686results about How to "Strong characteristic" patented technology

Methods for identifying discrete monomer domains and immuno-domains with a desired property are provided. Methods for generating multimers from two or more selected discrete monomer domains are also provided, along with methods for identifying multimers possessing a desired property. Presentation systems are also provided which present the discrete monomer and / or immuno-domains, selected monomer and / or immuno-domains, multimers and / or selected multimers to allow their selection. Compositions, libraries and cells that express one or more library member, along with kits and integrated systems, are also included in the present invention.

An audio encoder, an audio decoder or an audio processor includes a filter for generating a filtered audio signal, the filter having a variable warping characteristic, the characteristic being controllable in response to a time-varying control signal, the control signal indicating a small or no warping characteristic or a comparatively high warping characteristic. Furthermore, a controller is connected for providing the time-varying control signal, which depends on the audio signal. The filtered audio signal can be introduced to an encoding processor having different encoding algorithms, one of which is a coding algorithm adapted to a specific signal pattern. Alternatively, the filter is a post-filter receiving a decoded audio signal.

[Object] To provide a capacitive touch member having a flexible shape or a stereoscopic shape and includes a light transmissive detection electrode, a manufacturing method therefor, and a capacitive touch detection apparatus including the capacitive touch member.[Solving Means] Produced is a capacitive touch member (10) including a film-like or plate-like support (1) that is formed of an insulating material and has a flexible shape or a stereoscopic shape, a detection electrode (2) that is arranged on at least a part of one surface of the support (1) and formed of a light transmissive conductive layer containing a carbon nano linear structure such as a carbon nanotube, and a lead-out wire (3) that is led out from the detection electrode (2). A capacitive touch detection apparatus is constituted of the touch member (10) and a capacitance detection circuit (60) that is electrically connected to the detection electrode (2) via the lead-out wire (3) and detects a change in capacitance due to approach or contact of a human body with respect to a touch surface (4). The detection electrode (2) may be coated with a protective film, and a surface of the protective film may be used as a touch surface.

The invention discloses an age estimation method and device. The method comprises the steps of inputting a pre-processed to-be-tested human face image into a trained deep convolutional neural network,and acquiring an age estimation result of the to-be-tested human face image. The age estimation method and device have the beneficial effect of acquiring highly accurate age estimation result.

The invention relates to a state recognition and prediction method for a spindle characteristic test bench based on deep learning, which comprises the steps of collecting vibration signals in the operating process of the spindle characteristic test bench, performing normalization processing on the vibration signals, performing noise reduction processing on the normalized vibration signals by adopting EEMD (Ensemble Empirical Mode Decomposition) to obtain IMF components, and reconstructing the obtained IMF components to form restored signals; enabling the restored signals to serve as input samples of a CNN, performing feature extraction on the restored signals to obtain feature vectors, carrying out CNN feature learning on the feature vectors to obtain training feature samples; coding timeinformation for the training feature samples through a multi-layer LSTM (Long Short Term Memory), carrying out classification through Softmax logistic regression to obtain prediction feature samples,and realizing prediction for the operating state; and performing Softmax logistic regression through the training feature samples and the prediction feature samples, carrying out classification on a logistic regression layer so as to judge the fault type of a rotor rotation test bench system, and realizing state recognition. The state recognition and prediction method has fast response performanceand tracking performance.

An audio encoder, an audio decoder or an audio processor includes a filter for generating a filtered audio signal, the filter having a variable warping characteristic, the characteristic being controllable in response to a time-varying control signal, the control signal indicating a small or no warping characteristic or a comparatively high warping characteristic. Furthermore, a controller is connected for providing the time-varying control signal, which depends on the audio signal. The filtered audio signal can be introduced to an encoding processor having different encoding algorithms, one of which is a coding algorithm adapted to a specific signal pattern. Alternatively, the filter is a post-filter receiving a decoded audio signal.

