection, comprising a chip main body and a plurality of microstructures, wherein the chip main body has a rotation center, and the microstructures comprise: a waste chamber located at the farthest end of the rotation center; a reaction detection chamber provided with a carrier, the carrier being coated with anti-human IgE antibodies; a circular truncated cone-shaped channel, the narrow end of which is connected with the other end of the reaction detection chamber, and the wide end of which is connected with a main channel; a serum separation structure comprising a blood cell chamber and a serum chamber, the serum chamber being connected with the main channel through a siphon valve; a first buffer solution chamber; an allergen chamber; a second buffer solution chamber; an enzyme storage chamber; a third buffer solution chamber; a bottom liquid chamber; and a termination liquid chamber. The application avoids contamination and evaporation of reagents, does not need additional driving equipment, is conducive to integration and miniaturization of the equipment, saves consumption of sample whole blood and reagents, reduces cost and time, and is simple to operate; the application needs small amounts of sample and reagents, has low cost, short detection time, and high detection sensitivity.

This invention belongs to the field of quality control technology, specifically relating to a quality control method for a compound traditional Chinese medicine preparation containing rhubarb. The quality control method of this invention uses thin-layer chromatography (TLC) to identify rhubarb, Viola yedoensis, Kochia scoparia, Cnidium monnieri, Coptis chinensis, or Dictamnus dasycarpus in a rhubarb antipruritic lotion. The method uses a developing solvent with a volume ratio of toluene, acetone, ethyl acetate, and formic acid of 8-10:1-3:1-2:0.1-2 to separate and extract the components to be analyzed from numerous effective drug components. While ensuring identification accuracy, this method allows for the identification of 4-6 traditional Chinese medicine components using a single TLC plate, exhibiting high stability and repeatability. This invention offers the technical advantages of requiring less sampling, simplifying quality testing, and greatly improving detection efficiency.

The invention relates to a photovoltaic unmanned aerial vehicle cleaning path candidate generation method based on representative sampling, and the method comprises the steps: designing a small number of balanced and low-correlation factor combinations around key factors such as starting point selection, an intra-cluster construction strategy, a weight-distance tradeoff coefficient and a cross-grade connection rule through a small-sample representative combination sampling method, and carrying out the selection of the cleaning path candidate of a photovoltaic unmanned aerial vehicle. Quickly generating a small batch of array cluster access sequence candidates with strong representativeness; under each cluster sequence, a component-level path is generated according to a set intra-cluster component sequence and direction optimization strategy; and finally, combining the clusters with the paths in the clusters to generate all candidate paths. According to the method, dirt weight rapid coverage and flight path / time cost control are taken into consideration, and high-quality candidate paths are provided for subsequent global path scoring and screening.

This invention discloses a blind estimation method for frequency-hopping signal parameters based on atomic features. The method involves: first, windowing, compressed sampling, and atomic feature extraction of the frequency-hopping signal; then, roughly estimating the hopping time based on the distribution of atomic features within different windows; next, precisely estimating the hopping time, hopping period, and hopping speed using a block-diagonalized Fourier orthogonal matrix; and finally, estimating the frequency of each hop signal using an orthogonal matching pursuit algorithm, and obtaining the frequency-hopping pattern of the entire sample by concatenating each hop signal. This invention can adjust the search step size and compression ratio to change the computational complexity and estimation accuracy, adapting to different signal-to-noise ratio (SNR) environments. In high SNR environments, increasing the search step size and compression ratio effectively reduces computational complexity, while in low SNR environments, decreasing the search step size and compression ratio effectively improves estimation accuracy.

The application discloses a broad pericarpium citri reticulatae molecular marker, a primer group, an identification method and application, and comprises one or more than two of a P780F5 primer group, a P780F6 primer group and a P780F7 primer group; and the application further provides a method for applying the primer group to identification of broad pericarpium citri reticulatae. Advantages of the application include that the identification of broad pericarpium citri reticulatae is not affected by external factors, is not affected by growth stages, physiological states and sampling positions of materials, and single-point results are permanently effective for whole plants, and the required samples, time, energy and financial cost for detection are greatly reduced.

The invention discloses a thin-layer identification method for a compound traditional Chinese medicine preparation containing liquorice, and belongs to the technical field of thin-layer chromatography. The technical problem to be solved is to provide a thin-layer identification method capable of simultaneously identifying the white mulberry root-bark, the cortex lycii radicis and the liquorice, and the thin-layer identification method is less in sampling and high in detection efficiency. According to the technical scheme, the thin-layer identification method for the liquorice-containing compound traditional Chinese medicine preparation is characterized by comprising the following steps of: spotting a test solution and a reference solution on a thin-layer plate, respectively spotting the test solution and the reference solution on the same silica gel G thin-layer plate to form a strip shape, taking a butyl acetate-methanol-acetone-water-formic acid solution as a developing solvent, and carrying out thin-layer chromatography on the test solution and the reference solution to obtain the liquorice-containing compound traditional Chinese medicine preparation. The volume ratio of butyl acetate to methanol to acetone to water to formic acid is 5: (0.5-2): (2-3): (0.5-1): 1, expanding, taking out, airing, spraying a 10% sulfuric acid ethanol solution of 2% vanillin, heating until the color of spots is clear, and inspecting under sunlight.