94results about How to "Reduce experiment cost" patented technology

The invention discloses a low-sodium myofibrillar protein flavor prediction method and a low-sodium myofibrillar protein flavor prediction device. The method comprises the following steps: firstly, constructing a protein-flavor interaction system containing myofibrillar protein, potassium chloride, kappa-carrageenan and representative aldehyde flavor compounds; then, by means of spectroscopy, rheometer combination, an electronic tongue and the like, protein conformational change, typical aldehyde molecule binding rate and taste features are represented in a multi-dimensional mode. And establishing a random forest prediction model, taking protein conformation parameters as input, and taking a flavor binding rate and effective taste intensity as output. The model can reveal cross correlation between protein conformations and functions and identify key conformation parameters that affect flavor. And in combination with quantification and prediction capabilities of the model, a conformation-flavor relationship can be systematically analyzed, a basis is provided for optimization of a low-sodium formula, flavor is enhanced while salty taste is increased and bitter taste is inhibited, and healthy and sustainable development of low-sodium meat products is promoted.

The invention provides a rock mineral micromechanical evolution characterization method based on a convolutional neural network. The rock mineral micromechanical evolution characterization method comprises the following steps: step 1, obtaining rock sample micromechanical properties through a nanoindentation experiment; 2, performing deconvolution statistical analysis by using a Gaussian mixture model, and obtaining mechanical and volume fractions of each phase through a nanoindentation experiment; step 3, utilizing a Mori-Tanaka scale upgrading method to understand a convolution result, and performing rock macromechanical property prediction in combination with a convolutional neural network; and step 4, performing precision checking calculation on an output result of the convolutional neural network model until the prediction precision meets a preset requirement. According to the method, the microscopic mechanical parameters of the rock sample are obtained through the grid nanoindentation, statistical analysis is carried out on the nanoindentation test result by utilizing a deconvolution method, the mechanical property of the macroscale of the rock is obtained in combination with machine learning and a scale upgrading model, and a bridge for connecting the macroscale and the microscale is established; the method can effectively solve the problem of inaccurate prediction of rock micromechanical parameters on the macroscale and the problem of mechanical property characterization caused by scale difference.

The invention relates to a method for machine learning aided design of a structural alloy for a fourth-generation thorium-based molten salt reactor, and belongs to the technical field of artificial intelligence auxiliary material design. The method comprises the steps that S1, an alloy component machine learning model for phase composition prediction is established, specifically, based on known alloy sample data, the sample data comprise alloy element content and corresponding phase composition information, and the machine learning model used for predicting alloy phase composition is established; s2, screening an initial alloy component space through phase composition constraint conditions; s3, secondary screening of alloy components based on thermodynamic simulation; s4, alloy sample preparation and solid solution homogenization treatment; s5, carrying out a mechanical property test; and S6, experimental result feedback and machine learning model closed-loop updating are carried out. According to the method, the artificial intelligence technology and the traditional alloy design theory are organically fused, an efficient and reliable new path is provided for research and development of key structural materials for the fourth-generation thorium-based molten salt reactor, and the important scientific research value and the engineering application prospect are achieved.

The application discloses a protein-small molecule binding structure prediction method and device, equipment and medium, relates to the technical field of protein-small molecule binding prediction, and includes: obtaining the first modeling graph structure and the second modeling graph structure of the protein block and the small molecule compound to be tested after modeling respectively; inputting the first modeling graph structure and the second modeling graph structure into a TANKBind model to output a predicted protein-small molecule complex through the TANKBind model; generating a first topology file and a second topology file corresponding to a protein structure file and a small molecule structure file of the protein-small molecule complex; performing molecular dynamics simulation by using a preset molecular dynamics simulation tool and a simulation file generated according to the first topology file and the second topology file to obtain a molecular dynamics simulation trajectory file; and analyzing the molecular dynamics simulation trajectory file, the first topology file and the second topology file to obtain simulation analysis results.

