1037results about How to "The result is stable" patented technology

The invention relates to a liquid phase chip for joint detection of multiple tumor markers and a preparation method thereof. The liquid phase chip comprises micro-balloons of a coupled antibody (at least two of the followings: AFP, CEA, CA125, CA153, CA19-9, CA242, CA72-4, PSA, HGH, Beta-HCG), corresponding biotin-labeled detection antibodies, streptavidin phycoerythrin and vegetable hydrosol or polysaccharide hydrosol which has a solute content of 1-10 wt per thousand and does not contain protein. The preparation of the liquid phase chip comprises refining and purification of hydrosol, coupling between captured antibodies and micro-balloons, preparation of biotin-labeled antibodies, dispersing the coupled micro-balloons into the vegetable hydrosol or the polysaccharide hydrosol, and the like. The liquid phase chip has the advantages of stable performance, good micro-balloon dispersivity, long preservation time, fast and convenient use and operation, small amount of samples in use, high detection sensitivity, wide linear scope and low detection cost, can detect ten tumor markers at most at one time, and requires a cost which is a quarter of the total fee of conventional methods.

An artificial flagstone for use in combination with other similar flagstones for covering a surface with a natural random look, the flagstone having a generally hexagonal body comprising a first, second, third, fourth, fifth and sixth consecutive vertices; a first pair of generally congruent irregularly-shaped first and second sides extending radially from the first vertex and being rotationally spaced from each other by an angle α of approximately 120°; a second pair of generally congruent irregularly shaped third and fourth sides extending radially from the third vertex and being rotationally spaced from each other by an angle β of approximately 120°; a third pair of generally congruent irregularly shaped fifth and sixth sides extending radially from the fifth vertex and being rotationally spaced from each other by an angle ω of approximately 120°; wherein the sides of each of the first, second and third pair of sides have at least one split deviation along their length and are respectively rotational images of each other, whereby in use in combination with other flagstones, each one of the sides is matingly engageable with the sides of an equivalent pair of sides of a neighbouring flagstone.

A plurality of iris images of a person to be authenticated in which the positions of extraneous light reflection are respectively different are captured by using an image capturing device. Iris codes, that is, features for authentication, are respectively extracted from the plural iris images, and the plural iris codes thus extracted are respectively compared with a registered iris code, so as to generate a plurality of comparison results. The plural comparison results are integrated to obtain an ultimate comparison score, which is used for the authentication.

The invention provides an SAR (synthetic aperture radar) image change detection algorithm based on non-supervision depth network learning. The algorithm includes the steps: 101 starting an SAR image change detection method based on a non-supervision depth nerve network; 102 performing FCM (fuzzy c-mean) joint classification for two registered SAR images of different time phases in the same area to obtain rough change detection results; 103 selecting noiseless points with large possibility to serve as training samples of the depth network according to initial change detection results; 104 inputting sample points to be trained to the designed depth nerve network to be trained; 105 inputting two images to be detected to the trained depth nerve network to obtain a final change detection result map; 106 finishing the SAR image change detection method based on the non-supervision depth nerve network. Ohm= {ohm1 and ohm2}. Construction links of a difference map are avoided, sensitivity of noise is improved to a certain extent, and detection efficiency and detection accuracy are remarkably improved.

A hydrogenation catalyst and its preparation and use are disclosed. The said catalyst consists of NiO 10-30wt.% and Al2O3 70-90wt.%, obtained by: drying quasi-hydrated aluminum oxide powder, passing steam to ream, roasting to have macroporous aluminum oxide carrier, dipping it in a solvent containing nickel compound, filtering, drying, roasting to form the final product. It is suitable for fractional oil containing dialkene and styrene and their derivatives to directly prepare solvent with high aromatic hydrocarbon and gasoline with high octane level by hydrogenation.

