1530results about How to "Good choice" patented technology

The invention provides a large language model optimization generation method based on optimal cue word selection, and belongs to the technical field of large language model optimization generation. The technical problem to be solved is to provide the improvement of the large language model optimization generation method based on optimal cue word selection. According to the technical scheme, a selected data set is preprocessed, a sequence is formed by splicing questions and answers, and a spectral clustering algorithm is adopted to divide the sequence into multiple groups of question and answer pairs with similar characteristics; sampling representative samples from each cluster, and based on professional knowledge, language logic and semantic association, constructing high-quality cue words which can guide and generate a large model aiming at a specific problem; a large-parameter online model is used, a diversified and targeted cue word set is generated for each cluster with reference to the created high-quality cue words, generated questions, candidate cue words and answers of the candidate cue words are integrated, and a data set used for fine tuning of the cue evaluation model is constructed; the method is used for generating the language model.

The invention relates to the technical field of supply chain management, in particular to a cloud baking raw material supply chain optimization management system which comprises a demand dynamic adjustment module, a multi-source supplier collaborative management module, a logistics delivery tracking module, an emergency supply remediation module and a supply chain optimization module. Wherein the demand dynamic adjustment module is used for generating raw material demand prediction; the multi-source supplier collaborative management module is used for determining order allocation and delivery priorities through an optimization algorithm; the logistics delivery tracking module is used for monitoring the delivery state of the supplier in real time; the emergency supply remedy module is used for automatically selecting a proper alternative supplier under the condition of logistics abnormity; and the supply chain optimization module is used for optimizing supplier selection and order allocation. According to the invention, through dynamic optimization of supplier selection, order distribution and logistics abnormity response mechanisms, comprehensive optimization of supply chain management is realized in combination with user feedback information, and high efficiency, stability and flexibility of the supply chain are ensured.

The invention provides a drug target affinity prediction algorithm based on protein three-mode and multi-feature fusion, and the algorithm makes full use of sequence information and two-dimensional and three-dimensional structural features of drugs and proteins, and realizes deep integration of data. The technical innovation point lies in that a multi-modal data fusion mechanism and an advanced graph neural network technology are introduced, and the sensitivity and recognition capability of the model to key biomarkers are enhanced through a dynamic attention mechanism. According to the technical advantage, the method has higher accuracy and stability when processing complex biological data, and compared with the prior art, the generalization ability and the interpretability are remarkably improved. In the aspect of technical maturity, the algorithm has passed multiple rounds of verification and shows good prediction performance and adaptability. The method is simple in operation and wide in market application prospect, can assist in new drug discovery and accelerate the drug design process, can also promote the development of the precision medical field, and particularly has important value in targeted therapy and disease prevention strategy formulation.

The invention relates to the technical field of carrier communication, in particular to a multichannel power line carrier communication system which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, a selection module, a sending module and a correction module. According to the invention, through an accurate data acquisition and real-time determination mechanism, complex environment changes in a power network can be effectively dealt with, stability and high efficiency of communication are ensured, channels with optimal parameters such as signal strength, noise, delay and the like are optimized through multi-stage screening and determination, channels with relatively large interference and noise are effectively avoided, and the communication efficiency is improved. Meanwhile, the correction module can adjust the intensity threshold value in real time, it is guaranteed that the system still maintains excellent communication performance when the number of channels fluctuates and the network load changes, and the problems that due to the fact that the attention degree of the influence of real-time environment changes on signal quality is low, channel selection is inaccurate, and verification results are deviated are effectively solved.

The invention relates to a multi-factor fusion Internet of Things outlier data identification method, and belongs to the technical field of Internet of Things, and the method comprises the steps: determining an identified target factor, fusing a plurality of influence factors associated with the target factor, obtaining corresponding historical data, and carrying out the preprocessing; performing correlation analysis on the specific indexes, and selecting index data having significant influence on target factors to form a final effective index combination; constructing a prediction model combining the LSTM with a feature attention mechanism, performing prediction by using the data after correlation analysis screening, outputting a prediction value in a future period of time, and obtaining an actual prediction value through reverse normalization; a prediction model is adopted, an outlier data identification method fused with multi-factor comprehensive analysis is adopted, an isolated forest algorithm is used for modeling, prediction residual errors and influence factors serve as input features, and the abnormal score of each data point is calculated; and based on the distribution of the abnormal scores, dynamically setting a threshold value by adopting a sliding window technology, and judging the data points exceeding the threshold value as outlier data.

