207results about How to "Improve selection efficiency" patented technology

The invention relates to the technical field of fermentation control, in particular to an intelligent optimization control system of an aroma-enhancing compound leavening agent, which comprises a strain culture selection module, a fermentation process monitoring module, an environment optimization adjustment module and a fermentation effect evaluation module. According to the method, accurate analysis and optimization of microbial reaction in the fermentation process are realized, the selection efficiency of the strain culture combination is improved, the fermentation process can be carried out under the optimal condition, the efficiency of biological reaction is remarkably improved, potential risks and behavior abnormalities can be recognized in time through analysis of time sequence data, and the safety of the fermentation process is improved. The fermentation control process is optimized by dynamically adjusting key parameters, environmental parameters are adjusted through a nonlinear regression model and monitored in real time, the environmental stability is enhanced, it is ensured that the fermentation process is continuous and efficient, data of the whole process are comprehensively analyzed, the fermentation effect is accurately evaluated, multiple performance indexes are quantified, and the quality of a leavening agent is improved.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the testis size character of Hu sheep as well as a screening method and application of the SNP molecular marker, and belongs to the fields of genetic breeding and molecular biology. The marker is located in an intron region of a Hu sheep chromosome 3 LRRIQ1 gene and is remarkably related to the Hu sheep testis size character, and the accuracy and reliability of the SNP molecular marker are ensured through a scientific and rigorous screening method; according to the marker, Hu sheep individuals related to testis size characters can be rapidly and accurately screened out, the breeding efficiency and accuracy are improved, the breeding process is accelerated, the breeding cost is reduced, and the economic benefits are improved; the genetic diversity is protected, the accuracy of seminal fluid quality evaluation is improved, a powerful tool is provided for Hu sheep breeding work, and important basic data is also provided for researching a genetic mechanism of testis development and functions; the method can also be used as an auxiliary diagnosis tool to assist in identifying potential genetic defects or disease risks and promote progress and development of the breeding technology.

The invention relates to the technical field of gene engineering, and discloses a KASP marker related to thousand seed weight of wheat and application of the KASP marker. The SNP locus is located at the 33397938bp position of the wheat 1A chromosome, and the polymorphism is C / T. Through phenotypic difference and exon capture analysis, the SNP site closely related to the thousand seed weight is determined, and a specific KASP primer combination is designed, so that rapid and accurate identification of the wheat thousand seed weight is realized. The application of the technology has significant significance in accelerating high-yield breeding of wheat. According to the method, the selection efficiency is improved, the breeding period is shortened, and wheat varieties with ideal thousand seed weight can be quickly identified and cultivated. By using the KASP primer combination, an effective tool is provided for molecular marker-assisted selection of wheat yield-related traits, and the overall yield and quality of crops can be improved.

The invention belongs to the field of pepper breeding and molecular biology, and discloses a KASP molecular marker closely linked with a pepper fruit color gene CaCHL1, the gene of pepper zunla-1 is used as a reference gene, and the single nucleotide polymorphism at the 13072545th basic group on a pepper chromosome 5 is subjected to basic group G-C replacement. The invention further discloses a primer and a kit for identifying the KASP molecular marker closely linked with the pepper fruit color gene CaCHL1 and application of the primer and the kit in identifying pepper fruit color types or molecular assisted breeding. The screened KASP molecular marker can be directly used for identifying the pepper fruit color, then auxiliary breeding is carried out by depending on the molecular marker, the problems that conventional breeding is long in period and prone to being influenced by the environment can be effectively solved, and the KASP molecular marker has important significance in pepper fruit color breeding practice and research on fruit color change and regulation and control mechanisms.

The invention belongs to the technical field of crop molecular markers, and particularly discloses a molecular marker related to the waterlogging tolerance of brassica napus and application of the molecular marker. According to the invention, a 1.2 Kb transposon insertion and a 2.6 Kb transposon insertion are identified by utilizing GWAS (Good White Attenual Sequence) and are positioned in a promoter region of the Bna.C08. GUN4 gene, and the rape containing the two transposon insertion has high waterlogging resistance. The molecular marker is used for auxiliary selection of oilseed rape with strong waterlogging resistance, whether the oilseed rape germplasm is waterlogging-resistant oilseed rape germplasm can be predicted only by detecting the characteristic band of the molecular marker, the identification method is simple and feasible, the selection efficiency is high, and the molecular marker has huge application potential in the field of oilseed rape waterlogging resistance improvement breeding.