The invention provides a centrifugal collecting device. The centrifugal collecting device comprises a driving part and a driving part, the rotor assembly is connected with the driving piece; the liquid storage part is arranged on the rotor assembly, and the liquid storage part is provided with a liquid storage cavity; the flow guide assembly comprises a flexible flow guide pipe, and one end of the flexible flow guide pipe is connected with the liquid storage part and communicates with the liquid storage cavity; the flow adjusting part is connected with the rotor assembly, a slit is formed in the flow adjusting part, and under the condition that the flexible flow guide pipe is embedded into the slit, the flexible flow guide pipe deforms; the collection assembly comprises a treatment container, a filter part and a collection container, the filter part is arranged in the treatment container and divides the treatment container into a treatment chamber and a confluence chamber, the treatment chamber is communicated with the other end of the flexible flow guide pipe, and the confluence chamber is communicated with the collection container, that is, the effective stripping of the adsorbed secretions is realized; the dosage of a buffer solution is remarkably reduced, and the concentration of effective components in a collected solution is greatly improved, so that a detection result is closer to the content of real secretions in soil.

This utility model provides a slide-fitting and liquid-filling fixture, including a slide assembly and a clamping assembly. The slide assembly includes an upper slide, a lower slide, and a flexible pad. The flexible pad is disposed between the upper slide and the lower slide to form a flow channel between them. The upper slide has an inlet and an outlet, which are respectively connected to the flow channel. The clamping assembly includes an upper cover, a lower cover, and an elastic compression member. The elastic compression member is disposed on the upper cover. The upper slide, the flexible pad, and the lower slide are clamped between the elastic compression member and the lower cover in a top-to-bottom arrangement, effectively reducing reagent usage while ensuring sufficient contact between the reagent and the sample.

This invention provides a method and apparatus for detecting the reuse of centrifuge tubes in ultra-high-speed centrifuges, comprising the following steps: S1, pressurizing and filling a medium into a new centrifuge tube, and detecting the diameter deformation of the centrifuge tube online; S2, using the maximum pressure that the centrifuge tube can withstand to return to its initial diameter as the yield limit pressure value; S3, replacing the centrifuge tube to be reused, pressurizing and filling the centrifuge tube to be reused with a medium, controlling the reuse pressure value at 75%~95% of the yield limit pressure value; S4, detecting the diameter deformation of the centrifuge tube to be reused online; S5, selecting the centrifuge tube that can return to its initial diameter as the reuse centrifuge tube. This invention can detect centrifuge tubes and determine whether they can be safely reused, significantly reducing experimental costs. It can be used to detect whether replacement centrifuge tubes meet the application requirements of ultra-high-speed centrifuges. It prevents substandard centrifuge tubes from entering the ultra-high-speed centrifuge, causing equipment damage or even sample leakage.

The utility model provides a multipath liquid taking head. The multipath liquid taking head comprises a connecting part, a transition part and a liquid taking part, the connecting part is used for being connected with a pipette head of a pipette body, and the bottom of the connecting part is detachably connected with a transition part for preventing liquid from flowing back; the bottom of the transition part is detachably connected with a liquid suction head; the connecting part comprises a plurality of sleeves which are integrally formed and have different diameters, and is used for connecting the pipettes with different specifications and models; by designing the multi-diameter liquid taking head connecting part comprising a plurality of sleeves with different diameters, the technical scheme can be adapted to most specifications of pipettes on the market, and the universality and the flexibility of the liquid taking head are greatly improved; laboratory personnel do not need to purchase liquid taking heads of various specifications for different types of pipettes, so that the experiment cost and the management difficulty are reduced.