The invention discloses a supported double perovskite photocatalytic material which is prepared by the following steps: putting copper nanoparticles and double perovskite Cs2NaBiCl6 into a water-absolute ethyl alcohol mixed solution, carrying out ultrasonic dispersion, heating the dispersion solution to 55-65 DEG C, carrying out cooling crystallization at a rate of 1-2 DEG C / min, completing the reaction when the temperature is reduced to 25 DEG C, carrying out solid-liquid separation on the reaction product, and washing and drying the solid, the Cu nanoparticle-loaded double-perovskite photocatalytic material is applied to photocatalytic reduction of CO2, the catalyst has the characteristics of high reduction catalysis efficiency and good selectivity, the performance is stable after repeated cyclic utilization, and the material disclosed by the invention is simple in preparation process, high in efficiency and suitable for large-scale production and market popularization and application.

The invention discloses a synthetic method of a water soluble ultraviolet light absorber BP-9. The method mainly comprises the following process steps: (1) carrying out methylation on the main raw materials of 2, 2', 4, 4'-tetrahydroxyl benzophenone, a transition metal salt catalyst and a mixed solvent which is prepared from dichloroethane and anhydrous ethanol in equal parts by weight to obtain 2, 2'-dihydroxyl-4, 4'-dimethoxyl benzophenone; (2) carrying out sulfonation reaction on the main raw materials of methylate, sulfamic acid and C1-C3 halohydrocarbon to obtain 2, 2'-dihydroxyl-4, 4'-dimethoxyl benzophenone-5, 5'-disulfonic acid; and (3) carrying out neutral reaction on the main raw materials of sulfonated product, inorganic base and ethanol water to finally obtain the BP-9 product. The synthetic method disclosed by the invention is few in reaction step, low in cost, high in product purity and stable in quality, and raw materials are easily available.

The invention relates to the technical field of audio processing and loudspeaker box control technologies, in particular to a loudspeaker box control method, system and device based on a built-in sound source and a storage medium, and the method comprises the steps: obtaining a selection instruction of a user, and calling a corresponding sound source file based on the selection instruction; receiving the called sound source file by using a built-in preset audio processing algorithm, and adjusting audio parameters of the sound source file; performing deep optimization combination on the processed audio parameters corresponding to the plurality of audio source files subjected to audio parameter adjustment by using an audio mixing algorithm so as to obtain a playing audio signal; and transmitting the playing audio signal to an integrated amplification circuit for power amplification, and enhancing the signal strength to drive a loudspeaker to work. The application has the effect of improving the audio quality and the user experience.

The invention relates to the technical field of catalysts for gas purification, in particular to a hierarchical pore metal-based catalytic adsorbent as well as a preparation method and application thereof. The invention discloses an integrated preparation method combining a sol-gel method and a template method, which comprises the following steps of: adding a template agent before forming gel, adding a proper amount of ammonia water in an aging process, accurately controlling other reaction conditions and a raw material ratio, and controlling a spatial confinement effect of the template method and a chemical reaction in a sol-gel process to obtain a sol-gel composite material. The morphology and size of the catalytic adsorbent can be accurately regulated and controlled, the hierarchical pore metal-based catalytic adsorbent with a microporous structure as a main material and mesopores and macropores as coexistence is finally prepared, the hierarchical pore structure provides rich adsorption sites and catalytic activity centers, and the hierarchical pore metal-based catalytic adsorbent has high adsorption capacity, high selectivity, good catalytic activity, good stability and easy regeneration.

