68 results about "Population dynamics" patented technology

A method for regulating fermentation of organic material, such as cocoa beans and pulp is disclosed. The method includes adding at least one strain of lactic acid bacteria and / or acetic acid bacteria to the organic material. Optionally, at least one strain of yeast is added. Bacterial strains and compositions, useful in the described method, are also disclosed. The use of the described starter cultures and compositions permits faster fermentation, fermentations with targeted population dynamics and succession of microorganisms, and fermentations with targeted levels of both desirable and undesirable metabolites.

The invention discloses a real-time city emergency evacuation simulating method based on mobile phone data. The method comprises the steps: 1) obtaining geographic information system (GIS) map information by using a GIS map information sub-system; 2) calculating personnel real-time distribution information by using a personnel real-time distribution mining sub-system through the mobile phone data and the information obtained by the GIS map information sub-system; 3) after determining the disaster type, class and affected geographic position, using an affected area judgment sub-system to mark an evacuation site as the evacuation terminal point of all persons; 4) according to the obtained GIS map information, personnel real-time distribution information and disaster area judgment information, calculating a personnel evacuation route and an evacuation scheme of all persons by using an evacuation simulation sub-system. The population dynamic distribution point is obtained by a mobile phone communication data mining method. The method is combined with the city evacuation simulation for obtaining the population situation of whole city before the evacuation. The scientificity and accuracy of the city evacuation simulation are ensured, and the effective basis is provided for the following evacuation scheme.

The invention relates to a safety evaluation method of transgene insect-resistant rice on predative natural enemy cyrtorhinus lividipennis. The safety evaluation method includes the five parts including Tier-1 toxicity testing, three-level nutrition testing, protein transferring rules, predation function reaction and population density and population dynamic comparison. The potential toxicity of Bt protein expressed by Bt transgene insect-resistant rice on the cyrtorhinus lividipennis are respectively evaluated by the five parts; influences of the Bt transgene insect-resistant rice on the cyrtorhinus lividipennis on prey media are evaluated; paths and degrees for the cyrtorhinus lividipennis to be exposed in Bt protein are evaluated; influences of the Bt transgene insect-resistant rice on the cyrtorhinus lividipennis population are evaluated. Finally generated ecological effects of transgenic crop planting on non-target organisms are comprehensively evaluated according to data in the five parts. The safety evaluation method is systematic and scientific, and is of great significance on perfecting influence studying of transgenic crops on the non-target organisms and determining the ecological safety of transgenic crop planting.

The invention relates to a haplotype primer for identifying Q-shaped bemisia tabaci and an identification method. The method comprises the following steps of: (1) extracting Q-shaped bemisia tabaci genomic DNA; (2) carrying out PCR (Polymerase Chain Reaction) amplification on mitochondrial COI (cytochrome oxidase subunit I) genes of the Q-shaped bemisia tabaci genomic DNA by taking the Q-shaped bemisia tabaci genomic DNA as a template; (3) digesting a PCR product prepared in step (2) by a restriction enzyme Hin1II (N1aIII) to obtain a digestion product; and (4) carrying out agarose gel electrophoresis analysis on the digestion product prepared in step (3). The restriction enzyme is a common restriction enzyme, a simple and stable digestion mark is provided for screening two types of haplotype Q-shaped bemisia tabaci, at the same time an identification technology for the two types of haplotype Q-shaped bemisia tabaci is developed and established, and a foundation is established for future population dynamic identification and biology and invasion mechanism researches of the two types of haplotype Q-shaped bemisia tabaci.

The invention discloses an attractant for luring and gathering dichocrocis punctiferalis and a bait, and belongs to the field of preparation of the attractant for dichocrocis punctiferalis. The attractant is prepared from compounds including alpha-pinene, camphene, sabinene and beta-pinene in a mixing mode, all the compounds are volatile active compounds released by a main host plant (Chinese chestnut) of dichocrocis punctiferalis in the fields. The attractant is prepared from the volatile active compounds with a function of luring dichocrocis punctiferalis in the mixing mode, can lure and gather a lot of dichocrocis punctiferalis female moths and a small number of male moths, can be applied to monitoring and prevention of the population dynamics of dichocrocis punctiferalis in chestnut orchards, is economical and effective and free from environmental pollution.