The invention belongs to the technical fields of biochips and diagnostic reagents, and discloses a method for detecting various respiratory viruses, and primers and probes thereof. In the invention, nucleotide sequences of 14 respiratory viruses, namely adenovirus, human metapneumovirus, influenza virus A, influenza virus B, respiratory syncytial virus, bocavirus, rhinovirus, coronavirus (HKU1, NL63 and SARS), and parainfluenza virus (type I, type II, type III and type IV) are analyzed, and corresponding reverse transcription primers, PCR primers and specific probes are designed. Specific gene segments are amplified by reverse transcription and multiple asymmetric PCR methods; a fluorescence-coded microsphere group coupled with the virus specific probes and the PCR amplification product are incubated and hybridized by liquid phase chip technology; and finally the Bio-PlexTM200 is used for detection. The detection method has the advantages of high flux, high specificity and sensitivity, stable results and good repeatability, the detection method is easy to operate, and the detection speed is high.

An injectable bone mineral substitute material composition with the capability of being hardened in a body fluid in vivo, which comprises at least one calcium phosphate component and at least one calcium sulfate component as a dry mixture mixed with an aqueous liquid, and at least one accelerator, the at least one calcium sulfate component being particulate hardened calcium sulfate, which has a specified particle size that is in order to confer injectability to the composition. The invention also concerns the bone mineral substitute material produced from the composition as well as methods and uses thereof.

A device for carrying out a cosmetic method or treating skin ageing and the method comprising the following steps: a) connecting an electronic device, able to generate high frequency electric current waves having a distorted sinusoidal wave form by the presence of harmonics, to one or more electrodes of essentially laminar shape; b) applying said one or more electrodes on the skin surface in the area to be treated; c) activating said electronic device in order to transfer said current waves to said one or more electrodes and to maintain said device activated for a predetermined time; d) deactivating said device and removing the electrodes form the contact with the treated area.

An automatic image-processing method for applying a mask onto a target image includes the following steps: a) obtaining a target image, in particular an image of a face; b) for at least one area of the target image, identifying the reference points corresponding to at least the points that make it possible to define a typical case of spatial imperfection; c) for at least that area, applying at least one test for detecting spatial imperfection by comparing the target image with a reference image; d) according to the spatial imperfection detected, identifying a spatial correction mask to be applied to the area of the image including said imperfection; and e) applying the mask onto the pertinent area of the target image. An image-processing system also is provided.

The invention relates to a composite sleeve double-helix heat exchanger. At present, a plate type heat exchanger has high coefficient of heat transfer but can bear lower working pressure; a pipe shelltype heat exchanger is of a pressure-resisting structure but has very low coefficient of heat transfer; and a pipe type heat exchanger is formed by a single heat exchanging pipe or a heat exchange pipe bundle and has low heat transfer rate due to thick viscous flow layer of liquid inside the pipe and poor circulation state due to very low flow rate of liquid outside the pipe. In a double-helix three-sleeve heat exchanging pipe bundle of the composite sleeve double-helix heat exchanger, a middle pipe and a hollow inner pipe form an inner flow passage; inner helical blades are arranged in an annular gap of the middle pipe and the inner pipe; an outer pipe and the middle pipe form an outer flow passage; outer helical blades with opposite handedness with the inner helical blades are arranged in an annular gap of the middle pipe and the outer pipe; and two-phase liquid fast forms an annular lamella in the pipe to flow forwards in a helical scouring way. The structure not only has strong structure, but also can greatly improve the heat-transfer characteristic of the heat exchanger.

The invention provides a DNA (deoxyribonucleic acid) sequence used for circular RNA (ribonucleic acid) expression and a vector containing the DNA sequence used for circular RNA expression. The vector is inserted in a eukaryotic expression vector, a lentiviral vector, an adenovirus vector or a retroviral vector to form a series of special expression vectors for circRNA. The DNA sequence and the corresponding expression vector have the best effects, are simple and convenient to operate and are stable in results and efficient in expression (the circRNA expression level is increased by more than a hundredfold). The sequence and the corresponding vector can be widely applied to expression of various circRNA, provide a powerful research tool for the functions and mechanisms of circRNA and provide theoretical support for research and development of further determination of circRNA molecules as novel markers and disease treatment targets.

The invention relates to a method for extracting chlorogenic acid from honeysuckle by using a compound enzyme method and researches a novel process for extracting a main medicinal effective component of the chlorogenic acid from the honeysuckle by a cellulose and pectinase compounding enzyme method. Through a single factor experiment and an orthogonal test, optimal process conditions for extracting the chlorogenic acid from the honeysuckle by using the compound enzyme method can be optimized: the enzymolysis temperature is 45DEG C, the pH is 4.5, the compound ratio of the cellulose to the pectinase is 1.0:0.3 and the enzymolysis time is 1.5 hours. The test result shows that the process repeatability is favorable and the result is stable. The extraction rate of the chlorogenic acid extracted from the honeysuckle by using the compound enzyme method can reach 83.06 percent which is improved by 16.93 percent in comparison with the extraction rate of the chlorogenic acid extracted by using a water extraction process.

