137results about How to "Strong application potential" patented technology

The invention discloses application of CRISPR/nCas9 mediated site-directed base substitution in a plant. The invention provides a plant genome site-directed edition system. The system comprises a BE3 plant expression carrier (expressing a fusion protein composed of nCas9(D10A), deaminase and a uracil DNA glycosylase inhibitory protein), and rice OsPDS and OsSBEIIb are taken as target genes for verifying the system. Results show that an expected site-directed mutant plant is respectively obtained in the three selected target spots, accurate site mutation of a base is realized in rice, and the highest efficiency reaches about 20%, so that a feasible and effective base substitution method is provided for crop breeding, the method has strong application potential in the aspect of agricultural breeding, and a foundation is provided for rapidly improving important agronomic traits of crops.

The invention discloses a composite diaphragm for a lithium-selenium battery and a preparation method of the composite diaphragm. The composite diaphragm is formed by smearing a coating material on an original diaphragm basal body, wherein the coating material consists of a titanium dioxide/porous carbon composite material, a conducting agent and a binder, and the titanium dioxide/porous carbon composite material is prepared by adopting a titanium-based metal organic framework as a precursor in a high-temperature carbonization manner. By adopting the composite diaphragm disclosed by the invention, a shuttle effect of poly-selenium ions generated in the charging and discharging process of the lithium-selenium battery between a selenium positive electrode and a lithium negative electrode can be effectively inhibited, and the cycling performance and the rate capability of the lithium-selenium battery can be remarkably improved. The preparation method is simple to operate, the composite diaphragm is low in cost and high in application potential and commercial value, and industrial implementation and mass production can be realized easily.

The invention relates to a preparation method of graphdiyne. The preparation method comprises that 1, in a nitrogen or argon protective atmosphere, a reaction substrate 1,3,5-tripropargylbenzene and a catalyst are put into a reaction container, a solvent is added into the reaction container to dissolve the materials in the reaction container, and the solution undergoes a heating reaction, 2, in the reaction process in the step 1, the solution is subjected to vacuum pumping process multiple times so that a reaction side product 2-butyne is removed and a solvent is supplied to make up for a loss of the solvent, and 3, after the reaction, the reaction product is purified so that the product graphdiyne is obtained. Compared with the prior art, the preparation method has simple processes. The prepared graphdiyne has the uniform surface and a low oxidation degree and can stably exist in air.

The invention relates to fermentation of microorganisms and meat food and specifically discloses lactobacillus plantarum and application thereof in preparation of Sichuan sausages by fermentation. Theprovided lactobacillus plantarum 1-1 is preserved at China General Microbiological Culture Collection Center, the preservation number is CGMCC NO. 15467, and the preservation date is March 20th, 2018. The strain is isolated from traditional sausages of Qingcheng Mountain in Dujiangyan City, Sichuan Province, grows well on an MRS agar culture medium, meets the requirements of meat fermenting agents due to main fermentation characteristics and is suitable for meat fermentation. The lactobacillus plantarum has the capability of degrading sarcoplasmic protein and biogenic amines in an in vitro simulation system, is used in production of the Sichuan sausages, can promote degradation of sarcoplasmic protein of the Sichuan sausages and significantly reduce the content of biogenic amines in the Sichuan sausages and have the potential to be used in actual production of the Sichuan sausages, so that it is ensured that the flavor, taste and safety of the Sichuan sausages are improved.

The invention relates to the technical field of microorganisms, and particularly discloses lactobacillus plantarum N-1 with abilities of reducing cholesterol and promoting intestinal short chain fattyacid generation ability and application of the lactobacillus plantarum. The lactobacillus plantarum N-1 was deposited in the China General Microbiological Culture Collection Center UNDER the accession number of CGMCC NO. 15463 with a deposit date of 20 Mar. 2018. The strain is separated from a traditional yak milk cheese product of Kalong Village, Mula Township, Daocheng County, Garze Tibetan Autonomous Prefecture, Sichuan Province, grows well on an MRS agar medium, has certain tolerance capacity on acid and bile salt, has high adhesion ability to human colon cancer cells Caco-2, has high cholesterol reducing ability, can remarkably improve generation of intestinal short chain fatty acids, is applied to the field of functional food, not only has actual production value, but also has quiteimportant significance on health of human bodies.