The invention belongs to the technical field of electric power load forecasting, in particular to a method for forecasting daily peak load of electric power, which comprises the following steps: collecting sample data including historical daily peak load, daily maximum temperature, daily minimum temperature, daily average temperature, daily average relative humidity, daily maximum wind speed and date type; the original sequence of daily peak load is decomposed into a finite number of eigenmode functions of local characteristic signals with different time scales by using the complete convergentempirical mode decomposition of adaptive white noise, and the adaptive white noise smoothing impulse interference is added in each decomposition to obtain a plurality of IMF components. By introducing the population dynamic evolutionary operator and nonlinear convergence factor, the grey wolf optimization algorithm is improved, the regularization parameters and the radial basis function parameters of support vector machine are optimized, and the optimized support vector machine prediction model is established. Forecasting models are used to get the final daily peak load forecasting results.

The invention relates to the field of pest control and particularly relates to an automatic monitoring device for locusta migratoria manilensis nymphs and a monitoring method thereof. The device comprises a luring module, a trapping module and a processing module, wherein the luring module is used for luring the locusta migratoria manilensis nymphs; the trapping module is used for collecting the locusta migratoria manilensis nymphs; and the processing module is connected with the luring module and comprises a sensor unit, a counting unit and a transmission unit, wherein the sensor unit is used for sensing the locusta migratoria manilensis nymphs, the counting unit is used for counting the quantity of the locusta migratoria manilensis nymphs, and the transmission unit is used for transmitting data to a data management center. According to the automatic monitoring device provided by the invention, the population quantity of the locusta migratoria manilensis nymphs can be automatically monitored; by adopting a photoelectric technology, computer technology and remote transmission technology combined design, the locust nymphs entering traps can be automatically counted, and data are transmitted to the data management center, so that the function of automatically monitoring the population dynamics of locusta migratoria manilensis is achieved; and the device has the characteristics of high efficiency, high sensitivity and high specificity.

The invention relates to primers and method for identifying greenhouse trialeurodes vaporariorum and bemisia tabaci by utilizing mitochondria SCAR (sequence characterized amplified regions) marker. The primers are nucleotide sequences shown as SEQ ID NO.1 and SEQ ID NO.2 respectively. The method comprises the following steps: (1) extracting aleyrodid genome DNA (deoxyribonucleic acid); (2) performing polymerase chain reaction (PCR) amplification by taking the aleyrodid genome DNA as a template; and (3) performing sepharose gel electrophoretic analysis on the PCR amplification prepared in the step (2). According to the invention, a simple and stable molecular marker for identifying the greenhouse trialeurodes vaporariorum and bemisia tabaci is provided and a foundation is laid for research of population dynamic identification, biology and invasion mechanisms of aleyrodid in the future.

The invention discloses an aggregation pheromone attractant for attracting Ips nitdus Eggers to trap and kill Ips nitdus Egger, composed of following ingredients: 2-methyl-3-buten-2-ol of 65-90%, (+ / -)-ipsdienol of 2-20%, (S)-cis-verbenol of 1-10% and trans-verbenol of 0-5%. The ingredients of the attractant provided by the invention are mixed well, and loaded in delivery carriers (attracting cores) of PE plastic bag type, bottle type, rubber stopper type, etc. to use. The invention belonging to natural volatile organic substance has stable structure, and stable chemical property at normal temperature and pressure, compared with normal chemical control, has the characteristics of no toxicity, no pollution, high efficiency, safety to environment and natural enemies, and is suitable for the monitor of the emergence period, emergence zone, population dynamics of Ips nitdus Eggers and production control of large-area trapping and killing.

The invention relates to a primer and an identifying method for identifying different genetic collateral series of aphelinid. The identifying method comprises the following steps: (1), extracting aphelinid genome DNA (Deoxyribose Nucleic Acid); (2) carrying out PCR (Polymerase Chain Reaction) augmentation on a mitochondria COI (Cytochrome Oxidase Subunit) gene by adopting the aphelinid genome DNA as a template; (3), digesting the prepared PCR product by restriction enzyme Alu I to obtain enzyme-digested products; and (4), carrying out sepharose gel electrophoretic analysis on the prepared enzyme-digested products. The restriction enzyme is normal restriction enzyme, so that simple and stable enzyme digestion marks are provided for selecting the aphelinid with two genetic collateral series; and meanwhile, an identifying technology for the aphelinid with two genetic collateral series is established, so that the foundation is laid for population dynamics identification for the aphelinid with two genetic collateral series, the biology as well as the research of a mechanism of transmission.

