120results about How to "Conducive to load" patented technology

The invention discloses a cloud edge cooperative control method, which comprises the following steps: establishing a cloud edge cooperative architecture, collecting data by edge nodes, and selecting a corresponding data compression strategy to compress the data; generating an edge-cloud collaborative uploading data stream; the cooperative control layer executes adaptive load balancing based on a cloud-side node state, task characteristics and a network condition which are monitored in real time so as to realize task allocation and scheduling between the cloud and the side; the cloud receives the data stream transmitted by the edge node, decompresses and processes the compressed data according to the metadata information, completes the task and feeds back an execution result; a node performance prediction model is constructed by using system state monitoring information, a task allocation strategy and a resource allocation and data compression strategy are adjusted in real time according to a prediction result, and cloud-side collaborative optimization is realized. Efficient data transmission, flexible task scheduling and self-adaptive resource management are realized, and the performance of the system in a complex and changeable environment is comprehensively improved.

The invention provides a private domain traffic peak identification and route scheduling method and system based on time sequence prediction, and relates to the technical field of private domain traffic management, and the method comprises the steps: predicting traffic data and confidence through a multi-dimensional heterogeneous graph network and a causal reasoning mechanism, and generating a dynamic threshold based on empirical mode decomposition and a generalized extreme value distribution model, and predicting a peak value by combining a fuzzy inference device. And then, constructing a distributed collaborative early warning mechanism, and generating graded early warning signals and early warning grades according to the multi-dimensional early warning indexes and node consensus. And finally, constructing a multi-target routing optimization model, performing routing resource grouping based on the link reliability score, searching candidate paths by using multi-agent reinforcement learning, determining a distribution proportion according to early warning information and a peak prediction result, optimizing a path selection strategy in a peak time period, and scheduling private domain traffic to a selected path. According to the method, the private domain flow peak value can be effectively identified, the service quality is guaranteed through dynamic routing scheduling, and the user experience is improved.

The invention provides a distributed service intelligent master selection method and system based on double-engine cooperation, and relates to the technical field of intelligent master selection, and the method comprises the steps: collecting the processing capability index, the network throughput and the resource utilization rate of a service node to construct a performance data matrix, and generating an intelligent identification code based on a node scoring function and a physical clock value; nacos and Redis signals are monitored through a double-layer event monitor, the optimal incremental step length is determined according to the score sequence distribution trend, and a target score is generated to construct a dynamic priority sequence; and periodically selecting a main node and a preheating standby node, and when the main node fails, starting increment state synchronization based on Redis affairs after voting arbitration confirmation, so as to realize main and standby non-inductive switching. According to the method, the election accuracy of the main node and the switching reliability are improved, and the system interruption risk is reduced.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

The invention discloses a radiation refrigeration coating and a preparation method thereof. The radiation refrigeration coating comprises a first filler and a second filler, the mass ratio of the first filler to the second filler is (1-3): (1-5), and the first filler comprises the following components in percentage by weight: 50-70% of a polyurethane emulsion, 10-15% of a silane coupling agent, 8-10% of multi-mesoporous nano-silica and 5-8% of talcum powder; the second filler comprises the following components in percentage by weight: 60%-70% of polyethylene glycol, 10%-15% of a dispersing agent and 5%-8% of nano barium oxide; 5%-8% of tannic acid; 3%-5% of nano silver; the viscosity of the polyurethane emulsion ranges from 300 cps to 800 cps. The radiation refrigeration coating disclosed by the invention has the advantages that a refrigeration film has larger infrared radiation refrigeration capacity in an atmospheric window, better ultraviolet light absorption capacity and long service life.

The invention relates to the technical field of battery energy storage system evaluation, and relates to the technical field of battery energy storage, in particular to a method for balancing the service life and performance of a fuel cell, which comprises the following steps of: 1, acquiring multi-source data of the fuel cell, and applying a series of preset pulse current load sequences to the fuel cell, measuring response parameters output by the fuel cell in real time; 2, Fourier transform processing is carried out on the response parameters, and frequency domain signals of the response parameters are obtained; the performance and service life balance model is constructed based on the fusion feature vector containing the dynamic performance, the service life characteristic and the operation state of the fuel cell, the load distribution weight can be dynamically adjusted, the performance and the service life of the single fuel cell are kept balanced, and therefore the overall service life of the fuel cell pack is prolonged, and the reliability of the fuel cell pack is improved. And the influence on the performance of the whole system due to overload or too fast loss of the single fuel cell is avoided.