The invention relates to the technical field of soil detection, and discloses a soil property quantitative analysis method of a spectrum-driven and greedy optimization integrated model, which comprises the following steps: preprocessing data; defining a basic model; selecting a greedy optimization model; integrating learning models; evaluating model performance; according to the method, the optimal model combination is selected through the greedy optimization method, the advantages of multiple models are integrated, and the accuracy of soil property prediction is improved. The greedy algorithm is simple and efficient, model selection and integration can be completed in a short time, and the method is suitable for processing of large-scale data sets. The method does not depend on a specific model or data set, and can be expanded and applied to prediction tasks in other fields.

The invention discloses a hydrodynamic model system based on an MIKE 21FM model and an automatic parameter judging, setting, selecting and testing method, and belongs to the technical field of hydrodynamic simulation. In order to solve the problems that in the prior art, MIKE 21FM model parameters are complex to set, difficult to select and tedious in verification process, an automatic parameter judging and setting system is constructed; the system can automatically judge and set model parameters according to model characteristics and hydrological conditions of a research area, and meanwhile, automatically select proper parameters and verify and check the parameters, so that the rationality and reliability of the parameters are ensured. By means of the method, the efficiency and accuracy of MIKE 21FM model parameter setting can be remarkably improved, and powerful support is provided for hydrodynamic simulation; in addition, the method is also combined with a machine learning technology to further optimize a parameter selection process and improve a simulation effect; the method is widely applied to hydrodynamic simulation of rivers, lakes, offshore water areas and the like, and has remarkable practical application value.

The invention discloses a heterogeneous computing system task processing method, system and product based on energy consumption, and relates to the technical field of computers. The pre-selected heterogeneous computing power devices are determined according to the task demand parameters of the current training task, and the number of the pre-selected heterogeneous computing power devices is determined on the premise that it is guaranteed that the current training task can be smoothly completed in the execution process. And selecting pre-selected storage devices as many as the pre-selected heterogeneous computing power devices, and ensuring that the pre-selected heterogeneous computing power devices and the pre-selected storage devices are in one-to-one correspondence. The final energy consumption is determined based on each combination relationship and energy consumption between each pre-selected heterogeneous computing power device and each pre-stored device, and an optimization processing mode is determined for different combination relationships between each pre-selected heterogeneous computing power device and each pre-stored device by using energy consumption characteristics of energy consumption optimization processing. The matching degree between each preselected heterogeneous computing power device and each preselected storage device is improved, and the energy consumption between each preselected heterogeneous computing power device and each preselected storage device is reduced.

The embodiment of the invention provides a time range selection method and system, electronic equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps of displaying a time axis of a corresponding time interval in a time selection area in response to a fast selection instruction of a front end, then determining starting time in response to a first operation instruction of a first sliding block on the time axis, and updating a first pixel position of the first sliding block on the time axis; and in response to a second operation instruction for a second sliding block on the time axis, determining end time, updating a second pixel position of the second sliding block on the time axis, and determining a target time range according to the starting time and the end time. The time range selection method and device can simplify the interaction mode of time range selection, improve the time range selection efficiency and improve the user experience.