The invention discloses a large-scale population dynamic emergency evacuation simulating method following an optimal-forgetting rule. The method includes the following steps of establishing an evacuation personnel source point set, a relay point set and a safe area point set based on a scene, establishing a communication relation among personnel, relay points and a safe area according to the actual situation in the evacuation scene, dynamically updating an evacuation route weight according to the situation in the scene, searching for a multi-constraint local optimal route, recording the reach location of evacuation personnel in real time, establishing an evacuation source point set at the moment according to the scene intermediate state, forgetting the route at the previous moment and updating available advancing nodes for local research again, and repeating the whole route searching process till all the personnel reach the safe area. The problem that under a complicated scene network, an optimal evacuation route is difficult to calculate is effectively solved, the optimal route searching of dynamic weight changes on a large scale is effectively supported, and the method has obvious advantages on the aspect of large-scale population evacuation route planning.

The invention discloses an epidemic prevention and control oriented population dynamic contact structure modeling and discovery method. The method comprises the following content: a method for modeling a population dynamic contact structure by using a metapopulation based third-order tensor; a method for constructing a spatial mode of the population contact structure by using an analog simulation technology based on population statistics data; and a method for inferring a time mode of the population contact structure by using a data mining technology based on epidemic monitoring data. The invention provides a brand-new and efficient method for modeling and discovery of the population contact structure. Compared with an existing method, the method provided by the invention has the following advantages: (1) the population dynamic contact structure modeling and discovery method is provided, and the dynamic contact structure better conforms to a contact mode of human being; (2) the method can be applied to modeling and discovery of large-scale population contact structures; (3) the method has the characteristic of low cost; and (4) the obtained population dynamic contact structure can accurately predict epidemic outbreak and planning of epidemic prevention and control measures.

The invention relates to a method for identifying Frankliniella occidentalis species by utilizing PCR (Polymerase Chain Reaction)-RFLP (Restriction Fragment Length Polymorphism) technology, comprising the following steps: (1) extracting Frankliniella occidentalis genome DNA; (2) conducting PCR amplification to the mitochondrion COI gene of the Frankliniella occidentalis genome DNA by taking the Frankliniella occidentalis genome DNA as a template; (3) conducting enzyme cutting to the PCR product prepared in step (2) by adopting restriction enzyme EarI to obtain an enzyme cutting product; and (4) conducting agar gel electrophoresis analysis on the enzyme cutting production prepared in step (3). The restriction enzyme is the common restriction enzyme, therefore, the method provides a simple, convenient and stable enzyme cutting marker for screening two types of Frankliniella occidentalis, and simultaneously explores and establishes an identification technology for the two types of Frankliniella occidentalis, and lays a foundation for identification on the population dynamics of the two types of Frankliniella occidentalis and research on biology and invasion mechanisms.

The invention relates to a primer and a method for authenticating frankliniella occidentalis by using expressed sequence tag (EST) microsatellite markers. The method comprises the following steps of: (1) extracting the genomic DNA of thrips; (2) performing polymerase chain reaction (PCR) on the genomic DNA of thrips, which serves as a template; and (3) performing sepharose gel electrophoretic analysis on an enzyme-digested product prepared in the step (2). By the authentication method, simple and stable molecule markers are supplied to screening of frankliniella occidentalis and other three types of thrips and a foundation is laid for the future research on the population dynamic authentication, the biology and an invasive mechanism of frankliniella occidentalis.