The invention provides a setup method of a network flow classification model. The method includes that identification indexes are selected and extracted from the stream data packets of the caught network flow; an initialization cluster center is selected under the set-up cluster numbers according to the identification indexes; a clustering operation is taken on the identification indexes and a new cluster center is newly computed; the normalized mutual information values of all clustering operation results are computed respectively under the set-up cluster numbers and one of the clusters is selected as the best cluster number according to the normalized mutual information values; the clustering operation result under the best cluster number and the new cluster center are selected as the network flow classification model according to the obtained best cluster number. The invention verifies if the selection of the cluster numbers is right by the computation of a NMI value and gives better clustering feature and higher identification precision by the selection of the best cluster number.

The invention provides a view-variable three-dimensional reconstruction device based on laser radar swinging. The view-variable three-dimensional reconstruction device comprises a laser radar swinging mechanism, a mechanism movement control module and a three-dimensional point cloud reconstruction module, wherein the laser radar swinging mechanism comprises a single-line laser radar, a laser radar center fixing mechanism and a laser radar swinging control mechanism, the single-line laser radar is three-dimensional point cloud data collecting equipment, the laser radar center fixing mechanism bears the weight of the laser radar and fixes the center of the laser radar, and the laser radar swinging control mechanism achieves regulation of the view range of the laser radar and drives the laser radar to swing in an omni-directional manner; the mechanism movement control module controls the movements of the laser radar swinging mechanism and measures the pose of the laser radar in real time; the three-dimensional point cloud reconstruction module splice multiple frames of laser radar measuring data to reconstruct spatial three-dimensional point cloud. The view-variable three-dimensional reconstruction device has the advantages that measuring and reconstruction of a three-dimensional environment can be completed, the view range and point cloud distribution can be regulated according to needs so as to emphasized measuring of the space information of different positions, and the device is high in precision, high in reliability and good in adaptability.

Some embodiments of the invention provide solid compositions that, when exposed to or otherwise placed in an aqueous solution, will release chlorine dioxide and surfactants, producing a soapy, aqueous solution containing chlorine dioxide. These solid compositions comprise an alkali chlorite salt, a solid acid source, and a surfactant. In some other embodiments, the solid compositions produce a non-soapy aqueous solution containing chlorine dioxide. These solid compositions comprise an alkali chlorite salt and a solid acid source.

The invention discloses an SAR image change detecting algorithm based on superpixel segmentation and characteristic learning. The algorithm comprises the first step of starting a SAR image change detecting method based on the superpixel segmentation and the characteristic learning; the second step of conducting the superpixel segmentation on two SAR images at the same area and different time phases after rectification; the third step of utilizing a difference degree clustering method to generate an initiation change result; the fourth step of selecting samples with the same quantity as training samples from a changed category and an unchanged category according to the initiation change result; the fifth step of inputting samples to be trained into a designed deep neural network to be subjected to training; the sixth step of inputting the two images to be detected into the trained deep neural network to obtain a final change detecting result; the seventh step of finishing. According to the SAR image change detecting algorithm based on the superpixel segmentation and the characteristic learning, a superpixel block is adopted as a basic processing unit, the time spent in processing data can be shortened to some degree, sensitive problems of noise are improved to a large extent, and the detecting result and the detecting accuracy are obviously improved.

The invention discloses a method for aerially photographing a crop canopy picture for crop nitrogen analysis and soil fertilization guidance by using an unmanned aerial vehicle. The crop canopy picture is aerially photographed through the unmanned aerial vehicle, meanwhile, aerial latitude and longitude corresponding to the crop canopy picture are obtained, and crop nitrogen analysis and soil fertilization guidance are carried out by combining picture information and latitude and longitude information. According to the obtained method, large-area farmland information can be quickly obtained, influence and limitation of crop growth and farmland environments are avoided, a crop nitrogen state is diagnosed by using color parameters of the picture and the nitrogen fertilizer topdressing index is recommended, the method is accurate and reliable, accurate management of a nitrogen fertilizer is facilitated and better economical and ecological benefits are achieved. The method is fast and simple in operation, stable and reliable in structure, low in operation cost and beneficial to farmland application and popularization; and fine farming of the farmland can be significantly promoted. The aerial photograph equipment of the unmanned aerial vehicle is simple in structure and beneficial to efficient and stable aerial photographing of the crop canopy picture.