The invention discloses a corn seed fine selection device and method, and belongs to the technical field of screening equipment, the corn seed fine selection device comprises a supporting frame, a swing seat, a screen mesh assembly and an adjusting assembly, the supporting frame is located above the swing seat, and the screen mesh assembly is located in the supporting frame; the screen assembly sequentially comprises a first screen tray, a second screen tray, a third screen tray and a bottom tray from top to bottom, the first screen tray, the second screen tray and the third screen tray are connected in an inserted mode to form screen holes with different hole diameters, and rotating shafts and discharging pipes are arranged on the left sides and the right sides of the first screen tray, the second screen tray, the third screen tray and the bottom tray correspondingly. The second sieve tray, the third sieve tray and the base plate are clamped by an upper group of adjusting nuts and a lower group of adjusting nuts and then move up and down along the direction of the screw rod; and the second sieve tray and the third sieve tray are turned over through the rotating shaft and the discharging pipe. According to different varieties of corn seeds, the screen mesh assemblies are combined to form corresponding screen holes, the screening efficiency is improved, and meanwhile the screen mesh assemblies can be adjusted to form multi-stage screening of multiple screen trays.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to lactation traits of buffalo and application of the SNP molecular marker, the SNP molecular marker is located at the 51st basic group of Chr1166691407, the SNP molecular marker is G or T, and the nucleotide sequence of the Chr1166691407 is shown as SEQ ID NO.1. The invention further discloses a preparation method of the SNP molecular marker related to the lactation traits of buffalo and application of the SNP molecular marker related to the lactation traits of buffalo. The SNP molecular marker which is most related to the peak milk yield of the buffalo is obtained by means of DNA extraction and sequencing, genome comparison, whole genome association analysis and the like, and the peak milk yield of the GG type buffalo is superior to that of buffalo with other genotypes by researching the remarkable association between the genotype of the SNP molecular marker and the peak milk yield of the buffalo; the method is applied to auxiliary breeding of buffalo strains or varieties with the peak milk yield characteristic, so that the breeding period is shortened, the breeding efficiency is improved, and the buffalo produced by the bred buffalo with the peak milk yield characteristic can be greatly improved.

The invention belongs to the technical field of molecular biology, and particularly relates to a cassava plant height SNP molecular marker, a KASP primer group and application of the cassava plant height SNP molecular marker and the KASP primer group. According to the cassava plant height SNP molecular marker, the allelic variation basic group of the SNP molecular marker site is C / T, and the allelic variation basic group is located at the 3091721 site of a cassava genome 6 # chromosome. The SNP molecular marker is remarkably related to the cassava plant height character, in practical application, the cassava plant height phenotype can be subjected to early-stage auxiliary prediction and identification only by utilizing the KASP primer group to carry out PCR amplification on cassava germplasm leaf sample DNA and detecting a fluorescence signal of the cassava germplasm leaf sample DNA, operation is easy and convenient, cost is low, selection efficiency is high, and the SNP molecular marker can be used for early-stage auxiliary prediction and identification of the cassava germplasm plant height phenotype. Target single plants or a large number of offspring with potential excellent quality can be efficiently screened, the cassava breeding period is shortened, and the breeding efficiency is improved.

The invention discloses a molecular marker closely linked with the character of the oil content of peanuts, a primer pair for detecting the molecular marker and application, and belongs to the technical field of molecular marker assisted breeding. The molecular marker disclosed by the invention is an InDel marker Arahy35099320, and the molecular marker is a molecular marker The nucleotide sequence of the Arahy35099320 molecular marker is as shown in SEQ ID NO: 1 (Sequence Identity Number 1). The method for predicting the oil content of the peanuts by detecting the molecular marker has the advantages of rapidness, simplicity, convenience and high selection efficiency, can be directly realized through PCR amplification and electrophoresis, and has important application value in predicting the oil content of the peanuts and breeding high-oil-content peanuts.

The invention belongs to the technical field of wheat disease resistance breeding, and discloses a molecular marker for detecting wheat powdery mildew resistance QTL and application of the molecular marker. On the basis of a three-year group powdery mildew adult-plant stage resistance identification result, the powdery mildew resistance QTL is detected through a complete interval mapping method (ICIM) of IciMapping v4.2, two major QTLs, namely Qpm.histwrc-1AS and Qpm.histwrc-2BS-1, are detected in total, and the resistance contribution rates are 19.4%-34.5% and 19.7%-21.3%. Related molecular markers are developed through Bainong dwarf 58 sequencing data and can be applied to wheat disease-resistant molecular breeding, and a foundation is laid for exploring an Edinburgh-B disease-resistant gene and a resistance genetic mechanism.