The application discloses an experimental testing device and a testing method suitable for high-temperature lead-bismuth erosion, and belongs to the technical field of nuclear energy experimental testing devices. The device comprises a variable frequency motor, a motor support, a main shaft, a stuffing box, a shaft seat, a flange cover, a tank body, a mounting base, a test piece disc and a medium rotation prevention device. The output shaft of the variable frequency motor penetrates through the top cover of the motor support, the upper end of the main shaft is connected with the output shaft of the variable frequency motor through an elastic column pin coupling, and the stuffing box and the shaft seat are sleeved on the outside of the main shaft. The lower part of the motor support is detachably connected with the shaft seat, the shaft seat is detachably connected with the top of the flange cover, the flange cover is detachably connected with the top of the tank body, and the tank body is welded on the mounting base. The lower end of the main shaft extends into the tank body, and three test piece discs are arranged at equal intervals in the tank body, and test pieces are detachably installed on the test piece discs. The medium rotation prevention device is embedded in the tank body. The top edge of the tank body is connected with a protective gas inlet and a protective gas outlet, and the bottom is provided with a lead-bismuth medium inlet and outlet.

The invention discloses a while-drilling seismic source energy and wave field measurement test device and a use method, and relates to the technical field of well drilling data experimental equipment.The while-drilling seismic source energy and wave field measurement test device comprises a supporting assembly, the supporting assembly comprises a shaft upper cover, a well mouth four-way joint and a shaft which are sequentially connected through flanges, and a well inner cavity is formed; the detection assembly comprises a rock sample box connected with the shaft and an impact force detector located below the rock sample box, a rock sample capable of sliding relative to the rock sample box is arranged in the rock sample box, a cushion block making contact with the rock sample is arranged at the bottom of the rock sample box, and the rock sample acts on the impact force detector through the cushion block. A plurality of ground wave detectors in contact with the rock sample are arranged in the rock sample box, the ground drilling assembly comprises a drill bit, the drill bit is used for impacting the rock sample, the problems that a lot of time needs to be spent on finding a proper well position and the cost is high when a field experiment is carried out in reality are solved, and by applying the device, the non-timeliness of the field experiment and the experiment cost are greatly reduced.

The application is a method for the influence of dislocation dipole defects in aluminum matrix on acoustic parameters, belonging to the technical field of discrete solution, and provides a new molecular dynamics simulation method for researching the changes of ultrasonic velocity, acoustic attenuation and acoustic nonlinear parameters based on two dislocation dipole structures, specifically, the types and quantities of dislocation dipoles in the aluminum matrix are controlled, the atomic scale acoustic simulation is carried out on the dislocation dipole models of different types and quantities by using the phase inversion technology, the cross correlation method is used to extract the sound velocity, the Hilbert transform method is used to extract the sound attenuation, and the FFT method is used to extract the acoustic nonlinear parameters for the four-phase signals, so as to realize the precise extraction of acoustic parameters. Based on the fitting relationship between the three acoustic parameters and the dislocation defects, the contribution of the dislocation defects to the acoustic parameters is determined, and the prediction from the acoustic parameters to the defect characteristics is realized.

The invention provides a method for determining the effective discharge specific capacity of a negative electrode active material in a full battery. The method comprises the following steps: testing to obtain the charge specific capacity C0 of the negative electrode active material in a half battery; the conversion coefficient is preset to be P, and the estimated specific discharge capacity C estimated 0 of the negative electrode active material in the whole battery is obtained; when the preset N / P value is less than 1, manufacturing a first total battery by using the positive pole piece and the negative pole piece; presetting a pre-estimated discharge specific capacity gradient sequence of the negative active material in the first total battery by taking the C pre-estimated 0 as a central value, and calculating a corresponding pre-estimated discharge specific capacity gradient sequence of the negative active material in the first total battery; taking the estimated discharge capacity in the estimated discharge capacity gradient sequence of the negative electrode active material in the first total battery as the charging cut-off capacity, and carrying out a full charge test on the first total battery; and determining the effective specific discharge capacity of the negative electrode active material in the total battery from the estimated specific discharge capacity of the negative electrode active material in the first total battery according to the metal precipitation condition of the negative electrode interface.