The invention discloses a metal oxide modified high-entropy alloy catalyst and a preparation method and application thereof, the metal oxide modified high-entropy alloy catalyst is a supported Ni-Ga-Cu-In-Zn-Fe high-entropy alloy catalyst with a mixed metal oxide of X, Mg and Al as a carrier, the metal X is Zr or Ce, preferably Zr; the catalyst is prepared through a one-step precipitation method, a co-precipitation and impregnation method or a two-step precipitation method by utilizing the characteristic that main body laminate composition and elements of a layered hydroxide (LDHs) material are adjustable; the metal oxide modified high-entropy alloy catalyst has the characteristics of high catalyst metal particle dispersity, high catalytic activity, good selectivity and long service life due to the introduction of ZrO2 or CeO2, and can reach a higher CO2 conversion rate in a relatively low temperature interval, so that the CO2 conversion rate and the single-pass yield of methanol are remarkably improved, and the catalyst has the advantages of low cost and high efficiency. Therefore, the utilization efficiency of carbon resources is improved, and the method has a good industrial application prospect.

The invention discloses an automatic price inquiry and comparison supply management system based on the price and address of a supplier, particularly relates to the field of price inquiry and comparison supply management, and is used for solving the problems of geographic information lag and insufficient matching between the supplier and a purchasing unit in the existing traditional supply chain management. The method comprises the following steps: analyzing supplier addresses into standardized geographic information, carrying out clustering and region division on suppliers based on geographic distribution, retrieving a region where a purchasing unit is located, associating the region with the position of a related supplier, defining a purchasing mode, generating a multi-dimensional logistics network topological graph, and carrying out real-time optimization and evaluation on a transportation path. The supplier price trend is dynamically predicted based on historical price data and market fluctuation, a prediction model is adjusted in combination with real-time data, and an optimal supplier list is generated according to a preset purchase scene and a multi-dimensional constraint condition, so that accurate and efficient supply chain decision is realized.

The invention discloses a deep heat storage large-scale fracturing construction scheme design method based on a weak structure, and relates to the technical field of high-temperature geothermal resource exploration and development, and the method comprises the following steps: depicting and characterizing the weak structure of a deep heat storage large-scale fracturing stratum to obtain a comprehensive characterization large model; based on the comprehensive characterization large model, delineation and fracturing performance evaluation are conducted on a weak structural zone of the deep heat storage scale fractured stratum, and a delineated area is obtained; on the basis of the delineated area, the farthest disturbance range and distance of fracturing transformation of the weak structure of the deep heat storage scale fractured stratum are predicted; and determining a well spacing, designing a well location, deploying a well pattern and optimizing a fracturing layer section based on the fracturing property and the predicted farthest disturbance range and distance of thermal storage fracturing transformation, and completing the design of a deep thermal storage large-scale fracturing construction scheme. According to the method, through construction and analysis of the comprehensive characterization large model, the stratum weak structural zone suitable for fracturing can be accurately delineated, the farthest disturbance range and distance of fracturing transformation are predicted, and efficient mining is achieved.

The invention discloses a short-process preparation method and application of a vanadyl sulfate electrolyte based on vanadium slag valence regulation and control, and belongs to the technical field of vanadium electrolytes. The method comprises the following steps: leaching the vanadium slag by using sulfuric acid to obtain a leaching solution containing low-valence vanadium; extracting vanadium and chromium in the leachate by adopting an amine organic extraction agent; carrying out reverse extraction by using sulfuric acid; the method comprises the following steps of: firstly, extracting and separating vanadium by using a phosphoric acid extracting agent, and finally, carrying out reverse extraction by using sulfuric acid to obtain the vanadium electrolyte which can be used for constructing a VFB-5kW / 10kWh vanadium battery energy storage system. The traditional established thinking that pentavalent vanadium is extracted through vanadium slag oxidation to serve as a vanadium source to prepare the vanadium electrolyte is broken through, the novel technology for extracting the low-valence vanadium solution from the vanadium slag to directly prepare the vanadium electrolyte is provided, the short-process and green novel technology for preparing the vanadium electrolyte from the vanadium slag is constructed, the efficiency of the vanadium electrolyte preparation technology is improved, and the preparation cost is reduced.

