30results about How to "Raise the F value" patented technology

The invention relates to a method for identifying named entities in the field of traveling, belongs to the artificial intelligence field. Based on language material collection, labeling and text pretreatment conducted manually, the invention provides a method for identifying named entities in the field of traveling based on stack condition random field model. The method comprises the following two steps: in the low-grade condition random field, word used as dividing granularity is combined with characteristic dictionaries such as a tourist attraction common word table, a tourist attraction common suffix table, a place name common word table, and the like, so as to realize simple traveling name entity identification through establishing an effective characteristic molding board; the identification result is transmitted to the high-grade model, in the high-grade model, phrase used as dividing granularity is combined with a molding board with a difficult characteristic module, so as to realize the identification of nesting scenic spots, local products and delicacies, and locations. In open tests, compared with a monolayer model, the F value of the stack condition random field model increases by 8 percent; and compared with an HMM (Hidden Markov Model) model, the correct rate of the stack condition random field model increases by 8 percent, the recall rate thereof increases by 22 percent, and the F value thereof increases by 15 percent.

The invention discloses a method of preparing high F-value collagen peptide by hydrolyzing anglerfish fishskins. The method comprises the following steps: by taking anglerfish fishskins as a raw material, extracting collagen by acid liquor; then, fractionally hydrolyzing fishskin collagen by using stomach protease and flavourzyme under an ultrasonic condition; and finally, removing aryl and color, and after vacuum concentration, carrying out spray drying to obtain the high F-value collagen peptide. According to the method disclosed by the invention, leftovers of the anglerfish fishskins are effectively utilized, and the high F-value collagen peptide is prepared by hydrolyzing the anglerfish fishskins, so that not only is high nutritional value of collagen peptide extracted from the anglerfish fishskins utilized, but also the problem that the leftovers of the anglerfish fishskins pollute the environment and lead to waste of resources is further solved. The collagen peptide prepared by the method disclosed by the invention has high F value and small relative molecular weight and is beneficial to be absorbed by the human body. The value of the collagen peptide is higher than that of common collagen peptide.

The present invention relates to a microblog big data interest community analysis optimization method based on a user experience. The method comprises a step of carrying out weighted reconfiguration of an original microblog network, a step of completing the community division of the reconfigured weighted network based on the discovery algorithm of a link community, and a step of using a hierarchical clustering algorithm to continuously merge two communities with a largest similarity, finally forming a link community through division, and generating a tree-shaped hierarchical diagram. Starting from aspects of interest modeling and community discovery, through analysing microblog content and a user behavior, a user is helped to find interested users and topics of the user. Compared with a traditional method, the accuracy, recall ratio and F value of the method of the invention are improved significantly.

The invention discloses a music classification recommending method based on a Markov prediction algorithm. By means of the method, the Markov prediction algorithm serves as the main algorithm and is combined with an auxiliary algorithm to obtain a prediction value, and the next motion of a user is predicted through a large number of user data; the method can also be used for recommending music classifications and predicting user operation songs for music websites. The Markov prediction algorithm serves as the main algorithm and a prediction algorithm for user music behaviors; by means of the method, the next motions of the users are predicted through the Markov prediction algorithm when the users click on the music websites for music playing, collecting or downloading, and the next played music classifications of the users are predicted after the users play different classifications of music; the f value is effectively increased, and the data processing efficiency is indirectly improved.

The invention belongs to the field of food biotechnology, and in particular relates to a method for simultaneously preparing high-F ratio oligopeptide and starch sugar from corn gluten meal as a raw material. The pH of a pre-treated corn gluten meal solution is adjusted to be weakly-acidic and hydrolyzed. The supernatant is dried to obtain a starch sugar product; the precipitate is further hydrolyzed and refined to obtain the high-F ratio oligopeptide product. The method disclosed by the invention has the advantages of simple process, less equipment investment and high product yield, and the like; the content of total proteins of the high-F ratio oligopeptide product is higher than 85%, wherein the proportion of dipeptides and tripeptides in the total proteins is higher than 85%, F ratio is greater than 30, the high-F ratio oligopeptide product has good water solubility and good color and flavor, can be widely used in the field of health food and nutritious food; and the glucose content in the starch sugar product is higher than 50%, and the starch sugar product has good water solubility, and can be widely used in food and fermentation industry.