The invention belongs to the technical field of pepper planting, and discloses a pepper fruit shape gene CaFS1, a KASP molecular marker linked with the gene and a corresponding primer, the KASP molecular marker is single nucleotide polymorphism at the 14853470th basic group on a pepper 10 # chromosome, and the basic group is replaced from C to T at the 14853470th basic group. The invention also discloses a method for obtaining a chromosome region closely linked with the fruit shape of the pepper fruit by using a whole genome association analysis and mixed pool separation analysis population localization method, developing a molecular marker in a candidate interval to determine a candidate gene CaFS1, and screening a KASP molecular marker according to the base mutation of the candidate gene. The marker is used for carrying out genotype identification on 90 randomly sampled single plants of the F2 group, and the coincidence rate reaches 100%. The result not only is beneficial to pepper fruit shape identification and auxiliary breeding, but also lays a foundation for map-based cloning of fruit shape genes and analysis of a molecular mechanism of pepper fruit shape change.

The invention provides an energy storage capacity optimal configuration method and device under green power proportion constraint, and belongs to the field of planning and operation of a power system. The method comprises the steps that an energy storage capacity optimal configuration model is constructed, the objective function of the model is to minimize the energy storage capacity of a to-be-planned object, and constraint conditions comprise power generation power and load power constraint, energy balance constraint, energy exchange constraint, energy storage operation constraint and green power proportion constraint; and after bilinear constraints in the energy exchange constraints and the energy storage operation constraints are converted into mixed integer linear constraints, solving the updated energy storage capacity optimal configuration model to obtain an optimal value of the target function, namely an optimal result of energy storage capacity configuration. According to the invention, matching between new energy power generation and a load time sequence can be realized, the green power consumption proportion of a park or a user equipped with distributed new energy power generation is improved, and the environmental protection is improved while the power demand is satisfied.

The embodiment of the invention provides a media content playing method and device, a storage medium and a program product, and the method comprises the steps: displaying a candidate media content list in a playing interface of the current media content when the switching of the media content in a media content player meets a preset condition, wherein a plurality of candidate media contents are displayed in the candidate media content list; and in response to a selection instruction for target media content in the candidate media content list, determining the target media content as media content to be played. According to the embodiment of the invention, under the condition that the switching of the media contents meets the preset condition, the candidate media content list can be provided for the user to quickly browse the multiple candidate media contents, so that the user can conveniently and quickly select the required target media contents, frequent switching operation on the media contents is avoided, and the user experience is improved. And the searching and selecting efficiency of the media content is improved.

The invention provides a large-array intelligent metasurface codebook optimization and switching method and device, and belongs to the technical field of wireless communication. Aiming at the problem of low efficiency of a traditional codebook selection method in a high-speed moving scene of a user, the invention provides an intelligent optimization method and device, which can efficiently position optimal codebook configuration in a codebook library through a quick search mechanism. According to the method, in combination with signal-to-noise ratio feedback driving, multiple groups of configurations in a codebook library are tested step by step, and a gain optimization module is combined, so that the optimal beam forming effect is achieved, and the method does not need to depend on accurate position information of a user. Besides, a clockwise adjacent codebook test strategy is introduced, the redundancy calculation and traversal time is shortened, and it is ensured that in the user moving process, codebooks can be rapidly switched, and stable communication quality is kept. The algorithm has the advantages of real-time response and complexity reduction, is suitable for 5G and other high-speed mobile communication scenes, and effectively improves the signal transmission efficiency and the communication reliability.

The invention relates to the field of wheat breeding, in particular to a rapid breeding method of waxy wheat. The invention provides a rapid breeding method of waxy wheat, which combines a plurality of experimental techniques such as tissue culture, KASP molecular marker and iodine staining identification, and can rapidly create a new line of waxy wheat. According to the method, the breeding time can be effectively and remarkably shortened, and a new method is provided for wheat variety improvement.

The invention provides a virtual object selection method and device, a computer storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: in response to a frame selection operation instruction, determining a target frame selection area corresponding to the frame selection operation instruction, and selecting a target virtual object from a plurality of selectable virtual objects; a sliding block control is displayed in the graphical user interface, the sliding block control comprises a sliding track and a sliding identifier, and a parameter numerical value range indicated by the sliding track is used for representing a numerical value range of a target parameter corresponding to a virtual object in the virtual scene; and in response to a control operation for the sliding identifier, determining a target parameter value corresponding to the control operation according to the position parameter of the sliding identifier in the sliding track, so as to adjust the target virtual object selected in the target frame selection area based on the target parameter value. According to the method and the device, the efficiency of adjusting the virtual character selected in the frame selection area can be improved, so that the user operation experience is improved.