The invention relates ton a variable-distribution porous end mechanical sealing structure, comprising a movable ring and a stable ring which are mechanically sealed, to form an annular sealing end. One side of the sealing end is high pressure side as ascending, while another end is low pressure side as descending, at least one sealing end is disposed with porous structure in different sizes symmetry distributed on the sealed end. Compared with present screw or groove mechanical sealing structure, the invention has better pressure resistance, abrasion resistance and better dynamic pressure effect on fluid membrane, to improve the carrier ability of fluid membrane.

A circuit board including conductive layers bonded to both surfaces of an insulating ceramic substrate, with a brazing material disposed therebetween. The conductive layers comprise at least 99.98% by mass of aluminum, and display an average crystal grain diameter within a range from 0.5 mm to 5 mm and a standard deviation σ for that crystal grain diameter of no more than 2 mm. Each conductive layer comprises at least 20 ppm of Cu, Fe and Si. The surface area of the crystal with the maximum crystal grain diameter within the conductive layers accounts for no more than 15% of the surface area of the insulating ceramic substrate.

A modified emulsion asphalt compounded by inorganic nano-particles and polymer contains 200-700 parts by weight of asphalt, 2-80 parts by weight of modified inorganic nano-particles, 5-50 parts by weight of styrene-butadiene rubber latex, and 170-793 parts by weight of water, wherein the modified inorganic nano-particles is prepared by mixing 95-98 parts by weight of inorganic nano-particles with 2-5 parts by weight of coupling agent, and each components are mixed, followed by normal emulsion treatment to get the emulsion asphalt. The invention utilizes unique surface effect, small size effect and macroscopic quantum tunneling effect etc. of the inorganic nano-particles to give the product comprehensive properties, such as good wear resistance, intensity sum, anti-aging property and fine waterproof effect etc. Using the invention can increase the road maintenance cycle and decrease the cost. Furthermore, the water-proof cost of construction industry is greatly decreased.

Thin films of ferroelectric material with a high mole fraction of Pb(A2+1 / 3B5+2 / 3)O3 substantially in a perovskite phase, wherein A is zinc or a combination of zinc and magnesium, and B is a valence 5 element such as niobium or tantalum, have been prepared. Typically, the mole fraction of Pb(A2+1 / 3B5+2 / 3)O3 in the ferroelectric material is >0.7. The method for preparing the thin films of ferroelectric material comprises providing a precursor solution containing lead, A2+, and B5+; modifying the precursor solution by addition of a polymer species thereto; applying the modified precursor solution to a surface of a substrate and forming a coating thereon; and (d) subjecting the coating to a heat treatment and forming the film in the perovskite phase. Optimal results have been obtained with PEG200 as the polymer species.

The invention relates to a method for identifying the animal-based components in meat and meat products by utilizing an SDS-PAGE (Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis) method, and belongs to the field of food sanitation inspection. The method provided by the invention is utilized to identify the pig, cattle, sheep, chicken and fish-based components in the meat products; the SDS-PAGE is carried out on the soluble proteins which are extracted from the processed sample by carrying out different temperature thermal treatments on fresh animal muscle tissues; and the pig, cattle, sheep, chicken and fish-based components in the meat products are judged according to an electrophoresis pattern. The method provided by the invention has the characteristics of strong specificity and sensitivity, and visual and reliable result judgment, and is simple to operate and has the extremely important significances on preventing animal disease pathogens such as foot-and-mouth disease, avian influenza and the like from spreading into China, preventing illegal retailers from concealing commodity components and guaranteeing the health of people.

The invention relates to a method for preparing porous membranes based on selective swelling of block copolymers. The method includes the steps of preparing a block copolymer (a block copolymer is formed by a block A and a block B) solution, preprocessing microfiltration basement membranes, coating the block copolymer solution on the processed microfiltration basement membranes, placing the microfiltration basement membranes coated with the block copolymer solution in a drying cabinet for vacuum heat treatment (a block copolymer layer solvent is volatilized to form membranes in the process), submerging the microfiltration basement membranes coated with the copolymer thin membranes in a solvent which has a selective swelling effect on one block of the block copolymer to be processed for a while, and taking out the microfiltration basement membranes coated with the copolymer thin membranes from the solvent for drying to obtain the compound porous membranes with block copolymer layers as separation layers and microfiltration basement membranes as supporting layers. The method is simple to operate, convenient and controllable. Chemical reaction is not involved, the prepared compound membranes have high mechanical strength, neat surface structure, and apparent potential of hydrogen (pH)-stimulus sensitivity, show good separation performances and have broad application prospects.