The invention relates to a personalized insole optimization design method based on mechanical characteristics of foot tissue layers of a diabetic patient, which comprises the following steps of: [1] testing and analyzing sole pressure; [2] establishing a finite element model and performing simulation optimization; [3] performing 3D printing. According to the invention, an actual measurement methodand a finite element analysis method are combined, the method has the advantages of accuracy, convenience, rapidness, economy and the like, can analyze various working conditions through a perfect model and various load conditions, and provides a personalized insole design for the diabetic patient, thereby reducing the possibility of the diabetic patient to generate plantar ulcer, relieving the pain of the diabetic patient and providing positive assistance for the diabetic patient to keep the health of the diabetic patient.

The invention discloses an optimum polarity search method for the design of a digital integrated circuit, which comprises the following steps: establishing a XNOR/OR circuit power consumption estimation model through optimizing the power consumption algorithm of a multi-input XNOR gate, so as to obtain the switching activity of the whole XNOR/OR circuit; utilizing the rapid list polarity conversion algorithm to realize conversion from the maximum item of a Boolean function to the XNOR/OR circuit expansion under the 0 polarity; carrying out the list technology-based polarity conversion algorithm according to the order of Gray code, so as to obtain the XNOR/OR circuit expansion under the other 2<N> minus 1 polarities; and finally obtaining the minimum power consumption, the minimum area and the minimum cost value and the optimum polarity of the XNOR/OR circuit. The invention has the advantages that the XNOR/OR logic circuit with the lower power consumption can be obtained; by measuring 10 MCNC Benchmark circuits, the XNOR/OR circuit corresponding to the optimum polarity searched via the method of the invention can save the switching activity and the area respectively by 94.4 percent and 82.2 percent at the most when comparing with the polarity 0,, and the 10 circuits can averagely save the witching activity and the area by 68.4 percent and 34.2 percent respectively.

The invention discloses a Diaphorina citri Kuwayama high pathogenic Isaria fumosorosea strain IF-BDC01 and application thereof. The Isaria fumosorosea strain IF-BDC01 is preserved in Guangdong Microbiology Culture Center on March 1, 2016 with a preservation number of GDMCC No:60011, and the preservation address is building 59, 100th yard on middle martyr road, Guangzhou. Long-term infection biology and indoor biological determination proves that the Isaria fumosorosea strain IF-BDC01 has very high pathogenicity on Diaphorina citri Kuwayama and very strong infecting insecticidal effect. The strain is an entomopathogenic fungus, and has very strong application potential as an in vivo biopesticide in biological control of Diaphorina citri Kuwayama.

The present invention belongs to the detector technology field, in particular relates to a wide temperate zone terahertz wave detector and a preparation method thereof. According to the present invention, by taking an aluminum gallium nitrogen/gallium nitrogen high electron mobility field effect transistor (HEMT) as a basic structure, by the substrate and by utilizing an epitaxy method, an aluminum gallium nitrogen/gallium nitrogen layer is prepared; then an active area table-board, a gate medium, an ohmic contact window and an electrode are prepared, so that an obtained two-dimensional electron gas in the field effect transistor has the higher electron concentration and mobility, a spectral detector of realizing the high speed, high sensitivity and high signal to noise ratio detection of a THz wave on an over room temperature condition is obtained, and finally, the wide temperate zone detection of the THz wave is realized.