The invention provides modified aluminum oxide with a high hydroxyl density surface as well as a preparation method and application of the modified aluminum oxide. The isoelectric point regulator is added in the aluminum oxide preparation process, and corresponding surface treatment methods such as alkalization or acidification, irradiation and crystallization are combined, so that the hydroxyl group density on the surface of the formed aluminum oxide carrier can be greatly improved, and the active metal in the catalyst prepared based on the catalyst has the advantages of high dispersity and small particle size; and the utilization rate of active metal atoms can be greatly improved.

The invention discloses a door lock cooperative transmission adjustment method and system, and the method comprises the steps: enabling a gateway router to synchronize a binding relation between a current authorizer identifier and an equipment address among whole-network multicast routers through an enhanced PIM protocol according to a face recognition result of a multimedia authorization device for indoor personnel; according to a visitor face image collected by a door lock, sending the visitor face image to a door lock gateway in a multicast mode; dynamically determining to convert the multicast video stream into a unicast stream and forward the unicast stream to one or more multimedia authorization devices according to a visitor feature vector extracted from the multicast video stream by the door lock gateway; and synchronizing the association relationship between the visitor feature vector and the identifier of the authorizer in the whole network by enhancing IGMP and PIM protocols according to the identification result of the multimedia authorization equipment on the specific action of the authorizer. By utilizing the embodiment of the invention, intelligent transmission conversion from equipment connection to identity and intention driving can be realized, and accurate and efficient authorization collaboration and remarkable optimization of network resource load are achieved.

The invention is suitable for the technical field of biological medicine, and provides an excess drug treatment cell as well as a preparation method and application thereof. According to the invention, human umbilical cord mesenchymal stem cells (H.P.M) treated by excessive prednisone (PRED) are used as a carrier of PRED, and the excessive PRED treatment enables the human umbilical cord mesenchymal stem cells to lose proliferation ability and activity, but retains the ability of the human umbilical cord mesenchymal stem cells to target an inflammation site. The H.P.M can accurately deliver PRED to an inflammation part, so that pH-sensitive controlled release is realized, the treatment effect is improved, and the side effect of systemic application of PRED is greatly reduced. Due to the good drug loading capacity and release stability, the effectiveness and stability of drug delivery are further improved. The excess drug treatment method can be applied to other types of cells, and other drugs can be selected as the excess drug for treating the cells, so that a breakthrough is brought to treatment of gouty arthritis, and a new way is opened up for treatment of other diseases.

The invention belongs to the field of electrochemical sensors, and relates to an electrochemical sensor for high-sensitivity detection of carbendazim and a preparation method of the electrochemical sensor. The surface of a glassy carbon electrode (GCE) is modified with an LDMS-CCN-GCT nanocomposite material prepared from dendritic large-aperture mesoporous silica, conductive carbon black nanoparticles and graphitized carbon nanotubes, and a CCN-GCT-LDMS / GCE working electrode is formed. The preparation method comprises the following steps: firstly, uniformly dispersing CCN and GCT in an N, N-dimethylformamide solution through magnetic stirring in an ultrasonic environment, wherein the CCN and the GCT are equal in mass; then, adding LDMS into the solution, and carrying out ultrasonic dispersion to obtain a uniformly mixed CCN (at) GCT (at) LDMS suspension; and finally, dispensing the uniform suspension onto the surface of GCE, and drying under an infrared lamp to prepare the working electrode CCN (at) GCT (at) LDMS / GCE modified by the CCN (at) GCT (at) LDMS nano composite material. Based on the synergistic effect generated by LDMS and CCN-coated GCT, the CCN-coated GCT-coated LDMS / GCE sensor is high in sensitivity, the detection limit can reach 7.36 nM, and the CCN-coated GCT-coated LDMS / GCE sensor has excellent carbendazim sensing detection performance.

The invention relates to the technical field of biological medicine materials, and provides a preparation method and application of biological polysaccharide macromolecule polymerization coated PQQ, a polysaccharide macromolecule slow-release skeleton carrier used for coating in the method comprises konjac glucomannan and chitosan, the carrier can form a honeycomb net structure, PQQ can be embedded into the net structure, and the PQQ can be embedded into the honeycomb net structure. The coated PQQ has a slow release function in the intestinal environment, the three-dimensional honeycomb structure can be extended under the intestinal environment condition, the PQQ is slowly released, and more than 90% of the PQQ is released within 8 hours.