The invention relates to a lure core for controlling proxenus lepigon. The lure core comprises a controlled release carrier, wherein a sex attractant is arranged in the controlled release carrier which is a cuff type rubber plug or plastic tube; the sex attractant is prepared from the following raw materials by weight: 0.1-1.0mg of cis-7-dodetyoprolene, 0.1-1.0mg of cis-9-tetradecyl acetate and 0.1mg of antioxidant. The lure core disclosed by the invention has a strong lure function for the proxenus lepigon; and the population dynamic of the proxenus lepigon in the field can be reflected timely and accurately according to the change of trap catches. The lure core disclosed by the invention has the advantages of safety and environment friendliness for use, convenience for operation, remarkable control effect, no harm to people, livestock and environment as well as remarkable social and ecological benefits.

The invention discloses an urban personnel regional deployment and control management method based on multi-source big data. The method comprises the following steps: obtaining population dynamic dataof a plurality of regions from the multi-source data; According to the population dynamic data, determining the same target appearing in more than one region and the region appearing in each same target, obtaining a candidate item set taking each region as an item, and determining k-item set of which the support degree is greater than a minimum support degree threshold value from the candidate item set, Wherein k is greater than or equal to 2; Generating a corresponding candidate association rule according to each frequent item set, and determining a credible association rule of which the confidence coefficient is greater than a minimum confidence coefficient threshold from the candidate association rules; And predicting the population state of the corresponding rear item corresponding region according to the population state of the front item corresponding region in a part of or all credible association rules, and adjusting the deployment and control strategy of the management resources according to the prediction result. According to the method, the management resources can be allocated and deployed in advance according to the personnel dynamic characteristics of each region, sothat the waste of the management resources is avoided.

The present invention discloses a globally universal key factor preset array platform for dynamic forecast analysis of biological populations, which can be used to preset massive arrays of standard environmental factors; and through the Internet user's registration system, global users for biological population dynamic forecast can instantly select the contents suitable for their own country or local region to construct an accurate statistically forecast model for specific area and specific biological population dynamics, so as to make an accurate quantitative forecast of biological population dynamics in the future. Each preset data is co-located by a row variable coordinate and a column variable coordinate. Each located individual data can not be interchanged up and down or to and fro, the row variable coordinate is time coordinate and the column variable coordinate is space coordinate. This invention effectively resolves the existing problems in the current life population forecasting such as incapability to construct an effective forecast models or poor forecast effect or narrow application scope of the constructed model for many important biotic populations due to it is difficulty to timely access to adequate and effective environmental information amount for users.

The invention discloses a DNA sequence for coding spodoptera exigua vitellogenin (SEVg). The invention also discloses a specific polypeptide sequence capable of utilizing Western blot to detect the AlVg protein expression level. The invention also discloses a polyclonal antibody of an SEVg polypeptide and a preparation method thereof. The polypeptide specific antibody is utilized for analyzing the tissue distribution of SEVg in spodoptera exigua and the difference expression on the protein level. The invention can be used for observing and predicting the population dynamics of spodoptera exigua in fields and can provide material basis and technical support for quick detection and molecular biology study of the protein.

The invention discloses a big data-based unemployed population dynamic monitoring method. The method comprises the following steps of constructing massive individual travel tracks according to time-space record data of individuals; by training prior samples, performing learning to obtain a boundary of unemployed and employed populations in a daily travel mode feature; based on this, identifying all the samples, and judging a current employment state; updating the data in real time, monitoring and updating employment conditions of all the samples, and calculating a ratio of the unemployed population to the samples; and expanding the samples to obtain an unemployed population distribution condition of the whole society in two dimensions of time and space and a statistical result of the unemployed population distribution condition. The method has the advantage that the statistics of real-time unemployed population and unemployment rate in a region can be carried out conveniently and efficiently.

The invention relates to a polymerase chain reaction (PCR) authentication primer and method for distinguishing bradysia odoriphaga larva from bradysia difformis larva. The method comprises the following steps of: (1) extracting genome DNAs of the bradysia odoriphaga larva and the bradysia difformis larva; (2) carrying out PCR amplification on a mitochondria COI gene with the genome DNA of the bradysia odoriphaga larva and the bradysia difformis larva as a template; (3) carrying out enzyme digestion on a PCR product prepared in step (2) by using restriction enzyme EcoRV to obtain an enzyme-digested product; and (4) carrying out agarose gel electrophoresis analysis on the enzyme-digested product prepared in step (3). The restriction enzyme refers to a frequently-used restriction enzyme. By using the method, a simple, convenient and stable enzyme digestion sign is provided for screening the bradysia odoriphaga larva and the bradysia difformis larva, an technique for authenticating the bradysia odoriphaga larva and the bradysia difformis larva is explored and established, and a foundation is laid for the future bradysia odoriphaga larva and bradysia difformis larva authentication, population dynamic monitoring and comprehensive prevention and control.