The present invention discloses a SNP molecular marker closely linked to watermelon seed rind thickness and its application, aiming to solve the technical problem of lack of identification and identification methods for watermelon seed rind thickness genes. The present invention provides a SNP site closely linked to watermelon seed rind thickness (the base at the 7046144bp position of chromosome 6 of the watermelon genome mutates from T to C), and a dCAPS molecular marker primer N6‑32 is designed based on the enzyme cutting information of the SNP site. The use of the marker for molecular marker-assisted selection breeding can more quickly and accurately carry out directional genetic improvement of watermelon seed rind thickness; the watermelon fruit size can be quickly identified through simple experimental operation and analysis, providing a fast, simple, scientific and practical detection and identification technology for the detection of watermelon seed rind thickness traits.

The invention belongs to the field of genetic breeding, and relates to cultivation of powdery mildew resistant wheat. The invention provides a detectable molecular marker for tracking a powdery mildew-resistant gene PmDR144 and application of the detectable molecular marker in disease-resistant breeding. The molecular marker comprises an upstream primer HENU624-F and a downstream primer HENU624-R, the nucleotide sequence of the upstream primer HENU624-F is as shown in SEQ ID No. 1, and the nucleotide sequence of the downstream primer HENU624-R is as shown in SEQ ID No. 2. The primer provided by the invention can be used for detecting whether a wheat breeding material carries the powdery mildew resistant gene PmDR144 or not before the powdery mildew in the wheat seedling stage is attacked, a variety carrying the powdery mildew resistant gene PmDR144 is purposefully selected, and the marker not only is rapid and accurate in detection, but also saves the cost, improves the breeding efficiency and accelerates the breeding process.

The invention relates to the technical field of building engineering material type selection, and discloses a BI + AI-based building decoration engineering material intelligent type selection process method, which comprises the following steps: step 1, establishing an AI intelligent system, establishing the AI intelligent system according to an AI intelligent technology, the AI intelligent system comprising an AI robot, and the AI robot being capable of performing feature extraction, feature screening, training and test set generation; step 2, establishing a BI model; 3, building decoration engineering material data are input; 4, the AI intelligent system performs automatic matching and model selection; and 5, after the AI intelligent system automatically matches and selects the model, the final building model effect is presented. According to the BI + AI-based intelligent model selection process method for the building decoration engineering materials, a building structure and the decoration engineering materials are subjected to automatic matching model selection by adopting a BI technology and an AI technology, the model selection efficiency is high, the model selection precision is high, and the problem of low manual model selection efficiency is solved.

The present invention provides an image scoring method and electronic device, the method comprising: obtaining an image to be scored, inputting the image to be scored into a preset image quality detection model, outputting quality data of a face image carried by the image to be scored through the preset image quality detection model, wherein the quality data corresponds to a characteristic attribute of the image to be scored; and determining a target score of the image to be scored according to the quality data of the image to be scored. The present invention outputs the quality data of the face image carried by the scored image through a preset image quality detection model, and then determines the target score of the image to be scored according to the quality data, so as to select the image according to the target score, so that the target score of the image to be scored can be automatically given, thereby improving the efficiency of image scoring and also improving the efficiency of image selection.

The present invention belongs to the technical field of molecular biology and genetic breeding, and discloses a molecular marker closely linked to the major effect QTL qSN.C9 of the number of grains per pod in rapeseed and its application. The major effect QTL locus of the number of grains per pod located by 201 strains of the rapeseed DH population is qSN.C9 The peak SNP marker closely linked to it is seq‑new‑rs45691, located at base 47,898,234 of chromosome C09 of the Darmor V4.1 reference genome of rapeseed, which can explain 24.7% of the phenotypic variance on average, with an average additive effect of ‑2.31. The PARMS marker designed using this SNP was used to test the remaining DH lines, and it was found that it was easy to operate and had clear typing, and had a good selection effect on the number of grains per horn of rapeseed.