A housing for an immunochromatography apparatus capable of detecting the concentration of an analyte contained in a sample even if it is relatively low in concentration is provided. In the housing 1 of immunochromatography apparatus having an observation window 5, the observation window 5 of the housing 1 is made of a colored transparent plastic material having a transmittance of at least 20%, preferably at least 40%, so that a detection line displayed on a developing strip 2 contained therewithin can be seen therethrough, the other portion of the housing than the observation window 5 is made of a colored transparent plastic material having a transmittance of at least 12%, and the observation window 5 and the housing 1 are simultaneously and integrally molded out of the same plastic material.

A method of processing images in images comprising curvilinear structures comprises, in parallel, a step of filtering said images and a decision step intended to select the pixels of the images pertaining to a curvilinear structure, the method comprising, in parallel, a sub-step of estimating the direction of each image pixel, as well as a sub-step of analyzing the connectivity of neighboring pixels based on their directions at the end of the sub-step of estimating the direction of each image pixel, and a sub-step of selecting groups of pixels as a function of the result of the sub-step of analyzing the connectivity of neighboring pixels based on their directions, at the end of the step of filtering. Such a method allows selection of curvilinear structures which are fine structures such as a catheter in a medical image, or thicker structures such as a tree-like structure of blood vessels. This method may be used, for example, in medical scanning apparatus for detecting artery anomalies such as stenosis or a diffuse coronary disease.

The present invention is directed to chimeric recombinases comprising a serine recombinase operatively linked to a zinc finger nucleotide binding domain such that the chimeric recombinase protein catalyzes site-specific recombination at a DNA site specifically bound by the zinc finger nucleotide binding domain. The serine recombinase can be one of several naturally occurring serine recombinases. The invention also includes nucleic acids encoding the chimeric recombinases, vectors including the nucleic acids, host cells transformed or transfected with the vectors, methods of using the chimeric recombinases to carry out recombination, methods of using substrate-linked protein evolution to generate additional chimeric recombinases, methods of using the chimeric recombinases for gene therapy, and pharmaceutical compositions.

The invention discloses a method for detecting food-borne pathogenic bacteria by using a colloidal gold nucleic acid test strip based on hyper-branched rolling cycle amplification and a kit for detecting Listeria monocytogenes and Salmonella, belonging to the technical field of biological detect. The method comprises the following main steps: (1) performing extraction and enzyme digestion on the DNA (deoxyribonucleic acid) of food-borne pathogenic bacteria; (2) designing an amplification primer and a nucleic acid probe sequence; (3) performing hyper-branched rolling cycle amplification reaction; (4) annealing and hybridizing; (5) preparing a nano gold probe; (6) preparing a colloidal gold nucleic acid test strip; and (7) detecting a sample. When the sample contains a target gene segment, both a T line and a C line of the colloidal gold nucleic acid test strip are formed into red lines; and if the sample does not contain the target gene segment, only the C line of the colloidal gold nucleic acid test strip is formed into a red line. According to the invention, food-borne pathogenic bacteria in the food sample can be detected quickly, specifically, sensitively, qualitatively and quantitatively; and the invention is simple in probe design, short in operation steps and favorable for popularization.

The invention relates to the technical field of medical equipment and particularly relates to a nucleic acid extractor. The nucleic acid extractor comprises a shell, a rack, a nucleic acid extracting module, a sample bin, a reagent region, a multi-pipette module and a single-pipette module, wherein a table board is arranged on the rack; the nucleic acid extracting module, the sample bin and the reagent region are arranged on the table board; the multi-pipette module and the single-pipette module are positioned above the table board; an X arm is arranged on the rack; a multi-pipette Y arm and a single-pipette Y arm are arranged on the X arm; the multi-pipette Y arm and the single-pipette Y arm slide along the X arm; the multi-pipette module is arranged on the multi-pipette Y arm and slides along the multi-pipette Y arm; the single-pipette module is arranged on the single-pipette Y arm and slides along the single-pipette Y arm. The invention provides the nucleic acid extractor which is simple in structure, capable of preventing cross contamination and small in difference.