Belonging to the technical field of plant tissue culture, the invention provides a method for introducing nitrogen-fixing bacteria into sugarcane tissue culture seedlings. The method consists of: under aseptic operation conditions, cutting the stem tips of sugarcane, and conducting callus induction, seedling differentiation culture, rooting induction as well as strong seedling culture in order; making use of a labeled strain of Klebsiella to prepare a bacterial suspension, and carrying out bacterium inoculation treatment on sugarcane tissue culture seedlings; determining the colonization dynamics of the labeled strain of Klebsiella in the sugarcane tissue culture seedlings; and detecting colonization of the labeled strain of Klebsiella in sugarcane tissues by a fluorescence microscope. The method for introducing nitrogen-fixing bacteria into the sugarcane tissue culture seedlings adopts the fluorescence microscope to observe infection and colonization of the Klebsiella labeled strain, investigates the population dynamics of the Klebsiella labeled strain by an antibiotic resistance labeling method and a plate isolating counting method, and provides references for popularization and application of health seedlings with nitrogen-fixing bacteria and for the interaction study of nitrogen-fixing bacteria and sugarcane, thus having high promotion and the application value.

The invention discloses a biomass population dynamics predictive parsing worldwide general key factor presupposing array platform. Mass of standard environment factor arrays are preset, the world population dynamic prediction users select content fit for own country or local areas to construct an accurate specified area and specific biological population dynamics statistical prediction model through an Internet user registration system in real time, accurate quantitative forecast is conducted on related biological future trends conveniently, each preset datum is positioned by row variable coordinates and column variable coordinates, each positioned independent datum cannot transpose with one another, the row variable coordinates serve as time coordinates, and the column variable coordinates serve as space coordinates. The problems that in current life population prediction an effective prediction models of a plurality of important biological population cannot be constructed, or the prediction effect of the constructed models is poor, or the application range is narrow due to the fact that users cannot obtain enough effective environment information quantity are solved.

The invention discloses a DNA sequence used for encoding apolygus lucorum vitellogenin. The invention further discloses a specific peptide sequence capable of detecting an AlVg protein expression level by using Western-blot, and the expression difference of AlVg in apolygus lucorum on the protein level is analyzed by utilizing the specificity of the polypeptide. The invention further constructs an atlas of age in days after female adult eclosion and AlVg expression trend. The correlation of AlVg genes and protein expression levels in female adults with single female fecundity is investigated after the female adults are continuously bred on a variety of host plants, in order to construct a related prediction model, which has significant importance on prediction of the spawning potential of the apolygus lucorum. a positive correlation relation between the AlVg expression levels of female apolygus lucorum adults and the single female fecundity after eclosion for 7 days is defined. The specific peptide sequence disclosed by the invention can be used for observing and predicting the population dynamics of the apolygus lucorum in fields, and providing a foundation for research and development of new technology for monitoring field populations of the apolygus lucorum.

The invention discloses a method for efficiently trapping Monochamus alternatus and a special device for the method. According to the method, traps are installed in a Monochamus alternatus region, and the Monochamus alternatusis trapped by 495-500nm of light waves emitted from the traps. According to the method for efficiently trapping the Monochamus alternatus and the special device for the method, disclosed by the invention, the Monochamus alternatus is trapped by adopting monochromatic LED (light-emitting diode) illuminators, so the trapping efficiency is high; the method has a very good trapping effect on the Monochamus alternatus in a diet supplement period and a spawning period, not only is capable of reducing the population number of the Monochamus alternatus and monitoring the population dynamics of the Monochamus alternatus but also is suitable for preventing the propagation of Bursaphelenchus xylophilus to reduce the hazard of the Bursaphelenchus xylophilus.