The invention discloses a three-dimensional space velocity field measuring device and method suitable for a helicopter nozzle, and belongs to the technical field of aerodynamics test. The problems that in the prior art, a traditional three-dimensional velocity field measuring device and method are complex in arrangement and low in calculation efficiency are solved. A scanning type measuring device is built, a laser plane is calibrated, internal and external parameters of a double-exposure camera are calibrated, a checkerboard calibration plate is used for building a standard space plane grid, and a high-precision translation table is controlled by a computer to move to a designated position. Triggering each component through a digital pulse signal generator and synchronously controlling the two double-exposure cameras to collect particle images when the spray pipe sprays flow; and a three-dimensional velocity field based on the particle image is determined, and a three-dimensional space velocity field of jet flow of the jet pipe is obtained. According to the invention, high-precision and high-resolution velocity field data are effectively provided, accurate measurement of the three-dimensional velocity field of the helicopter nozzle is realized, and the method can be applied to measurement of the three-dimensional velocity field of the helicopter nozzle.

The invention provides a geological disaster risk area division method, system and product based on slope units, and the method comprises the steps: carrying out the slope unit division of initial geographic model data, and generating a plurality of slope units; performing terrain analysis on the initial geographic model data to generate a terrain evaluation factor group of each slope unit; performing multi-item geological disaster thematic evaluation on each slope unit by utilizing the comprehensive evaluation factor group of each slope unit, and generating risk grade data of each slope unit; wherein the comprehensive evaluation factor group at least comprises a terrain evaluation factor group; based on the risk level data of the slope unit and the pre-input administrative partition boundary map layer, the geological disaster risk partition map is generated, a standardized and normalized division process for improving the geological disaster risk area is provided, and the working efficiency and accuracy are improved.

The utility model provides a hydropower station unit internal environment anti-condensation simulation test device, which comprises a temperature and humidity control environment box and a temperature-controllable circulating water tank, a cooling-water machine refrigerates water in the temperature-controllable circulating water tank, and two ends of the temperature and humidity control environment box are provided with a water inlet and a water outlet which are communicated with a test bearing water pipe. The temperature-controllable circulating water tank is connected with the water inlet and the water outlet through a water supply pipeline, the water supply pipeline is provided with a water pump, the outer side of the test bearing water pipe is provided with different test areas, the different test areas are coated with different anti-condensation coating samples, an electronic balance is arranged in the temperature and humidity control environment box corresponding to the test areas, and the electronic balance is provided with a condensation collecting disc. And the temperature and humidity control environment box is placed on the vibration platform. The device can simulate the anti-condensation performance of anti-corrosion samples of different processes in different environments.

The invention discloses a hydraulic pump fault prediction method and system, and relates to the technical field of hydraulic system fault diagnosis and prediction.The hydraulic pump fault prediction method comprises the steps that a vibration sensor signal of a hydraulic pump is collected, and the vibration sensor signal is converted into time domain vibration data according to a preset sampling frequency; performing wavelet packet decomposition on the time domain vibration data to obtain energy coefficients of different frequency bands, and selecting the frequency bands corresponding to the first three maximum energy coefficients as characteristic frequency bands; extracting characteristic indexes in the characteristic frequency band, constructing a fault characteristic vector, training the fault characteristic vector, and establishing a hydraulic pump fault prediction model; and inputting the fault feature vector of a to-be-tested hydraulic pump into the hydraulic pump fault prediction model, and predicting the fault type of the hydraulic pump. According to the method, the fault type and degree of the hydraulic pump are accurately predicted, and the challenges of data imbalance and nonlinear feature extraction in hydraulic pump fault diagnosis are effectively solved, so that early prediction and early warning of the fault of the hydraulic pump are realized.