The invention discloses a circulating tumor cell physicochemical screen and application thereof. The circulating tumor cell physicochemical screen comprises a body, a reaction tank is arranged in the body, at least two liquid inlets are formed in one end of the reaction tank, a liquid outlet is formed in the other end of the reaction tank, a plurality of reaction areas are arranged between the liquid inlets and the liquid outlet, and a plurality of micro-columns are arranged in each reaction area; along the direction from the liquid inlet to the liquid outlet, the distance between the micro-columns in each reaction area is gradually reduced. The circulating tumor cells are sorted in a mode of combining physical blocking and chemical adsorption, the distance between the microcolumns in each reaction area is gradually reduced, screening of the CTC cells is facilitated, further observation and judgment are also facilitated, compatibility to various coloring agents is good, and the application range is wide.

This invention discloses a sample sorting device and method, belonging to the field of sample processing technology. In the sample sorting device, a loading / unloading mechanism moves the culture dishes between a storage station and a picking station; a shifting mechanism grips or releases the culture dishes and moves them between various stations; a positioning mechanism includes a lid-placement station and a placement station, the placement station for placing the culture dishes and clamping their bottom boxes, and the lid-placement station for placing the lids of the culture dishes; a detection mechanism for detecting the samples contained in the baskets within the culture dishes; and a sorting mechanism for moving the baskets from one culture dish to another. The sample sorting method, using the aforementioned sample sorting device, achieves automatic sample sorting through the coordinated operation of the loading / unloading mechanism, shifting mechanism, positioning mechanism, detection mechanism, and sorting mechanism, reducing labor intensity and experimental costs, improving experimental efficiency, and meeting the sorting needs of large quantities of samples.

The utility model provides a simulation battery module device, which is characterized by comprising pole lug fixing seats, an adjustable panel and a base, and is characterized in that the adjustable panel is arranged at the upper end of the base, a plurality of pole lug fixing seats are fixed on a fixing plate, and the fixing plate is connected with the adjustable panel. The simulation device is adopted to replace a real battery module, consumption of expensive battery materials is avoided, the device can be repeatedly used, and the cost of a single experiment is reduced by more than 90%. The base and the adjustable panel are connected through a plurality of groups of screws in a locking manner, the height adjustment in the vertical direction is supported, the size requirements of different types of battery modules are accurately matched, and the experiment compatibility is improved. The tab fixing seat adopts a modular design, tab pieces (such as copper tabs and aluminum tabs) of different specifications are fixed by adjusting screws, the replacement time is less than 1 minute, and verification requirements of various welding processes are met.

The embodiment of the application discloses an AI+physical hybrid evaluation method based on combination modeling and consistency scoring for short peptide screening. The method firstly constructs a target database based on a large language model, and prepares a short peptide candidate library from natural sources; then a variety of advanced structure prediction models are used to model the short peptide-target protein complex, generating multiple candidate structures; the prediction results are preliminarily screened through an inter-model consistency scoring mechanism; the high-confidence complexes are verified for binding stability through molecular dynamics simulation; finally, multiple indexes such as structure confidence, consistency score and simulation stability are fused, and the weight is optimized through a machine learning model to realize comprehensive evaluation. Experiments show that the method can significantly improve the success rate of screening of potential active short peptides, and the accuracy on an independent test set is improved by about 5% compared with a single model, and has the advantages of multi-model complementation, high prediction reliability and reliable physical verification, and can be widely applied in the fields of modernization of traditional Chinese medicine, development of functional food and research and development of short peptide drugs.

The invention discloses a GAN-based high-remanence neodymium-iron-boron component and process optimization method, and relates to the field of high-remanence magnetic material design, and the method comprises the steps: obtaining the input characteristics and target characteristics of a sintered neodymium-iron-boron magnet; constructing a generative adversarial network, introducing a physical constraint term into a generator loss function of the generative adversarial network, carrying out data expansion on the high residual magnetism subset by using the trained generative adversarial network, and carrying out parallel training on a deep learning model and a traditional machine learning model based on the expanded data and the original data to form a hybrid prediction model; and inputting the target magnetic performance into the hybrid prediction model, and performing reverse prediction to obtain a corresponding magnet component and sintering process parameter combination. According to the method, the adversarial network introducing the physical constraint term is utilized to expand the high residual magnetism data, and the multi-dimensional feature analysis and the mixed model training are combined, so that the precise matching of the magnet component-process-magnetic performance is realized, the design accuracy is improved, the research and development period is shortened, and the experiment cost is reduced.