The invention relates to the technical field of aquaculture, in particular to a carboxyl fluorescent quantum dot loaded gene editing system and application thereof in aquatic animal gene editing. The invention provides a preparation method of a carboxyl fluorescent quantum dot loaded gene editing system, which comprises preparation of functionalized carboxyl fluorescent quantum dots and connection of the functionalized carboxyl fluorescent quantum dots and plasmid DNA to obtain the carboxyl fluorescent quantum dot loaded gene editing system, and the carboxyl fluorescent quantum dot loaded gene editing system can be subsequently used for aquatic animal fertilized egg gene editing or cell transfection. According to the method, safe and efficient egg shell digestive enzymes and nano materials are used for gene editing breeding of aquatic animals.

The embodiment of the invention provides a chip, a memory access method and device, a consistency management module and computer equipment, and the chip comprises an address transmission network which is used for routing a memory access address to the consistency management module; the network-on-chip is used for routing the memory access request of the CPU core to the consistency management module; the routing speed of the address transmission network is higher than that of the network-on-chip; the consistency management module is used for acquiring a predictive memory access request, and the predictive memory access request is generated based on the memory access address; transmitting the predictive memory access request to a memory control module, and obtaining predictive data prefetched from a memory by the memory control module based on the predictive memory access request; storing the prediction data and the corresponding memory access address; judging whether memory access data requested by the memory access request is prefetched or not; and if yes, taking the stored prediction data of the memory access address corresponding to the memory access request as memory access data, and feeding back the memory access data to the CPU core through the network-on-chip. According to the embodiment of the invention, the memory access delay of the CPU core can be reduced.

The invention discloses a mobile robot performance system popularity racking method based on an improved TabNet algorithm. Comprising the following steps: collecting historical order data; the historical order data is preprocessed; a TabNet algorithm is improved, and a popularity model based on the improved TabNet algorithm is constructed; training a popularity model based on an improved TabNet algorithm by using the preprocessed data set, calculating a popularity score of each SKU, and performing real-time data updating and dynamic recalculation of the popularity score; and according to the SKU popularity score obtained through calculation, goods are put on different goods shelf areas. The invention provides a novel mobile robot performance system popularity shelving method based on an improved TabNet algorithm, so that high-popularity SKUs can be effectively identified and shelved in a concentrated manner through dynamic feature selection and a popularity scoring mechanism, thereby improving the order line hit rate of an RMFS system and optimizing the sorting efficiency.

The invention discloses a heterogeneous end-side cloud cooperative computing method based on an elastic coupling mechanism. The method comprises the following steps: establishing a cross-domain joint elastic coupling model for distributed nodes of an end-side cloud system; a heterogeneous fusion resource pool is established among an end device, an edge computing node and a cloud center, and various available resources in an end-edge cloud system are comprehensively analyzed; and dynamically adjusting a task allocation strategy based on the elastic coupling model and a conjoint analysis result of various available resources, optimizing the load of the end-side cloud system, and generating an optimal load solution of the end-side cloud system. According to the method, a more intelligent and flexible resource scheduling and management mechanism is introduced in the field of cooperative computing, so that the maximization of resource utilization and the optimization of system performance are realized.

The invention relates to the technical field of gas separation materials, in particular to a preparation method of a high-selectivity functionalized ZIF-7-8 mixed matrix membrane. The preparation method comprises the following steps: taking pebax-1657 as a matrix material of a mixed matrix membrane, synthesizing a ZIF-7-8 filling material by virtue of a non-solvent induced crystallization (NSIC) method, then carrying out ionic liquid impregnation on ZIF-7-8, and finally preparing the high-performance mixed matrix membrane in a blending manner, so as to obtain the functional modified ZIF-7-8 mixed matrix membrane material. 1-butyl-3-methylimidazole bis (trifluoromethanesulfonyl) imide salt ([bmim] [Tf2N]) is adopted as an ionic liquid, ZIF-7-8 is subjected to functionalization treatment through a post-synthesis method, and the ionic liquid with high affinity to CO2 is loaded in a nanomaterial pore cage, so that the adsorption capacity of the material to CO2 is improved, and the performance of the membrane material is further optimized; therefore, the purpose of improving the CO2 separation performance of the mixed matrix membrane is achieved.