The invention provides a novel thermophilic and salt-resistant strain capable of degrading raw oil and generating an emulsifying agent and an application thereof. Particularly, the invention relates to anoxybacillus rupiensis with the collection number CGMCC No.6614 and an anaerobic bacillus preparation containing the anoxybacillus rupiensis. The invention also relates to an application of the anoxybacillus rupiensis or the preparation thereof in fermenting, culturing and producing biological surface active substances, an application in degrading the raw oil and an application in displacing oil. The anoxybacillus rupiensis strain can grow under the high-temperature and high-salt environment and can adopt the raw oil and molasses as a carbon source to generate the macromolecular emulsifying agent under the aerobiotic and anaerobic conditions; and the biological emulsifying agent has strong emulsifying capability, and also has the effects of effectively improving the solubility of alkane or the raw oil in water and obviously promoting the degradation of the strain to the raw oil. The strain and the emulsifying agent generated thereby can be used for microbial enhanced oil recovery and can increase the oil recovery rate.

The invention belongs to the field of material preparation, and provides a benzotrithiophene-benzothiazolyl covalent organic framework material, preparation thereof and application of the benzotrithiophene-benzothiazolyl covalent organic framework material in photocatalytic decomposition of water to produce oxygen. The benzotrithiophene-benzothiazolyl covalent organic framework material is prepared from benzotrithiophene trialdehyde (BTT) and 4, 4'-(benzo [C] [1, 2, 5] thiadiazole-4, 7-diyl) diphenylamine (Bt) through a Schiff base condensation reaction under a solvothermal condition, the responsiveness to visible light is enhanced, the utilization rate of solar energy is increased, oxygen is produced by photolysis of water, the cost is low, and safety and reliability are achieved. The covalent organic framework prepared by the invention has a large pi conjugated system and good chemical stability, is used for producing oxygen by photocatalytic decomposition of water, and has innovative significance. The material has a great application potential in the field of photocatalytic materials.

The invention relates to an optimum design method for assembly tolerance. The method includes the steps of determining the dimensional tolerance according to an assembly tolerance chain, determining the constraint condition of the assembly tolerance, determining the type and the range of form and location tolerance, determining the minimum machining cost of an assembly as an optimization target, and setting up a target function for optimizing the assembly tolerance, wherein the target function is calculated through the steps of setting a part expression function of the mechanical assembly, determining a total machining cost expression function of the mechanical assembly, determining a machining cost function of each part in the assembly, determining a machining cost function of assembly characteristics, obtaining a total machining cost-tolerance function of the assembly and obtaining the target function for optimizing the assembly tolerance. The optimization tolerance obtained by enabling the minimum machining cost to serve as the target and enabling machining capacity or machining cost or machining economic accuracy to serve as the constraint condition can meet the assembly function requirements of products, the constraint condition of machining is met, and good economic benefits can be obtained.

The invention belongs to the technical field of a detector, and specifically relates to a device used for terahertz wave detection and a preparation method therefor. By taking aluminum-gallium-nitride/gallium-nitride high-electron-mobility field effect transistor (HEMT) as a basic structure, an aluminum-gallium-nitride/gallium-nitride layer is prepared through substrate design and an epitaxial method; and next, an active region table surface, gate dielectric, an ohmic contact window and an electrode are prepared, wherein the two-dimensional electron gas in the obtained field effect transistor is relatively high in electron concentration and mobility, a wave spectrum detection apparatus with high-speed, high-sensitivity and high signal to noise ratio detection can be realized on THz at a room temperature, and terahertz wave detection is realized finally.

The invention relates to an assembly tolerance optimization designing method based on the genetic algorithm. The method comprises the steps that a target function for assembly tolerance optimization is established with the minimum processing cost of an assembly body as the optimization target; the constraint conditions of assembly tolerance are determined; tolerance type information is added to a VGC network to obtain a tolerance network of the assembly body and the value range of dimensional tolerance of various assembly features and the value range of geometric tolerance of the assembly features are selected and determined; genetic coding is conducted by the adoption of a multi-parameter cascade coding method; a fitness function is determined; an operator function is selected and determined; operating parameters of the genetic algorithm are determined. According to the assembly tolerance optimization designing method based on the genetic algorithm, the genetic algorithm shows great application potential through the global searching capacity, the high robustness and the calculation parallelism.