The invention discloses application of a magnetic nano composite material as an adsorbent in removal of organic dye in water, and belongs to the technical field of application of composite materials, the magnetic nano composite material (one of Fe3O4-coated TAPT-OMePDA or Fe3O4-coated TAPT-TFPDA) as the adsorbent adsorbs the organic dye in water, the adsorption capacity of Congo red (CR) reaches up to 1603.54 mg / g and 1968.83 mg / g, and the adsorption capacity of the magnetic nano composite material (one of Fe3O4-coated TAPT-OMePDA or Fe3O4-coated TAPT-TFPDA) as the adsorbent adsorbs the organic dye in water. The adsorption of the two adsorbents to the CR accords with a quasi-secondary kinetic model and a Langmuir isotherm model, and belongs to single-layer chemical adsorption. Compared with an adsorbent in the prior art, the Fe3O4 (at) TAPT-OMePDA and the Fe3O4 (at) TAPT-TFPDA have the advantages that the porosity is high, the adsorption efficiency is high, the selectivity is good, and the repeated utilization rate is good.

The invention provides a slope stability evaluation model construction method considering vegetation influence. The method comprises the following steps: determining vegetation classification; acquiring root morphology of different types of vegetation, and calculating root tensile strength and soil shear strength increment under the action of the root according to the root morphology; obtaining growth speeds of different types of vegetation, and calculating root enhancement factors, soil reinforcement efficiency and vegetation growth cycle influence factors according to the growth speeds; and constructing a slope stability evaluation model according to the root tensile strength, the soil shear strength increment under the action of the root, the root enhancement factor, the soil reinforcement efficiency and the vegetation growth cycle influence factor. By using the model, the slope stability is evaluated by considering the vegetation influence, so that optimization of vegetation selection and configuration is facilitated, the slope protection effect is improved, and the engineering cost is reduced; quantification and refinement of slope stability evaluation can be realized, and a reliable basis is provided for engineering design and construction.

The invention belongs to the field of environmental protection and pollutant treatment, and relates to a method for enriching and detecting microplastics in a surface water body. The lignin is grafted with amido and carboxyl through two-step reaction, firstly, carbon quantum dot active site powder with positive charges on the surface is prepared, the carbon quantum dot active site powder is cross-linked with the modified montmorillonite, and the carbon quantum dot active site microporous adsorbent is prepared, so that the prepared adsorbent has multiple surface functional groups and multiple and uniform active sites, and the adsorption efficiency is improved. The adsorption speed of the micro-plastics in the water body can be increased, the adsorption capacity of the micro-plastics in the water body is improved, and rapid enrichment and separation of the micro-plastics in the water body are realized. Based on the enrichment and separation method, the invention further provides a method for measuring the microplastics in the water environment. According to the invention, rapid filtration, enrichment and detection of micro-plastics in water are realized, the operation is simple and convenient, and the accuracy is high.

The invention discloses a drainage basin ecological safety monitoring method and system based on big data. The method comprises the steps of data acquisition, data preprocessing, drainage basin ecological environment monitoring, drainage basin ecological system monitoring, hyper-parameter optimization and drainage basin ecological comprehensive monitoring. The invention belongs to the technical field of ecological safety information processing, and particularly relates to a drainage basin ecological safety monitoring method and system based on big data, according to the scheme, ecological environment monitoring and ecological system monitoring are creatively and deeply fused, and the comprehensiveness and accuracy of drainage basin ecological safety monitoring are improved; adjacent domain similarity, a standard deviation adjustment distance and a distribution coefficient are introduced, a selection process of a clustering center is optimized, and the technical problem that a watershed ecosystem monitoring result is not accurate enough is solved. The algorithm for obtaining the optimal parameters of the monitoring model is improved by adopting the dynamic adaptation factors, the opposite individuals and the individual symbiotic update, the optimal parameter combination is obtained, the accuracy of the model output result is improved, and the drainage basin ecological environment monitoring result is more accurate.