The invention belongs to the technical field of biological material surface modification, and discloses a medical titanium alloy surface multistage bionic composite coating and a preparation method thereof. According to the method, the medical titanium alloy is sequentially subjected to micro-arc oxidation and anodic oxidation, and the multi-stage bionic composite coating is obtained. The purpose of micro-arc oxidation is to prepare a micron porous coating, the purpose of anodic oxidation is to perform random breakdown on the surface of the micro-arc oxidation coating, a micron honeycomb-shaped pit array is further prepared, and nano-pore arrays are uniformly distributed in pits. The multi-stage bionic composite coating has the micro-nano bionic characteristic, and the biological function is further improved by preparing a series of depth-adjustable honeycomb-shaped pits and nano-pore arrays in the pits while the mechanical anchoring effect of a micron porous structure on new bone tissue is kept. Moreover, the structure has mechanical stability, so that the damage to the nano structure can be avoided when the nano structure is damaged by external force, and the structure and the function of the nano structure are still not lost.

The invention relates to the technical field of sodium sarcosine, in particular to slow-release sodium sarcosine and a preparation method thereof. The slow-release sodium sarcosine is prepared from the following raw materials in parts by weight: 70 to 80 parts of sodium sarcosine aqueous solution, 5 to 10 parts of acrylic acid, 5 to 10 parts of acrylamide, 3 to 5 parts of hydrotropy monomer A, 0.5 to 1 part of hydrotropy monomer B, 0.05 to 0.15 part of cross-linking agent and 0.05 to 0.15 part of initiator, and the hydrotropy monomer B is a mixture of diallyl dimethyl ammonium chloride and methacryloyloxyethyl trimethyl ammonium chloride. The sustained-release sodium sarcosinate disclosed by the invention has relatively high drug loading capacity and encapsulation efficiency, does not generate a burst release phenomenon, and can act for a relatively long time in vivo, so that the benefits of the sustained-release sodium sarcosinate are better exerted, the intake frequency is reduced, and the sustained-release sodium sarcosinate has a wide application prospect.

Provided are: a non-aqueous electrolyte secondary battery having excellent charging load characteristics; a method for manufacturing the same; a negative electrode that can constitute the non-aqueous electrolyte secondary battery; a method for manufacturing the same; and a method for inspecting a negative electrode to manufacture a non-aqueous electrolyte secondary battery. The present invention relates to Goals 7 and 12 of the SDGs. The negative electrode for a non-aqueous electrolyte secondary battery of the present invention includes a negative-electrode mixture layer containing a negative-electrode active material on one surface or both surfaces of a current collector, and (1) Rs / (ρv×d) falls within a specific range in accordance with the thickness of the negative-electrode mixture layer, or (2) the negative electrode satisfies a relationship: Rs ≤ 1.67d + b, where Rs is an interface resistance (Ωcm2) between the negative-electrode mixture layer and the current collector, pv is a volume resistivity (Ωcm) of the negative-electrode mixture layer, and d is the thickness (cm) of the negative-electrode mixture layer. The non-aqueous electrolyte secondary battery of the present invention includes a positive electrode, a negative electrode, a separator interposed between the positive electrode and the negative electrode, and a non-aqueous electrolyte, and the negative electrode is the negative electrode for a non-aqueous electrolyte secondary battery of the present invention.

The invention discloses a heat compensation type carbon dioxide mixed working medium energy storage system with a cascade heat storage function. The heat compensation type carbon dioxide mixed working medium energy storage system at least comprises a cascade heat storage subsystem, a carbon dioxide mixed working medium energy storage subsystem and a heat compensation subsystem. The cascade heat storage subsystem comprises a plurality of stages of heat storage units with different temperatures, each stage comprises a heat storage heat exchanger, a high-temperature heat storage medium storage tank and a low-temperature heat storage medium storage tank, and heat energy utilization is optimized. The carbon dioxide mixed working medium energy storage subsystem comprises a high-pressure storage tank, a low-pressure storage tank, a compressor unit and an expansion unit, and efficient compression in the energy storage stage and efficient expansion in the energy release stage are achieved. The heat compensation subsystem is arranged between the highest-temperature-stage heat storage unit and the expansion unit, heat compensation is conducted on the carbon dioxide mixed working medium through the photo-thermal subsystem and / or industrial waste heat, the temperature of the carbon dioxide mixed working medium is increased, and the circulation efficiency of the system is improved. In addition, the system further comprises a waste steam recovery subsystem, and the evaporation efficiency and the energy utilization efficiency are further improved through high-temperature waste steam exhausted by the turbine.