The invention discloses a differential dynamic microscopic image processing method based on a root-mean-square error. The differential dynamic microscopic image processing method comprises the following steps: a sequence image acquisition step: acquiring a time sequence microscopic image; a sequence image processing step: obtaining a difference image data set; performing one-dimensional Fourier transform in two directions on the differential image data set in sequence to obtain two-dimensional transform result data, and calculating to obtain Fourier amplitude spectrum image data; an obtained data processing step: carrying out dimension reduction processing on the Fourier amplitude spectrum image data; introducing structure function fitting, calculating a root-mean-square error between a fitting curve of the data after dimension reduction processing and the Fourier amplitude spectrum image data, and selecting a data truncation point according to the root-mean-square error; and an intermediate scattering function is introduced, and dynamic information of Brown particles is obtained based on the relationship between the data after selection of the truncation point and the diffusion coefficient. According to the method, the data truncation point is determined through the root-mean-square error, so that the processing time is remarkably shortened while the measurement precision is ensured.

The application discloses a method for predicting specific surface area and aromatic compound adsorption capacity of biochar. First, the experimental data set of biochar is obtained, and complete biochar adsorption data and complete pyrolysis experimental data of biochar are obtained through data processing; the complete data is substituted into a machine learning algorithm to model, a prediction model of different research targets is obtained, and performance evaluation and model explainability analysis are performed on the model; a to-be-predicted database is established according to the analysis purpose, the to-be-predicted database is substituted into the prediction model of different research targets, and prediction data is obtained. The application proposes a data model of the specific surface area of biochar material and the maximum adsorption capacity of biochar to aromatic compounds, which greatly saves the trial and error cost of experiments.

The utility model discloses a kind of automobile lamp illuminance detection control systems, comprising: signal interface, host computer, controller, driver, servo motor, executive component and illuminance sensor;Signal interface is used to receive the detection position of lamp;Signal interface is electrically connected with host computer, for sending detection position to host computer;Host computer is electrically connected with controller, to make controller drive driver according to detection position;Driver is used to drive servo motor to work;Servo motor is used to move lamp to detection position by executive component;Illuminance sensor and lamp form setting position, for obtaining the illuminance value of lamp;Illuminance sensor is communicatively connected with host computer, for sending illuminance value to host computer.The technical scheme provided by the utility model is to provide a kind of lamp illuminance detection equipment convenient to operate.

The invention relates to the technical field of collagen preparation, and discloses a method for extracting collagen from jellyfish by using a salt method, which comprises the following preparation steps: 1, sample treatment; step 2, homogenizing; 3, performing ultrasonic treatment; step 4, extracting; (5) centrifuging; step 6, performing ultrafiltration; and 7, freezing and freeze-drying. According to the method, collagen prepared from jellyfish is dissolved in 0.1 mol / L, 0.2 mol / L, 0.5 mol / L, 1.0 mol / L, 1.5 mol / L and 2.0 mol / L sodium chloride, sodium acetate, sodium citrate and phosphate solutions respectively, an aqueous solution serves as blank control, the optimal salt solution type and concentration of the jellyfish collagen are screened out, results show that the solubility of the jellyfish collagen in the 0.1 mol / L-0. 2 mol / L sodium chloride solution is the maximum, and on the basis of the conclusion, the optimal salt solution type and concentration of the jellyfish collagen can be obtained. And extracting and purifying by combining ultrasonic extraction and ultrafiltration to obtain the collagen. According to the method provided by the invention, the extraction time can be shortened, the cost is saved, the introduction of impure protein is reduced, and the influence on the complete structure of collagen is reduced.