This invention discloses a kind of immunity chromatography test paper and its preparation method which can diagnose the type-C hepatitis virus fast, the said test paper includes the sampling tray, the gold size tray has labeled HCV mix antigen which links one end of the sampling tray closely, the pyroxylin film which links the other end of the gold size tray closely, and the suction sampling tray which links the other end of the pyroxylin film closely, the film encrusts the test (T) line and the quality control (C) line which are separate with each other, the sampling tray, the gold size tray, the film and the suction sampling tray are affixed in the plastic shoe plate to form the test paper, the said T line is the HCV mix antigen which is entrusted in the NC film, the said gold size tray has HCV recombination mix antigen, the said C line is the antibody of the HCV mix antigen entrusted in the film, it is used to test or clinical diagnosis of the HVC antigen, has the merits that the sensitive is high, the specificity is good, the operation is simple, the reaction is fast, it is fit to test in local and it is economical and useful.

The invention discloses a hyperspectral remote sensing image classification method based on a dense residual three-dimensional convolutional neural network. According to the method, original hyperspectral data are used as network input, three-dimensional spatial-spectral features of a hyperspectral remote sensing image are extracted through three-dimensional convolution, the hyperspectral image can be directly processed through three-dimensional convolution, preprocessing operations such as dimension reduction are not needed, and the spatial-spectral features of the hyperspectral image are extracted more sufficiently. The dense residual network is used to deepen the number of network layers and learn deeper spectral and spatial features, the residual network can effectively reduce the problem of gradient disappearance along with the increase of the network depth, and the structure can more effectively utilize the features and enhance the feature transfer between convolutional layers. The training time is shortened through an early stop method, classification prediction is carried out through a Soft-max classifier, and an initial classification result is obtained; and proposing a multi-label conditional random field optimization algorithm, and optimizing a classification result. The method improves the operation efficiency, and improves the classification accuracy of the remotesensing images.

The invention relates to the technical field of image super-resolution reconstruction, in particular to an image reconstruction system and method based on a cross residual channel-spatial attention network. The system comprises a shallow feature extraction module, a depth feature extraction module, an up-sampling module and a reconstruction layer. The input of the shallow feature extraction moduleis a low-resolution image, and the shallow feature extraction module is used for extracting shallow features; the depth feature extraction module comprises a frequency division module and a cross residual group, the input of the depth feature extraction module is the output of the shallow feature module, and the depth feature extraction module is used for extracting deep features; the input of the up-sampling module is a deep feature and is used for up-sampling; and the reconstruction layer is used for reconstructing features to obtain a high-resolution image. The reconstruction network provided by the invention has stronger feature expression capability and differentiated learning capability, and can reconstruct a high-quality high-resolution image.

By aiming at the problems in the existing alginate-derived oligosaccharide extraction, the invention provides a production process for extracting alginate-derived oligosaccharide from sea tangles. A novel process for extracting alginate-derived oligosaccharide from sea tangles by an enzyme hydrolysis method comprises the nine steps of sea tangle powder preparation, soaking, cellulose enzymolysis, digestion, centrifugal filtration, bleaching, sodium alginate lyase enzymolysis, high-speed centrifugal fine filtration and alcohol dehydration. Compared with the existing alginate-derived oligosaccharide extraction process with the yield being 14-15 percent, the novel process has the advantages that the yield is 17-18 percent and is improved by 3 to 4 percent, meanwhile, the process steps are simplified, the use of chemical reagents is reduced, and the product appearance is more attractive.

