Primary nucleotide sequence of the agrotis segetum ganulosis virus (AsGV), insecticide discovery systems containing this sequence and prevention and controlling kits for agrotis segetum insect outbreak and spread

Low-temperature amylase strain, low-temperature amylase, and production therefor

Brain function connectivity detection system and method based on self-adaptive priori information guidance

The invention relates to a brain function connectivity detection system based on self-adaptive priori information guidance and a brain function connectivity detection method utilizing the system. The method comprises the steps that S1, blind source signal separation is performed separately on functional magnetic resonance data of all single-subjects in group-subjects collected by the same mask through an independent component analysis method, so independent functional components corresponding to all the single-subjects are obtained; S2, adaptive prior information used for guiding functional magnetic resonance data analysis on the group-subject and single-subject levels is extracted from the functional components corresponding to all the single-subjects; S3, by utilizing the adaptive prior information, based on a multi-objective optimization framework, in combination with a weight summing algorithm and a fast fixed-point algorithm, blind source signal separation is performed on the functional ...

Low-temperature neutral lipase and geotrichumcandidum for preparing the same

Brain disease diagnosis method, device and system based on dynamic super network

The invention discloses a brain disease diagnosis method, device and system based on a dynamic super-network, and the method comprises the steps: collecting resting-state fMRI brain image data of a plurality of normal and healthy subjects and subjects suffering from mild cognitive impairment diseases, carrying out the preprocessing operation, and obtaining an ROI time sequence of the data of each subject; clustering each tested ROI time sequence by using an affine clustering algorithm, and adaptively grouping each tested brain region; constructing a dynamic brain network; performing feature selection to obtain different clustering coefficients; performing feature screening on the plurality of training objects according to different clustering coefficients; and finally, establishing a corresponding classification model. The sliding time window method is introduced to construct the brain network, so that a dynamic network model implied by the brain can be mined according to the time-varying ...

Method for preparing low-temperature neutral lipase by using Geotrichum candidum

The invention discloses a method for preparing low-temperature neutral lipase by using Geotrichum candidum (CGMCC.No.197). The methods of aqueous two-phase extraction and SephadexG-75 gel filtration are used for separating and purifying the fermentation liquid of the Geotrichum candidum. The bacteria provided by the invention are low-temperature neutral lipase producing bacteria which have the advantages that commercial application prospect is good, the lipase producing temperature is stable, the sources of the raw materials are wide, and the production cost is low. The expression product prepared by the invention is novel low-temperature neutral lipase, wherein the optimal action temperature is 35 DEG C, and the optimal pH is 7.0. The novel low-temperature neutral lipase can be widely used in the fields of food, chemical industry, medicinal products and the like.

Low-temperature alkaline phosphatidase A1 and coding gene thereof

This invention discloses a cold-resistant Serratia fonticola xjFl CGMCC No.1971. Through the research of the strain characteristics, enzyme production conditions and the nature of enzyme, a new phospholipase A1 gene is found to consists of two open reading frames plA and plS, and the plA gene is certified to coding the phospholipase A1, the plS gene is certified to coding the phospholipase A1 auxiliary protein. This invention relates to a recombinant plasmid and a recombinant strain containing the gene, the gene expression product phospholipase A1 in the shows activity under low-temperature conditions, which can be used in industries such as oil refining process to simplify the production process, save the energy consumption, improve the product quality, protect the environment, reduce the production costs, and have important practical significance.

Low-temperature neutral lipase produced by Geotrichum candidum

The invention discloses a method for preparing low-temperature neutral lipase by using Geotrichum candidum (CGMCC.No.1972). The bacteria provided by the invention are low-temperature neutral lipase producing bacteria which have the advantages that commercial application prospect is good, the lipase producing temperature is stable, the sources of the raw materials are wide, and the production costis low. The expression product prepared by the invention is novel low-temperature neutral lipase, wherein the optimal action temperature is 35 DEG C, and the optimal pH is 7.0. The novel low-temperature neutral lipase can be widely used in the fields of food, chemical industry, medicinal products and the like.

Low-temperature pectase strain, low-temperature pectase, and production thereof

Method for treating high concentration phenolic wastewater

The invention relates to a method for treating high concentration phenolic wastewater. The treating method comprises extracting the high concentration phenolic wastewater with a dephenolization extractant to obtain an extraction phase and a raffinate phase, wherein the dephenolization extractant contains pinacolone, and the high concentration phenolic wastewater contains not less than 2000mg / L of total phenolic contents of phenol. Compared with the prior art, the treating method in the invention is more energy-saving in the solvent recovery stage, and energy consumption of water tower is reduced greatly; and pinacolone has excellent extraction effect, so that the treating method can effectively reduce the content of phenols in the high concentration phenolic wastewater.

FMRI constraint independent component analysis learning method based on genetic algorithm

The invention provides an fMRI constraint independent component analysis learning method based on a genetic algorithm, and the method comprises the steps: building a multi-objective optimization framework through a CSTICA method, solving an inner product of a matrix in each objective function through a row or column vector, and converting the matrix iteration into a multivariable single function for iteration, and finally, solving a global optimal solution set of the separation matrix by using a non-dominated sorting genetic algorithm, and further restoring a corresponding independent source signal. The independent source signal iterated through the genetic algorithm can provide a solid foundation for positioning of a focus in a cerebral cortex functional area, treatment of cerebral diseases, exploration of occupational brain plasticity recombination characteristics and the like.

Method for preparing low-temperature neutral lipase by using Geotrichum candidum

The invention discloses a method for preparing low-temperature neutral lipase by using Geotrichum candidum (CGMCC.No.197). The methods of aqueous two-phase extraction and SephadexG-75 gel filtration are used for separating and purifying the fermentation liquid of the Geotrichum candidum. The bacteria provided by the invention are low-temperature neutral lipase producing bacteria which have the advantages that commercial application prospect is good, the lipase producing temperature is stable, the sources of the raw materials are wide, and the production cost is low. The expression product prepared by the invention is novel low-temperature neutral lipase, wherein the optimal action temperature is 35 DEG C, and the optimal pH is 7.0. The novel low-temperature neutral lipase can be widely used in the fields of food, chemical industry, medicinal products and the like.

Human brain functional activity state classification method

The invention discloses a human brain functional activity state classification method which comprises the following steps: S1, acquiring human brain functional activity state approximate description sets under all cognitive state control groups according to functional magnetic resonance training data sets under the different cognitive state control groups; S2, modeling the human brain functional activity state approximate description sets to acquire judgment time domain brain power modes corresponding to all the cognitive state control groups; S3, carrying out sparse representation on the human brain functional activity state approximate description sets to be identified according to the judgment time domain brain power modes to obtain expression energy values; and S4, classifying the human brain functional activity states to be identified into corresponding cognitive states according to the expression energy values. After the method is adopted, the corresponding cognitive states of the ...

Complet sequence of granulosis virus genom of yellow cutworm

A genom sequence of agrotis segetum granulosis virus (AsGV), its application, and its specific primer and probe are disclosed. Its complete sequence is shown as SEQ ID No.1.