The invention relates to a conditional random field and transformative learning based Vietnamese chunking method and belongs to the technical field of natural language processing. The method comprises the steps of firstly preprocessing Vietnamese corpora to obtain sentence level Vietnamese chunking training corpora; extracting the sentence level Vietnamese chunking training corpora from a database and performing chunking modeling on the sentence level Vietnamese chunking training corpora to obtain a Vietnamese chunking conditional random field model; obtaining a transformative mode set; and performing chunking marking on to-be-chunked Vietnamese sentence level test corpora through the established Vietnamese chunking conditional random field model and the obtained transformative mode set to obtain a Vietnamese chunking marking result. The method realizes effective chunking analysis for Vietnamese sentences and paves the way for work such as phrase trees, semantic analysis, machine translation and the like; and compared with an existing Vietnamese chunking tool, the Vietnamese chunking method is remarkably improved in accuracy, recall rate and F value.

The invention relates to a preparation method of a high-F-value oligopeptide. The preparation method of the high-F-value oligopeptide comprises the following steps of adding alkaline proteases into ayeast protein solution for emzymolysis at a pH of 7.0-9.0 and a temperature of 45-55 DEG C to obtain a yeast leaching liquor, wherein the adding amount of the alkaline proteases is 400-600 U/g to yeast proteins; concentrating the yeast leaching liquor to removing molecules with the molecular weight lower than 500 Da in the yeast leaching liquor to obtain a concentrated solution; adding alpha-chymotrypsin into the concentrated solution for emzymolysis for 2-8 h at a pH of 6.5-8.5 and a temperature of 35-45 DEG C; performing enzyme deactivation, and then adding carboxy-peptidase A into the enzymatic products for emzymolysis for 4-8 h at a pH of 6.5-7.5 and a temperature of 35-45 DEG C, performing enzyme deactivation and absorbing impurities through activated carbon to obtain the high-F-valueoligopeptide. The preparation method of the high-F-value oligopeptide is simple, low in cost, rich in material resources and controllable during emzymolysis and can prepare the purely natural and absorbable high-F-value oligopeptide.

The present invention discloses a preparation method of shellfish high F value oligopeptides. The preparation method comprises the following steps: shellfish meat is washed clean, the washed shellfishmeat is homogenized, then enzymatic hydrolysis is conducted to obtain an upper layer enzymatic hydrolysate, a dendrimer is used to prepare a molecular imprinting material, the molecular imprinting material adsorbs aromatic amino acids in the enzymatic hydrolysate to obtain a high F value oligopeptide solution, and high F value oligopeptide powder is prepared by freeze-drying. The raw materials ofthe product are liable to obtain and cheap, the preparation method is simple and convenient for industrial production, has a product yield of 75% or more, and the product has a F value of 50 or moreand can be used as a dietary source component for patients with liver diseases.

The invention discloses a double-telecentric fixed-focus lens, which is sequentially provided with a first single positive spherical lens, a second single positive spherical lens, a third single negative spherical lens, a fourth single negative spherical lens, The fifth single negative spherical lens, the sixth single positive spherical lens and the seventh single positive spherical lens; the second single positive spherical lens and the third single negative spherical lens are combined into cemented lenses; the fifth single negative spherical lens and the sixth single The combination of positive spherical lenses is cemented lenses; a diaphragm is arranged between the third single negative spherical lens and the fourth single negative spherical lens. The bi-telecentric fixed-focus lens of the present invention reduces the number of lenses, making the production cost lower; on the premise of less lenses, the structure is simpler, smaller in size, and lighter in weight. At the same time, the bi-telecentric fixed-focus lens also has The lens has the characteristics of small total length, large F value, and large maximum imaging surface.