The invention discloses a high-resolution radar dual-threshold detector based on energy accumulation, belonging to the field of signal processing. Values of all distance units in a distance window, passing through a square-law detector, are compared with a first threshold, quantity and positions a target scattering center are extracted, then energy of the scattering centers is accumulated and compared with a second threshold to obtain a final detection judgment. Compared with the traditional detection, the detector deduces a calculation formula of the threshold to ensure that actual application is more convenience and flexible, is simple in form, is easy to engineering realization, and has better robustness and detection property under the condition of unknown distribution of the scattering centers.

A circuit board including conductive layers bonded to both surfaces of an insulating ceramic substrate, with a brazing material disposed therebetween. The conductive layers comprise at least 99.98% by mass of aluminum, and display an average crystal grain diameter within a range from 0.5 mm to 5 mm and a standard deviation σ for that crystal grain diameter of no more than 2 mm. Each conductive layer comprises at least 20 ppm of Cu, Fe and Si. The surface area of the crystal with the maximum crystal grain diameter within the conductive layers accounts for no more than 15% of the surface area of the insulating ceramic substrate.

The present application discloses a method for detection of insertion deletion mutation based on second generation sequencing, a device and a storage medium. The method comprises the following steps:comparing a sample to be tested with a file of a reference genome to extract a set of candidate mutation sites with mutation allele frequency being greater than or equal to a threshold; filtering to remove sites in a short tandem repeat region; making detail statistics of comparison information of the mutation sites and comparison information surrounding the mutation sites, wherein the comparisoninformation includes InDel site and reference base support number, comparison quality, coverage depth, surrounding non-reference base and other insertion deletion mutations, surrounding read quality;and filtering to remove sites that do not reach the set threshold according to statistical information to obtain mutation results. The method does not require partial assembly, and filters second-generation sequencing data in advance to quickly eliminate most of false positive results caused by the comparison, reduces detection running time and computing resources, improves detection efficiency, has strong sensitivity and specificity, and can quickly and accurately detect InDel mutations.

The invention discloses a multi-degree of freedom mixed entangled W-state photon producing system and method. The multi-degree of freedom mixed entangled W-state photon producing system comprises a first mixing entanglement unit, a second mixing entanglement unit, a polarization entanglement unit and an entanglement exchange unit, wherein the first mixing entanglement unit is used for producing an orbital angular momentum-polarization entanglement photon pair, the second mixing entanglement unit is used for producing a linear momentum-polarization entanglement photon pair, the polarization entanglement unit is used for producing mutually-perpendicular polarization entanglement photon pairs, and the entanglement exchange unit is used for performing entanglement exchange on the orbital angular momentum-polarization entanglement photon pair, the linear momentum-polarization entanglement photon pair and the mutually-perpendicular polarization entanglement photon pairs and obtaining multi-degree of freedom mixed entangled W-state photons. The W-state photons facilitate improvement of the safety of quantum communication and have a strong entanglement characteristic and bit loss resisting capacity, and the influence of noise, decoherence and other factors is reduced.

Disclosed is an add-on communication apparatus attached to an in-cable charging control device integrated with a cable assembly to charge an electric vehicle. The add-on communication apparatus includes a first communication module to make wireless communication with a terminal, a second communication module to make wireless communication with the in-cable charging control device, and a control module. The control module receives a command from the terminal through the first communication module, generates a first control command based on the command, and transmits the first control command to the in-cable charging control device through the second communication module.

The invention adopts polyacrylamide and a nano inorganic phase to prepare a polyacrylamide nano composite material through an in-situ polymerization method and then forms a fracturing fluid thickening agent. The nano inorganic phase is prepared by mixing the products of intercalation reactions between an organic long-chain intercalator and layered silicate with magnesium nitrate and aluminum nitrate. The nano inorganic phase, acrylamide monomer, a coupling agent, a complexing agent, an initiator, an oxidant, a reductant, a cosolvent, an auxiliary agent, and deionized water form a suspension fluid reaction system, and the polyacrylamide nano composite material is formed after the polymerization-intercalation composite reactions. The polyacrylamide nano composite material with a mass percentage of 0.25% is taken as the thickening agent, and then is mixed with a crosslinking agent with a mass percentage of 0.20%, a gel breaker with a mass percentage of 0.20%, and other auxiliary agents to form a fracturing fluid system. The system is sheared for 70 minutes under a shearing speed of 170 s<-1> at a temperature of 150 DEG C so as to form a fracturing fluid with a viscosity larger than 50 mPa.s, and the fracturing fluid has the characteristics of high temperature resistance, shearing resistance, low frictional resistance, complete glue breaking effect, and good compatibility with the formation fluid.