The invention relates to the technical field of drug carriers, and discloses a sodium alginate microsphere and a preparation method and application thereof.The preparation method comprises the steps that a suspension containing cellulose and sodium alginate is added into an oil phase to be emulsified, a water-in-oil emulsion is formed, then a cross-linking agent is stirred and mixed to be subjected to a cross-linking reaction with the water-in-oil emulsion, original microspheres are obtained, and the sodium alginate microsphere is prepared. Finally, the original microspheres are treated with etching liquid, and the sodium alginate microspheres are obtained. According to the water-in-oil emulsion, cellulose cannot be dissolved in water and oil, so that cellulose in the water-in-oil emulsion is dispersed in liquid drops in a suspended state; in the cross-linking reaction process, cellulose does not participate in cross-linking and is embedded into the interior and the outer surface of a sodium alginate skeleton formed by the cross-linking reaction; after the original microspheres are treated with an etching solution, cellulose is degraded to different degrees, so that pore channels are reserved in the microspheres, the finally prepared sodium alginate microspheres are rich in pore channels, large in specific surface area and small in density, and the drug loading rate of the sodium alginate microspheres is increased.

The invention provides a metallocene catalyst and a preparation method and application thereof. The method comprises the following steps: providing a first silicate aqueous solution with the pH value of 9-10 as a base solution; mixing the second silicate aqueous solution, inorganic acid and the base solution, and aging at 70-80 DEG C to obtain a first mixed solution; mixing and reacting the first mixed solution, an alkaline substance and organic alcohol to obtain a second mixed solution; mixing and reacting the second mixed solution, an alkaline substance and organic alcohol to obtain a hydrogel system; mixing the hydrogel system with inorganic acid to obtain acidified gel; performing first post-treatment to obtain a silica gel carrier; carrying out thermal activation on the silica gel carrier, and mixing and reacting with an aluminum alkyl solution to obtain MAO modified silica gel; and mixing the MAO modified silica gel with a metallocene compound, reacting, and carrying out second post-treatment to obtain the metallocene catalyst, wherein the alkaline substance comprises one or a combination of more than two of ammonia water, ammonium carbonate and ammonium bicarbonate. The metallocene catalyst has good catalytic activity.

The invention discloses a preparation method and application of a single-layer MXene composite material, and belongs to the technical field of preparation of electrochemical sensor composite materials. The preparation method comprises the following steps: preparing single-layer MXene, loading carbon-coated nickel-cobalt alloy on the single-layer MXene, modifying the composite material on the surface of an electrode by using a dispensing method, and tightly attaching aniline on the carbon-coated nickel-cobalt alloy-single-layer MXene by using an electropolymerization method to obtain the conductive polymerized aniline-carbon-coated nickel-cobalt alloy-single-layer MXene sensing material. The characteristics of high conductivity of aniline, excellent specific surface area of single-layer MXene, stability of carbon layer coating and the like are combined, so that the conductivity and the stability of the composite material are greatly improved, signals of a sensor are easier to detect, and the current of a modified electrode is improved by more than 1.8 times compared with that of a bare electrode.

The embodiment of the invention relates to the related technical field of vehicles, and discloses a torque distribution method, device and equipment of a distributed driving system, an automobile and a storage medium, a first shaft of the distributed driving system is driven by a single motor in a centralized mode, a second shaft is driven by double motors in a distributed mode, and the first shaft is a front shaft or a rear shaft; the method comprises the steps that torque distribution processing is carried out according to the expected yawing torque and the longitudinal target torque of the vehicle, and the first distribution torque and the second distribution torque of each driving motor are determined; and performing fusion processing on the first distribution torque and the second distribution torque of the driving motor, and determining a target torque of the driving motor. By means of the technical scheme, the problem that torque distribution in a distributed driving system is not reasonable enough in the prior art can be solved.