The invention discloses a method for preparing shellfish high fischer ratio oligopeptides through cooperation of subcritical water and an enzyme method. The method comprises the following steps of (1)performing treatment with subcritical water: performing homogenization on shellfish processing by-products, performing mixing with water, performing extraction with the subcritical water and performing filtering to obtain extraction liquid; (2) performing enzymolysis: performing enzymolysis on the extraction liquid obtained in the step (1) with endoprotease, and then performing enzymolysis with exoprotease to obtain enzymatic hydrolysate ; (3) performing clarification: removing solid granules in the enzymatic hydrolysate obtained in the step (2), to obtain clear enzymatic hydrolysate ; (4) performing decoloring: decoloring the clear enzymatic hydrolysate obtained in the step (3) with activated carbon to obtain decolored enzymatic hydrolysate ; and (5) performing refining: performing ultrafiltration on the decolored enzymatic hydrolysate obtained in the step (4), then performing nanofiltration to obtain high fischer ratio oligopeptides filtrate, and drying the high fischer ratio oligopeptides filtrate. According to the method disclosed by the invention, the fischer ratio of the products is effectively increased, the production time is greatly shortened, the energy consumption is reduced, and the production cost is reduced.

A compound of Formula 1, as disclosed herein, is useful in an organic light emitting device and apparatuses including the same.

The invention discloses sunflower disk peptide powder as well as a preparation method and application thereof. The final sunflower disk peptide powder is mainly obtained by the steps of pretreatment,enzymolysis treatment, impurity removal, concentration and post-treatment; in the pretreatment process, sunflower disks are firstly treated by using alcohol, then treatment is performed in water, so that anti-nutritional factors such as tannin and phytic acid and interference substances such as colloids and sugars in the sunflower disks are removed, and initial meal of the sunflower disks suitablefor requirements of subsequent operation is obtained; in the enzymolysis treatment process, inactivated proteins are degraded mainly by neutral protease and alkaline protease to obtain high F value oligopeptides; and the high F value oligopeptides in a solution are collected, sterilization is performed, drying is performed, packaging is performed, and finally the product is formed. The sunflowerdisk peptide powder extracted by the method has a prospect as a functional amino acid beverage, and can be applied to the field of foods.

The invention belongs to the field of genetic engineering and provides an enzyme for high yield of specific functional oligopeptides and derived from Aspergillus niger M00988 and engineering bacteriathereof. According to the invention, carboxypeptidase capable of high yield of low F-value oligopeptides and engineering bacteria for producing the enzyme are obtained through genetic modification. Through modification of special sites, the efficiency of carboxypeptidase in removing aromatic amino acids is improved, which is good for increasing the F value of products, reducing the production costof the enzymatic method, reducing the energy consumption in the later purification process, reducing environmental pollution and realizing the industrial production application in efficient preparation of high F-value oligopeptides.

The invention discloses a road network semantic similarity calculation model based on a subjective and objective integration weighting method. The method comprises the following steps: firstly, calculating semantic similarity of a single attribute item according to description characteristics of each attribute item; then, determining the weight by adopting a subjective and objective integration weighting method; and finally, determining a similarity matching threshold by utilizing regression analysis. When the model is applied to multi-scale road network matching, the matching rate, recall rate and F value can be effectively improved. Compared with a mean value method and a subjective weighting method, the subjective and objective integration weighting method has the advantages that the weight combination can more reasonably reflect the importance of each attribute item; compared with an expert assignment method, the optimal similarity matching threshold value selected through regression analysis is more targeted, and the road network matching efficiency can be effectively improved.

The invention provides a high-F-value oligopeptide and a preparation method thereof, and relates to the technical field of active peptide preparation. The method comprises the following steps: takingdefatted rice bran as a raw material, firstly adding cellulase for wall breaking, then extracting rice bran protein by an alkaline method, firstly adding neutral protease, then adding alkaline protease for hydrolyzing the protein, removing aromatic amino acid by utilizing activated carbon static adsorption chromatography, and performing separating and drying to obtain the rice bran high-F-value oligopeptide. The F value of the high-F-value oligopeptide is 28-32. The preparation method disclosed by the invention opens up a new direction for the application of the rice bran which is grain leftovers.