The invention discloses a group of oligonucleotides aptamers capable of specifically recognizing aflatoxin B1. A single-chain deoxyribonucleic acid (DNA) oligonucleotides aptamer capable of specifically recognizing the aflatoxin B1 is acquired by a systematic evolution of ligands by exponential enrichment (SELEX) technology; the aptamer can be transformed into a report aptamer by a fluorescein mark and the like; the report aptamer is used for detecting the aflatoxin B1; and the aptamer sequence can accurately and rapidly check the aflatoxin B1 in the food; and therefore, the oligonucleotides aptamer has the wide application prospect.

The invention relates to a method for detecting horse-breed and mule-breed derived ingredient in gelatin-type traditional Chinese medicine and products. On the basis that specific oligopeptides Gly-Ala-Ser-Gly-Pro-Ala-Gly-Val-Arg is contained in a horse-breed and mule-breed collagen sequence, the specific oligopeptides Gly-Ala-Ser-Gly-Pro-Ala-Gly-Val-Arg is free out from the collagen by virtue of enzyme digestion of restriction endonuclease, and then the gelatin-type traditional Chinese medicine and products are detected by adopting liquid-phase chromatography-tandem mass spectrometry. The method is strong in characteristic, high in sensitivity, simple in operation and capable of identifying whether the gelatin-type traditional Chinese medicine and products are mixed with the horse-breed and mule-breed derived ingredients.

The invention provides an African swine fever virus p72 recombinant protein, a monoclonal antibody and test paper. An amino acid sequence of the African swine fever virus p72 recombinant protein is obtained by linking amino acid sequences shown in SEQ ID NO: 1 and SEQ ID NO: 2 through flexible amino acid fragments, and has strong immunogenicity and specificity. The invention also provides a nucleotide sequence for encoding the recombinant protein. The invention also provides the monoclonal antibody against the African swine fever virus p72 recombinant protein obtained by immunizing animals byusing the recombinant protein. The invention also provides hybridoma cells 7A7 and 3E5 with preservation numbers of CGMCC No. 18540 and CGMCC No. 18539, respectively, and the monoclonal antibody secreted by the hybridoma cells has high sensitivity and specificity to African swine fever virus p72. The invention also provides the latex microsphere test paper containing the recombinant protein antibody and the colloidal gold test paper containing the recombinant protein antibody, and the test paper has the advantages of small batch difference, high detection sensitivity and simple operation.

The invention provides an identification method for illegal cooking oil, and mainly solves the problems in the present identification method for illegal cooking oil. The identification method disclosed by the invention is mainly that: the mass fraction for palmitoleic acid occupying the total amount of fatty acid in grease is detected to identify whether the oil is illegal cooking oil or not; and in the practical detection, a sample is detected by adopting a gas chromatograph-mass spectrometer or a gas chromatography after being saponated and performed with methyl esterification, so as to identify whether the oil is illegal cooking oil or not after adopting peak area or peak height normalization quantitation. The method has the characteristics of definite target spot, strong feature, simplicity in operation, strong repeatability, application in quick detection and the like.