According to the method, phosphomolybdic acid, copper chloride and ferric chloride serve as precursors, copper and iron-containing phosphomolybdic acid nano-enzyme (Cu, Fe-PMs) with peroxidase-like activity is synthesized through a microwave method, under the acidic condition, on one hand, the surface of Cu and Fe-PMs carries negative charges, high affinity is generated between Cu and Fe-PMs and a substrate TMB with positive charges, and on the other hand, the surface of Cu and Fe-PMs has negative charges; on the other hand, Cu / Fe / Mo three-metal redox couple accelerates the regeneration of Fe < 2 + > and plays an important role in the activity of peroxidase, and meanwhile, due to the introduction of sodium dehydroacetate, Cu and Fe in Cu and Fe-PMs and pyranoid ring and keto O in sodium dehydroacetate interact through coordinate bonds to cause electron interaction, so that the peroxidase-like activity of Cu and Fe-PMs is enhanced, and the peroxidase-like activity of Cu and Fe-PMs is improved. And the Fenton reaction is enhanced through transfer of electrons among the sodium dehydroacetate, the Cu and the Fe-PMs. When Cu and Fe-PMs oxidize TMB and H2O2, sodium dehydroacetate enhances the absorbance of the system, and on the basis, a novel colorimetric rapid detection method of sodium dehydroacetate is established.

The present disclosure relates to compounds, compositions and methods for treating diseases or conditions mediated by aberrant histone deacetylase 8 (HDAC8) activity. In some embodiments, the disclosed compounds comprise an HDAC8 targeting ligand TL moiety covalently linked to a degradation determinant moiety that recruits E3 ubiquitin ligase to HDAC8. In some embodiments, the degradation determinant can bind to an E3 ligase, which is a von Hippel-Lindau (VHL) tumor suppressor, and the E3 ligase can bind to an E3 ligase, which is a Von Hippel-Lindau (VHL) tumor suppressor.

The invention discloses a beneficiation method for efficiently recovering barite from heat treatment drilling waste. The beneficiation method comprises the following steps that (1) the drilling waste containing the barite is subjected to wet screening classification; (2) performing magnetic separation on the undersize product to obtain a magnetic product and a non-magnetic product; (3) carrying out primary roughing and primary concentration on the non-magnetic product to obtain a barite powder product 1; and (4) the roughing tailings are subjected to scavenging for three times, scavenged concentrates are combined and then subjected to fine selection for two times, and a barite powder product 2 is obtained. According to the method, barite in the heat treatment drilling waste is efficiently recycled by adopting a beneficiation method, two different grades of barite powder products are obtained and can serve as drilling fluid raw materials to be recycled, resource utilization of the waste is achieved, and meanwhile environmental hazards are reduced.

The present invention relates to a method for preparing a attapulgite / molecular sieve composite adsorbent, comprising the following steps: (1) using NaX molecular sieve powder as a raw material, adding purified attapulgite, grinding, adding an aluminum source for crystallization, filtering, washing to a pH of 7 to 8, and drying to obtain a attapulgite / molecular sieve composite adsorbent precursor; (2) exchanging the composite adsorbent precursor obtained in step (1) with metal cations, and then filtering, washing, drying, molding, and activating to obtain the composite adsorbent. The composite adsorbent has a simple preparation method, a large adsorption capacity, and good selectivity. It can effectively adsorb and separate liquid mixtures, and has broad application prospects in selectively adsorbing and separating p-xylene from C8 aromatic isomers. The present invention also relates to a attapulgite / molecular sieve composite adsorbent and its application in adsorbing and separating p-xylene in mixed xylene.

The invention belongs to the field of wearable sensors, and discloses preparation and application of a sweat ascorbic acid sensor which is simple in structure and low in cost and adopts silk-screen printing and a wood substrate. The sensor provided by the invention combines a screen-printed electrode and a hydrophilic wood substrate. In order to overcome the defects of hydrophobicity and high cost of the conventional sensor, the sensor is manufactured by adopting a silk-screen printing technology. The screen-printed carbon electrode has high flexibility and good conductivity, and the hydrophilic wood paper is used as a substrate and has high sweat collection, storage and transportation capabilities. The sensor has the characteristics of high sensitivity (0.032 [mu] A L [mu] mol <-1 >), high selectivity, low detection limit (10 [mu] A L [mu] mol <-1 >), wide linear range (10-1000 [mu] mol / L), good repeatability, good stability and the like. In general, the wearable sensor developed in this research shows huge potential, and is a promising and cost-effective strategy in the prognosis, diagnosis and treatment of scurvy.