This utility model discloses a cell culture dish shaking device, relating to the field of cell culture equipment technology. The utility model includes a housing with a tray on top. A locking mechanism is movably connected to the top of the tray, and a shaking mechanism is fixedly connected to the inner cavity of the housing. The locking mechanism of this utility model employs a design of magnetic locking blocks engaging with slots and magnetic adsorption. When replacing the expansion plate, the experimenter only needs to align the magnetic locking block of the expansion plate with the slot on the tray, and installation can be quickly completed using magnetic force, without the need for any tools. Disassembly only requires applying an external force slightly greater than the magnetic force to separate the expansion plate from the tray, significantly saving experimental preparation and cleaning time and improving experimental efficiency. Furthermore, by replacing expansion plates of different specifications and shapes, it can adapt to cell culture dishes of different sizes, as well as diverse experimental containers such as flasks and deep-well plates, greatly enhancing the adaptability of the device to different experimental needs.

This invention belongs to the field of sheep molecular marker screening and preparation technology, and relates to a molecular marker related to sheep feed conversion ratio and its application. The molecular marker uses primers designed based on the FABP7 gene sequence. DNA is extracted from sheep blood, and through PCR amplification, DNA sequencing, and sequence analysis, an A / G polymorphism site is found at position 255 of the amplified fragment. Further analysis using AQP... TM Primers were used to detect polymorphic loci in 821 Hu sheep, and a least-squares model was established. Association analysis between genotype and feed conversion ratio was performed, ultimately confirming that the FABP7 gene fragment amplified in this invention can serve as a molecular marker associated with sheep feed conversion ratio. The molecular marker of this invention can be used to breed new feed-saving, high-quality meat sheep breeds, providing genetic engineering methods for the genetic improvement of sheep feed conversion ratio, and has significant practical application value.

The invention provides a downhole tool function test bench and a test method. The downhole tool function test bench comprises a simulation drill rod and a simulation sleeve. The simulation drill rod comprises an inlet end cover, an inlet section drill rod, a downhole tool, a plug-in drill rod and an outlet end cover, the simulation casing pipe comprises a first casing pipe tee joint, a long casing pipe, a short casing pipe and a second casing pipe tee joint, and the inlet section drill rod, the downhole tool and the plug-in drill rod are located in the simulation casing pipe; the inlet end cover is connected with a drill rod flowmeter and a pressure sensor, and the outlet end cover is connected with a drill rod flowmeter and a pressure sensor; the drill rod flowmeter of the outlet end cover is connected with a connecting pipe, the connecting pipe is connected with a pressure regulating valve, and the pressure regulating valve is connected with a first sleeve tee joint; pressure sensors are arranged on the long sleeve, the short sleeve, the first sleeve three-way adapter and the second sleeve three-way adapter; and the first sleeve tee joint is connected with a pressure regulating valve. The device and the method have the beneficial effects that the downhole tool can be tested with different pressures, displacements, flow states, densities and viscosities.

The invention provides a method for training the visual clue-dependent positioning reward capability of animals by using an animal behavior training and testing system, and the system realizes that one set of system covers multiple types of experiments through the opening and closing logic of an access door of an adjusting arm, the reward region reward putting rule and the free conversion of visual clues. A visual clue-reward association learning scene is constructed, and animals are guided to establish memory association between clues and reward positions. A three-stage visual clue navigation and memory ability testing method is established, the memory retention ability associated with clue rewards is evaluated in the association stage, the spatial memory ability is independently evaluated in the blank stage, and the regulation and control mechanism of visual clues on animal spatial memory is analyzed in the non-association stage.

The application provides a bridge component anti-icing performance test method and equipment, and the system realizes multivariate simulation test on the bridge cable icing process through integration of an adjustable angle support, a test piece refrigeration bin, an ice water control module and an automatic spraying module. The method comprises the following steps: recording initial parameters of the test piece, establishing a simulated freezing rain environment, performing a cyclic spraying test, measuring icing state parameters, and calculating and evaluating a comprehensive anti-icing index based on an equivalent icing amount, an anti-icing delay coefficient and an environmental correction factor. The application can solve the technical problems of low test efficiency, high cost and lack of evaluation method in the prior art.