The invention discloses growth promoting fodder special for growing and fattening pigs. The growth promoting fodder is prepared from corn, wheat bran, sweet potato vine powder, cottonseed meal, double-low rapeseed meal, fish meal, shell powder, talcum powder, calcium hydrogen phosphate, salt, multivitamin for the pigs, methionine, cystine, seaweed meal, beta vulgaris pulp, mannan oligosaccharides, nettle meal, luceme meal, carrot meal, purslane meal, peanut vine meal, pine needle meal, a composite additive, complex enzyme preparation and microecologics. The composite additive is prepared from polygonum multiflorum, eucommia, malt, gynostemma pentaphyllum, medicated leaven, poria cocos, hawthorns, lycium, Chinese yam, methionine copper, ferrous sulfate, tryptophan zinc, tryptophan manganese, calcium iodate and sodium selenite. The growth promoting fodder special for the growing and fattening pigs is reasonable in formula, comprehensive in nutrition, good in palatability, and capable of promoting growth of the growing and fattening pigs and improving quality of pork.

The invention relates to a method for controlling the quality of radix scutellariae medicinal materials, comprising the following steps: taking standard radix scutellariae medical materials, obtaining a nuclear magnetic resonance spectroscopy thereof, and using characteristic ingredients of the radix scutellariae to identify the characteristic peak of medicinal effective ingredients as the characteristic peak of the radix scutellariae; taking a radix scutellariae sample to be tested, adopting the same method as a preparation method, a test condition and a test method of the standard radix scutellariae medical materials to test, obtaining a fingerprint electropherogram, and comparing the nuclear magnetic resonance spectroscopy of the radix scutellariae medicinal materials to be tested with the fingerprint electropherogram of the standard radix scutellariae medical materials. According to the differences of characteristic resonance peaks of the fingerprint electropherogram between the radix scutellariae medicinal materials to be tested and the standard radix scutellariae medical materials and number of common characteristic resonance peaks, the radix scutellariae medicinal materials can be classified as the following grades: high-class products: N is greater than 20, first-class products: N is greater than and equal to 18 and is less than or equal to 20, second-class products: N is greater than or equal to 16 and is less than 18, qualified products: N is greater than or equal to 14 and is less than 16, and unqualified products: N is less than 14.

The invention discloses a seasoning placement control method and placement device. The seasoning placement control method comprises setting the flavor type through flavor type numerical strings; combining with heavy flavor coefficients to control the placement quantity; performing sorting flavor selection, flavor type figure flavor selection, divided feeding and the like. The seasoning placement device comprises CPU (Central Processing Unit) control units, a power supply, an input device and at least two feeding units and the structure is simple. Running program codes and at least dozens of flavor type numerical strings are stored in a storage of every CPU control unit, wherein sections of flavor quantity values of one certain flavor type numerical string are converted into corresponding seasoning feeding quantities respectively; the heavy flavor coefficients, food material weight parameters and the flavor type numerical strings can be input through the input device, wherein the flavor type numerical strings can be input, modified, stored and called; the flavor type numerical strings or flavor type composition figures can be displayed through a display and flavors can be distinguished and selected through figure viewing; a plurality of fan-shaped cabins are combined into a compact feeding unit layer and the lightning parallel feeding can be performed through the plurality of CPU control units. The seasoning placement control method and placement device is the optimum selection of kitchens, restaurant delicacy concoction and delicacy enjoyment supply.

The invention discloses a rolling bearing fault diagnosis method based on 1-DCNN (1-Dimensional Convolutional Neutral Network) and LSTM (Long Short-Term Memory) fusion. The method comprises the following steps that a, data processing and expansion are carried out on original one-dimensional vibration signals through utilization of a sliding window overlapped sampling method, thereby obtaining expanded signals; b, the expanded signals are input into two channels of the 1-DCNN and the LSTM for training and analysis, and feature information is extracted, extraction is carried out in the 1-DCNN channel to obtain space feature information, and the extraction is carried out in the LSTM channel to obtain time feature information; c, the space feature information and the time feature information are concatenated through utilization of a concatenate layer, thereby obtaining concatenated features; and d, the concatenated features are connected with a full concatenate layer, and fault types are classified through utilization of a Softmax classifier. The method is relatively high in accuracy rate, relatively rapid in convergence rate and relatively low in loss and has high generalization and robustness.