The invention discloses an intelligent detection method for multiple types of diseases of a near-water bridge and unmanned ship equipment. According to the method, an infrastructure disease target detection network CenWholeNet and a parallel attention module PAM based on the bionic thought are included, and the CenWholeNet is an Anchor-free target detection network based on deep learning, mainly comprises a backbone network and a detector and is used for automatically detecting diseases in collected images with high precision. The PAM introduces an attention mechanism into the neural network, comprises two parts of space attention and channel attention, and is used for enhancing the expression ability of the neural network. The unmanned ship equipment comprises a ship body module, a video acquisition module, a laser radar navigation module and a ground station module, supports laser radar navigation without GPS information, remote real-time transmission of video information and high-robustness real-time control, and is used for automatically acquiring bridge bottom information. The method can be widely applied to disease detection of areas with weak GPS signals and complex environment, such as the bottoms of small and medium-sized bridges.

The invention discloses a wireless environment vibration processing module based on Zigbee technology, the monitoring node, and the monitoring system thereof. The wireless environment vibration processing module comprises a microprocessor, a power supply management circuit and a radio frequency module; the microprocessor is connected with both the power supply management circuit and the radio frequency module; and an input and an output interface are disposed on the microprocessor. An AD converter, a signal conditioning circuit and a environment vibration sensor can also be disposed to monitor directly. The wireless environment vibration monitoring node is composed of wireless environment vibration processing modules, or wireless environment vibration processing modules and conventional environment vibration monitoring instruments, can acquire, monitor and transmit the environment vibration data. The wireless environment vibration monitoring system is composed of a controlling computer or gateway computer and the wireless environment vibration monitoring nodes. The invention expands the function of conventional vibration measuring instrument, can be operated by remote controlling, and can realize real time synchronous monitoring and data automatic acquiring, analyzing and processing to environment vibration.

The invention discloses fucose-rich exopolysaccharide as well as a preparation method and application thereof. The L-fucose, D-glucose, D-galactose, D-glucuronic acid and a pyruvic acid unit are usedas raw materials. Molar ratio of 2.03: 1 1.00: 1.18: 0.64: 0.67, mw is 3.65 * 10 < 5 > Da; the strain is prepared by fermenting a Kosakonia sp. CCTCC (China Center For Type Culture Collection) M2018092 strain, the acid hydrolysis exopolysaccharide has reducibility and can be used as a reducing agent and a stabilizing agent, nano-silver with uniform size is prepared through a green method, the EPS/nano-silver antibacterial film is further prepared, and the prepared film has an antibacterial effect and has good application potential in the aspect of biodegradable antibacterial films.

The invention provides an ex-situ intensified washing method for chlorpyrifos contaminated soil. The method comprises the following steps: adding 200mL of reclaimed water in a sewage treatment plant into a conical flask with a stopper filled with uncontaminated loess, and extracting a loess extracting solution under ultrasonic assisted stirring and heating conditions; weighing 5g of crushed straws and adding the crushed straws into the conical flask filled with the loess extracting solution, sealing and culturing by using a preservative film with pores; centrifuging after the humification process is ended, filtering through a filter membrane being 0.45 micrometers so as to obtain a straw humification solution; and performing intensified washing on the chlorpyrifos contaminated soil by taking a mixed solution of the loess extracting solution prepared in the first step and the straw humification solution prepared in the second step as a washing solution. According to the method, the defects in the prior art are overcome, the process is simple, the cost is low, the washing solution is natural and environmentally friendly, secondary pollution in the washing process is avoided, the washing efficiency is high, and the method has high actual application potential.

The invention discloses a highly pathogenic biocontrol bacteria Cordyceps javanica and application thereof. The study finds that Cordyceps javanica has strong insecticidal and insecticidal effects onbemisia tabaci and citrus sinensis, a highly pathogenic Cordyceps javanica strain GZQ-1 is screened and deposited in the Guangdong Provincial Microbial Culture Collection Center on the 20th of August,2018, and s strain collection number is GDMCC No: 60437. The strain is entomopathogenic fungus, can be used as a living biological pesticide, and has very strong application potential in the biological control of the bemisia tabaci and the citrus sinensis and on the disease control caused by germ spread of the bemisia tabaci and the citrus sinensis.