The invention provides a remaining oil utilization condition optimization method based on a GNN-GAN-DNN fusion algorithm, and belongs to the technical field of crossing of oil and gas field development engineering and machine learning, and the method comprises the steps: collecting reservoir data, carrying out preprocessing fusion to construct a sample set, judging the remaining oil utilization potential through GNN, carrying out CAD modeling, carrying out COMSOL numerical simulation, training GAN through simulated data to generate virtual data, and carrying out optimization on the remaining oil utilization condition. And the DNN preferentially selects candidate conditions, and finally, the candidate conditions are verified by using COMSOL. According to the remaining oil utilization condition optimization method based on the GNN-GAN-DNN fusion algorithm, the technical problems that in existing remaining oil utilization condition screening, the physical experiment cost is high, the numerical simulation efficiency is low, data samples are scarce, the optimal solution coverage is incomplete, and the screening result reliability is insufficient are solved.

The invention relates to a manufacturing method of a sample grinding clamp for a phase change instrument. The manufacturing method comprises the following steps: 1) manufacturing an embedded positioning plate; 2) manufacturing a to-be-inlaid body; (3) placing a to-be-inlaid body on a mold base, and placing a mold on the periphery of the to-be-inlaid body; 4) adding the inlay powder into the mold; (5) the powder adding and pressurizing processes are repeated, and the filling height of the inlaid powder reaches h; (6) the filling height of the inlaid powder reaches 1.5 h; (7) the filling height of the inlaid powder exceeds 2 h; 8) placing a mold cover on the top of the mold; (9) pressurizing, heating and keeping for a period of time to obtain an embedded block; 10) cooling the mold and removing the pressure; and 11) taking out the inlaying block and corroding to obtain the sample grinding fixture composed of the fixture body and the fixture cover.The sample grinding fixture is manufactured by adopting an inlaying method, the manufacturing process is simple, and the sample grinding fixture has the advantages of being high in positioning precision and convenient to use, can be repeatedly used, and is beneficial to improving the experiment efficiency and reducing the experiment cost.

The invention discloses an array device for simultaneous reaction of a large batch of quartz tubes, belongs to the technical field of vacuumizing sealing tube reaction equipment, and solves the problems of limited quartz tube reaction quantity, low efficiency, high energy consumption, poor safety and easiness in damaging a reaction furnace in the prior art. The device comprises a box body made of a high-temperature long-acting use material, a top cover, and a thermal insulation layer and a thermal insulation array layer which are laid in sequence, the corners of the box body are round corners, the top cover sinks and extends to form a closed space with the box body, and the heat preservation array layer is provided with array through holes matched with the quartz tubes, so that the quartz tubes and reactants can be completely coated, and the independent reaction of the large-batch quartz tubes is realized. The device is provided with a vertical structure and a transverse structure, and the transverse device is matched with a buckle structure, so that the array can be prevented from sliding off and fragments can be prevented from splashing. The device can realize synchronous reaction of a large batch of quartz tubes, is high in experiment efficiency, low in energy consumption, stable in heat preservation, good in safety, high in practicability and suitable for various high-temperature closed quartz tube reaction scenes, and each part can be flexibly adjusted as required.

The invention provides a mixed library paired read genome type detection method and a related product. The specific embodiment of the method comprises the following steps: executing the following feature extraction operation on at least one read of a to-be-detected paired read: for each candidate cytosine site in the read, extracting the candidate cytosine site in the to-be-detected paired read, determining whether the candidate cytosine site is a non-CG site or not according to the dinucleotide context where the candidate cytosine site is located, counting the number of all candidate cytosine sites which are judged to be non-CG sites in the read, and determining the number of characteristic basic groups of the read; and generating a feature parameter set of the read based on the number of feature bases of the read. According to the method, data source detection is performed on the to-be-detected paired read segments on the basis of the feature parameter set of at least one read segment in the to-be-detected paired read segments, so that the analysis efficiency of the mixed sequencing data is improved while the experiment cost is reduced and the sample consumption is reduced.