The invention discloses a synthesis method of a 2 '-(trifluoromethyl)-4, 5-dihydro-spiro [furan-2, 3'-indoline] derivative, and belongs to the technical field of organic synthesis.The 2 '-(trifluoromethyl)-4, 5-dihydro-spiro [furan-2, 3'-indoline] derivative is obtained by synthesizing 2 '-(trifluoromethyl)-4, 5-dihydro-spiro [furan-2, 3'-indoline] in the presence of visible light, a photocatalyst and alkali. CF3Br and a 3-(3-hydroxypropyl) indole derivative are subjected to a free radical tandem cyclization reaction in an organic solvent to prepare the 3-(3-hydroxypropyl) indole derivative. According to the 2 '-(trifluoromethyl)-4, 5-dihydro-spiro [furan-2, 3'-indoline] derivative and the preparation method thereof, CF3Br is used as a trifluoromethyl source under photocatalysis for the first time, trifluoromethyl is directly introduced into an indoline ring of 4, 5-dihydro-spiro [furan-2, 3 '-indoline], the 2'-(trifluoromethyl)-4, 5-dihydro-spiro [furan-2, 3 '-indoline] derivative is obtained, and the compound has good activity and selectivity on cancer cells such as Huh-7, A549 and A549 / DDP.

The invention discloses a digital audio watermark processing method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: receiving a watermark adding instruction, and carrying out Fourier transform on original host voice to obtain an audio signal; identifying a watermark information adding bit in the audio signal through the audio watermark model, and embedding a watermark message in the watermark information adding bit; the interfering audio signal and the audio signal carrying the watermark message are combined. Receiving the message extraction signal, and separating an interference audio signal in the combined audio signal; a watermark information adding bit in the audio signal is identified, and a watermark message is extracted from the watermark information adding bit. The invention also relates to the technical field of block chains, and the host voice is stored on a block chain network. According to the method, the watermark information adding position is automatically identified through the audio watermark model, so that the watermark information is added and extracted, the dependence on expert knowledge is remarkably reduced, and the watermark processing speed and efficiency are improved.

The invention relates to the technical field of water treatment, and provides gel type imidazolyl anion exchange resin as well as a preparation method and application thereof. According to the method, the gel type styrene-divinyl benzene copolymer is taken as a matrix, and the adsorption selectivity of the gel type imidazolyl anion exchange resin on rhenium / technetium is regulated and controlled by grafting imidazole with alkyl side chains with different lengths, so that the removal rate of rhenium / technetium is increased. The gel type imidazolyl anion exchange resin provided by the invention has relatively high adsorption capacity on ReO4 <-> and TcO4 <->, high selectivity, wide applicable pH value and temperature range, strong acid and alkali resistance and irradiation stability, and wide application prospect.

The invention discloses a preparation method and application of a catalyst for preparing synthesis gas through methane dry reforming, and belongs to the technical field of preparation and application of a catalyst for methane dry reforming. The catalyst is composed of carriers (SiO2, Al2O3, MgO and the like), active metals (Ni, Co and the like), oxide assistants (CeO2, La2O3, ZrO2, MgO, CaO and the like) and alkali metal assistants (Na, K and the like). The oxide auxiliary agent is uniformly dispersed on the surface of the carrier in a nano island structure; the active metal component falls on the surface of the carrier modified by the oxide nano island in a nano particle form. The preparation method of the catalyst is simple, high conversion rates of methane and carbon dioxide, high hydrogen-carbon ratio (H2 / CO) and good catalytic stability can be achieved, in a 2000-hour long-period dry reforming reaction at 800 DEG C, the conversion rates of the carbon dioxide and the methane are up to about 96% and 92%, the hydrogen-carbon ratio is about 0.96, and obvious inactivation does not occur.