The application belongs to the technical field of biology and particularly relates to a molecular marker for predicting daily weight gain of pigs, a primer pair, a kit and application thereof. The nucleotide sequence of the molecular marker is shown as SEQ ID NO. 3, and the 474th site at the 5' end of the molecular marker is a polymorphic site, the base of which is C or G, and the daily weight gain of the pig with the genotype CC of the site is higher than that of the pig with the genotype GG. The molecular marker provided in the application is a molecular marker related to the growth performance of pigs, and is used for predicting the daily weight gain, feed conversion rate and other growth traits of pigs, and provides an accurate genetic basis for early selection of pigs.

The application discloses a full-angle image recognition sugarcane seed selecting device, and relates to the technical field of sugarcane seed selection, which comprises a sugarcane loading frame, sliding seats are slidingly connected to slide rods fixed to one end of the sugarcane loading frame, two sliding seats are connected through a cross rod, the cross rod is fixedly connected to a lifting cylinder at the middle position of the bottom, the lifting cylinder is fixed to the sugarcane loading frame, in the process that the sugarcane is lifted by the sugarcane supporting frame, the two ends of the sugarcane will push the swing rods to deflect to one side until the sugarcane is lifted above the swing rods, after the sugarcane is no longer pushed, the swing rods will droop according to their own gravity, the sugarcane falls on the two swing rods, then a cutting saw, which is electrically mounted on a cutting support through a linear module, moves downwards, so that the rhizome of the sugarcane is cut, the cut sugarcane no longer lifted by the swing rods will fall on multiple inclined guide conveying rods, under the guidance of the inclined guide conveying rods, the sugarcane falls on double-sided conveyors, so that subsequent sugarcane seeds can be selected.

The invention provides a mine drainage system design method integrating calculation, model selection and verification. The mine drainage system design method comprises the following steps that a drainage system design program is opened through double clicks, relevant basic parameters of a mine drainage system are input into a system, a'calculation and model selection basis' button is clicked, and relevant parameters of a water pump model selection basis are obtained through calculation; selecting a water pump and a motor according to relevant parameters of a water pump type selection basis, inputting the relevant parameters, and clicking a'drainage capacity checking calculation 'button to check whether the drainage capacity of the selected water pump and the motor meets relevant regulations of safety regulations or not; inputting the pipe diameter and the wall thickness of the primarily selected drainage pipe, clicking a'pipeline parameter calculation 'button, and checking whether the selected drainage pipe is reasonable or not. According to the mine drainage system design method integrating calculation, model selection and verification, the model selection efficiency is improved, the professional knowledge reserve capacity required by calculation and verification of the mine drainage system by related personnel is reduced, and a new thought is provided for design, model selection and calculation of related industry personnel.

The invention discloses a model selection method and system for key equipment of a flexible direct-current power transmission system, and belongs to the technical field of flexible direct-current power transmission. The model selection method comprises the following steps: determining equipment parameters of key equipment of the flexible direct-current power transmission system, and compiling a calculation table according to the equipment parameters; associating the equipment parameters with the equipment models of the key equipment of the flexible direct current power transmission system in the calculation table; and determining a boundary condition of the flexible direct current power transmission system, and based on the boundary condition, selecting an equipment model suitable for the key equipment of the flexible direct current power transmission system from the model selection calculation table. According to the method, the equipment type selection efficiency is greatly improved.

The utility model discloses a foreign matter picking table, which relates to the field of mushroom processing, and comprises a conveying table, two picking rollers are fixedly arranged on the right side between a front side plate and a rear side plate of the conveying table, the two picking rollers are flush with each other left and right, and the surface of the rear side plate is provided with a discharge port aligned with the two picking rollers. A first material receiving groove is fixedly formed in the rear side of the discharging port, a longitudinal plate is further fixedly arranged on the right sides of the interiors of the two side plates, a material pushing mechanism capable of pushing materials on the two selecting rollers is arranged on the left side of the longitudinal plate, and a second material receiving groove vertically aligned with the two selecting rollers is fixedly formed in the lower portion between the two side plates. The mushroom foreign matter sorting device can automatically convey mushrooms and sort foreign matters in the mushrooms, manual sorting is not needed, the labor intensity of people is reduced, the foreign matter sorting efficiency and sorting effect are improved, and people can conveniently use the mushroom foreign matter sorting device.