The invention relates to an iterative simulation method for a macro model of crowd evacuation, comprising the following steps: 1) establishing Aw-Rascle population dynamics macro-model; 2) initializing the Gaussian distribution of pedestrians base on the terrain environment; 3) Iterative simulation being carried out based on the initialized Gaussian distribution of the pedestrian flow and the Aw Rascal crowd dynamics macro model, and the simulation result being displayed. Compared with the prior art, the iterative simulation method adopted by the invention can make the simulation effect closerto the real situation, and has the advantages of high simulation result precision.

The invention relates to the field of field detection instruments, in particular to a field full-automatic rain increasing and decreasing device. During field operation, rainfall is entrapped by a V-shaped rain-shedding groove, so that control of the rainfall is decreased. After rainwater entrapped by a V-shaped rain-shedding groove is collected into a rainfall collector through a drainage device and a rainwater collecting tank, entrapped rainwater permeates into soil through a rain increasing pipe by the aid of drip irrigation, so that the rainfall is increased. In the process, by the aid of the principle that rainwater flows to a low position from a high position under the action of nature gravity, natural rainfall is automatically increased and decreased. The field full-automatic rain increasing and decreasing device has the functions that data are automatically acquired and wirelessly transmitted, the device can remotely collect the data and monitor rainfall conditions controlled by the device and plant growth dynamic conditions in real time, researches influence of rainfall change on ecological system plant individual, population dynamics, other biological processes, abiologic processes and the like, and can be widely applied to related discipline fields such as ecology, biology and agricultural science.

The embodiment of the invention provides a visual management system for community population big data. The visual management system comprises a basic data layer, a population dynamic analysis layer, avisualization layer and an interface layer, the population dynamic analysis module is connected with the basic data layer; the visualization layer is connected with the basic data layer and the population dynamic analysis layer; and the visualization layer is connected with the basic data layer and the population dynamic analysis layer. The system can clearly and visually display the community population big data through the thermodynamic map and the statistical legend, facilitates analysis and judgment of the community population big data, facilitates viewing and management of population dynamics in a community, and improves the management efficiency.

The invention provides a population dynamic measurement and calculation method and system automatically depending on an urban super-brain computing platform. The method comprises the following steps:S1, presetting a population type; s2, establishing an influence degree model of the spatial environment and spatial relationship of the urban spatial region relative to dynamic distribution of different population types; s3, collecting a certain number of samples of a real city space area; s4, respectively training the influence degree models established in the step S2 by utilizing the samples collected in the step S3; and S5, substituting the spatial environment and spatial relationship parameters of any real urban spatial region into the influence degree model trained in the step S4, and obtaining dynamic population distribution of various types in the urban spatial region. Scientific and targeted analysis and judgment of dynamic distribution conditions of different types of population are facilitated, the population quantity of urban space areas is predicted, and population density points are excavated.

The embodiment of the invention provides a regional population prediction method and system based on a spatial attraction index, and the method comprises the steps: obtaining the spatial characteristic quantity of a current region, and the spatial characteristic quantity comprising a spatial environment characteristic quantity and a spatial region characteristic quantity; utilizing a pre-trained space attraction degree model to input the space characteristic quantity, and determining the attraction degree of the current region to each population type; predicting the migration quantity of the population corresponding to the population type according to the attraction degree, wherein the migration quantity comprises the immigration quantity and the emigration quantity; and configuring resources for the current area according to the migration quantity. According to the regional population prediction method and system based on the spatial attraction index, the dynamic population development trend of the urban area can be accurately predicted, and then a basis is provided for resource allocation of the urban area.

The invention discloses a fast labeling and tracking method of recombinant human adenovirus type 5. An aggregation-induced emission molecule is used as a fluorescence label, and through electrostaticinteraction, human adenovirus type 5 is labeled by the aggregation-induced emission molecule. Through a laser confocal imaging analysis system, a whole infection process of the human adenovirus type 5infecting a host cell can be tracked. The labeling method is simple and efficient, effects on adenovirus activity are small, and population dynamic infection behaviour of the adenovirus in the singlecell can be fully reflected. The multiobjective real-time long-time human adenovirus type 5 tracking method in combination with excellent optical property of the aggregation-induced emission moleculeis built, and a powerful tool is provided for globally and efficiently studying a human adenovirus type 5 infection mechanism.