The invention discloses a boron-doped mesoporous flower-like ferroferric oxide/carbon composite wave-absorbing material and a preparation method thereof, and belongs to the technical field of electromagnetic wave absorbing materials. The preparation method comprises the following steps: taking ferric chloride, urea, hexadecyl trimethyl ammonium bromide and boric acid as reaction raw materials andethylene glycol as a solvent, preparing an iron alkoxide precursor by adopting a solvothermal method, and then calcining the iron alkoxide precursor in inert gas to obtain the boron-doped mesoporous flower-like ferroferric oxide/carbon composite wave-absorbing material. The wave-absorbing material and paraffin are compounded for a wave-absorbing performance test, the result of the test shows thata sample has a very strong absorbing performance on electromagnetic waves, and the maximal reflection loss value reaches -51dB; by adjusting the thickness, the effective absorption band can reach 14.2GHz, including the whole C wave band, X wave band and Ku wave band. The wave-absorbing material has an excellent wave-absorbing performance, a wide wave-absorbing frequency band and high absorbing strength, and has a great application potential in the field of wave absorption.

The beauveria bassiana SB038 and the spinetoram in an insecticide disclosed by the invention have a remarkable synergistic effect on the poisoning and killing effects of megalurothrips usitatus. Long-term infection biological research and indoor biological assay show that the combined use of beauveria bassiana and spinetoram has a good prevention and treatment effect on megalurothrips usitatus, and the insecticide has a very strong application potential in biological prevention and treatment, can reduce the use amount of chemical pesticides, has the characteristics of low toxicity and low drug resistance, does not pollute the environment, does not have residues, and can favorably delay the occurrence and development of the insecticide resistance of thrip pests.

The invention discloses a video encoding system in the field of video encoders. According to the video encoding system, an H.264 standard has advantages of other standards so that 50% of encoding efficiency can be saved compared with H.263+ and MPEG-4SP. Therefore, the storage demand is greatly reduced. Due to the powerful function and huge market potential of H.264, many companies at home and abroad start to research the H.264 coding and decoding application and have product disputes. At present, the H.264 standard is studied in China, and a plurality of products are pushed out by using a special H.264 coding and decoding chip. Coding chip speed is fast, however, the performance is fixed, according to the high-definition video sequence real-time encoding method, hardware characteristics are combined, a series of optimization is carried out on the encoder, so that the high-definition video sequence is encoded in real time by the encoder, two output modes are adopted, acquired audio andvideo data can be processed in real time, and the problem of network blockage caused by high-capacity video streams is solved.

The present invention provides a deep learning model construction method based on MEMD (Multiple Empirical Mode Decomposition). The method comprises the steps of: performing band-pass filtering of multi-channel brain electrical signals measured by a brain control device to obtain p-dimensional brain electrical signals, performing signal segmentation of the p-dimensional brain electrical signals bytaking 2 seconds as a unit to obtain a plurality of signal samples, and performing multi-element empirical mode decomposition of each signal sample; obtaining different intrinsic mode function component numbers n for the signal samples, taking the minimum n as c, and retaining the first c intrinsic mode functions; for each signal sample, adding the c intrinsic mode functions obtained through multi-element empirical mode decomposition with the trend of a data sequence X(t) for stacking to obtain three-dimensional data samples with the sizes of q*p*(c+1), and taking the three-dimensional data samples as input of the deep learning model; and constructing a deep learning model applied in the motor imagery. The deep learning model construction method based on the MEMD and the application thereof in motor imagery are high in computing efficiency in the deep learning model, output an instruction which can control the motion of devices such as a mechanical arm, and are good in timeliness andgood in utilization potentiality.