The invention provides an environment-friendly snow-melting agent and a preparation method thereof, and the snow-melting agent is mainly prepared from the following raw materials in parts by mass: 100-200 parts of natural zeolite, 1500-1600 parts of ammonium sulfate, 100-150 parts of a corrosion inhibitor, 200-300 parts of garden waste, 100-150 parts of corncob particles, 100-200 parts of coal gangue, 1-5 parts of pulverized coal, 1-4 parts of polyacrylamide, 1-3 parts of concentrated sulfuric acid and 1000-2000 parts of water. According to the snow-melting agent, ammonium sulfate is used as a main snow-melting substance, a solvent in a pore channel in zeolite is increased in a mode of modifying natural zeolite through ammonium sulfate, the adsorption capacity and the loading capacity of snow-melting components are improved, the snow-melting capacity is improved by combining ammonium sulfate, and meanwhile harm caused by chloride can be avoided; therefore, the environment-friendly snow-melting agent is prepared.

This invention discloses a chitosan-Chlamydomonas reinhardtii protein composite carrier, its preparation method, and its application. The composite carrier has a triple network structure, comprising: a three-dimensional network backbone formed by cross-linking chitosan and sodium tripolyphosphate, constituting the first network; a functional enhancing phase, including Chlamydomonas reinhardtii protein, which is embedded and anchored in the three-dimensional network backbone through a first physical interaction, constituting the second network, thereby forming a chitosan-Chlamydomonas reinhardtii protein complex with an interpenetrating network structure; and a structure-directing agent, including a hydrophobic active substance, which self-assembles and embeds into the hydrophobic microregions of the chitosan-Chlamydomonas reinhardtii protein complex through a second physical interaction, constituting the third network. The composite carrier provided by this invention is prepared using electrospinning technology, achieving high loading capacity and high encapsulation efficiency, constructing a multi-layered antioxidant defense network, and can serve as a highly efficient and stable multifunctional carrier for the preparation of functional food delivery materials.

The present invention discloses a method for preparing a quercetin-loaded tilapia protein isolate-hyaluronic acid composite emulsion, and belongs to the technical field of functional factor stabilization processing. The present invention first uses an alkali dissolution and acid precipitation method to extract tilapia protein isolate, and then uses a pH shift method to induce tilapia protein isolate and hyaluronic acid to form a hydrophilic complex. Quercetin of different masses is added to soybean oil in advance and heated in a 50°C water bath to aid dissolution, and then the aqueous phase and the oil phase are mixed and sheared and homogenized, and then homogenized using a high-pressure homogenizer to obtain a quercetin-loaded tilapia protein isolate-hyaluronic acid composite emulsion. The composite emulsion prepared by the present invention can increase the bioavailability of quercetin from 19.02% to 58.82%, while increasing the added value of tilapia protein isolate, which is of great significance for promoting the application of quercetin in the fields of food, medicine, etc.

The invention discloses a hymexazol-containing composition with an excellent sterilization effect and a preparation method, and relates to the technical field of agricultural bactericides, the composition comprises the following raw materials: modified graphene oxide loaded hymexazol, modified graphene oxide loaded metalaxyl, beta-oligomeric acid and a surfactant; the mass ratio of the modified graphene oxide loaded hymexazol to the modified graphene oxide loaded metalaxyl to the beta-oligomeric acid to the surfactant is (3-5): (1.5-2.5): (1-1.5): (0.8-1.2). The hymexazol composition provided by the invention has the advantages of excellent bactericidal effect, high utilization rate and small damage to the environment.

The invention relates to the technical field of neural network acceleration, and relates to a CPU-FPGA-oriented graph neural network training acceleration method and system. The method comprises the steps that a CPU stores complete graph feature data and distributes different feature data to storage modules of different FPGAs through data channels according to a load balancing algorithm; partitioning the GNN network model by the CPU, and matching a partitioned model operator with a corresponding FPGA (Field Programmable Gate Array); the CPU completes issuing and sampling of a partition model according to a sampler algorithm, and sends the partition model to the FPGA; reading feature data after the FPGA is started, completing a calculation task by a load execution module, and writing a result back to a CPU memory; the CPU completes data updating and weight updating; and resending the updated weight data to the corresponding FPGA, and carrying out iterative training. According to the invention, operation of the graph neural network on a CPU-FPGA platform is successfully realized, and the overall acceleration effect is excellent.

The application relates to the technical field of wastewater denitrification, and discloses a composite carrier as well as a preparation method and application thereof. The composite carrier comprises porous molybdenum disulfide, the porous structure of the molybdenum disulfide in-situ grows zirconium metal organic frameworks, and the surface of the molybdenum disulfide is loaded with graphene. The composite carrier can not only serve as a place for denitrification of microorganisms, but also can improve the denitrification efficiency of the microorganisms.