The invention discloses an electric car charging dispatching method and system based on the Internet of Things. The dispatching system comprises a sensing layer, a network layer and an application layer. The sensing layer comprises an electric car sensing component for obtaining electric car preference data information and a charging station sensing component for obtaining charging station preference data information. The network layer is a data center server of the Internet of Things and is used for data transmission between the sensing layer and the application layer. The application layer is used for computing dispatching results according to data information collected by the sensing layer and sending the dispatching results to the network layer. The whole system is established based on three models of the Internet of Things, the interconnection feature of the Internet is fully used, a dispatching result generated by a used Gale-Shapley algorithm has the stability on Pareto efficiency, so that best matching of an electric car and a charging station is achieved, electric car dispatching is carried out efficiently in order, therefore, the queuing waiting time of electric cars is shortened, and charging station resources are used reasonably.

The invention discloses a map matching method by use of historical GPS data. The method comprises the following steps: organizing historical GPS point records into a trajectory form according to vehicle ID, recording time and coordinate region and converting the trajectory into a KML file; clipping the road network data of a corresponding region and converting the road network data into a KML format file; overlapping the obtained KML files, marking each GPS point in the trajectory with the ID of the corresponding road section by use of a marking method, and recording the marking data as a data set A; just supplementing direction angle information to the marking data to obtain training data and recording the obtained marking data as a data set B; combining the obtained data set A and the data set B obtained in the fourth step to form a training data set for an ELM algorithm, selecting partial historical data set disjointed with the data set A as test data, finding an EML parameter by use of a parameter finding algorithm until the prediction precision is highest, and taking the corresponding ELM model at the moment as a map matching model in the region.

A tissue staining method which comprises: staining a tissue with a staining reagent wherein a biosubstance recognition site is bonded to particles carrying multiple fluorescent substances accumulated therein; in the stained tissue, counting fluorescent points or measuring fluorescent brightness; and evaluating the expression level of a biosubstance, which matches the biosubstance recognition site, in the aforesaid tissue on the basis of the number of the fluorescent points or fluorescent brightness that was measured.

The invention relates to an automatic prewarning method for strong storms. Doppler weather radar data is used. According to identification on storms, false combination of storms can be successfully identified by adopting a method based on mathematical morphology, namely expansion operation and corrosion operation are comprehensively used during multi-threshold identification, and relatively near storms can be separated from a storm cluster; then, according to tracking of the storms, the tracking process is greatly simplified by adopting a sequential monte carlo method, and situations of splitting, combination and leakage detection of the storms can be handled; and finally, the storms are prewarned, namely linear fitting extrapolation prewarning is realized by being combined with a motion vector field obtained by an optical flow method. According to the method, complicated situations that radar echo is densely distributed and frequently split and combined can be handled. The method has the advantages that a prewarning software system is arranged in provincial and municipal weather stations; high-convection weather prewarning service is provided; and the urgent demands for preventing and reducing disasters in China are met.

The invention discloses a method and a kit for detecting pathogenic bacterium of a food source by a test strip based on NASBA (Nucleic Acid Sequence Based Amplification) and belongs to the technical field of biological detection. The method comprises the following steps of: (1) extracting RNA of pathogenic bacterium of the food source; (2) designing an amplification primer; (3) performing NASBA reaction; (4) designing a catching probe; (5) preparing a nano-gold probe; (6) preparing a collaurum nucleic acid strip; and (7) detecting the samples. The kit using the method to detect Listeria monocytogenes comprises primers (as shown in SEQ ID NO. 1 and 2), enzyme, buffer solution, RNaseH, RNA enzyme inhibitor, dNTPs, NTPs, probes (as shown in SEQ ID NO. 4, 5 and 6) and collaurum nucleic acid strip, etc. By combining NASBA with detection of the test strip, the method disclosed by the invention can realize qualitative or quantitative detection, and has low cost, high detection speed, good specificity, high sensitivity and safety in use.