12results about How to "Improve preference" patented technology

The invention relates to the technical field of agricultural micro-ecological application, and discloses a method for improving the growth and drought resistance of oats by using arbuscular mycorrhizal fungi, the arbuscular mycorrhizal fungi having a close symbiotic relationship with the oats are selectively utilized, and the symbiotic relationship between the arbuscular mycorrhizal fungi and the oats is established in a condition control mode. Oat growth is promoted, and drought adaptability is improved. The AM fungi used in the method are selected from rhizosporidium intraradices or glomus mosseae, corn or trifolium repens is taken as a host, the two AM fungi are propagated in a propagation medium respectively, then two arbuscular mycorrhizal fungi inoculants and oat are co-cultured in a symbiotic culture medium respectively, and the two arbuscular mycorrhizal fungi inoculants and oat are co-cultured in a symbiotic culture medium respectively. An effective way for improving beneficial symbiosis of AM fungi and hosts under adverse conditions is provided, the infection symbiosis relation of the AM fungi to host plants is improved manually, and the yield of dry land oats is increased.

The invention relates to the technical field of psychiatric pharmacology, discloses application of helicid in antidepressant drugs, and aims to solve the problems of large side effect, unstable curative effect, drug resistance and the like of existing antidepressant drugs. According to the medicine, through multiple mechanisms of activating a cAMP / PKA / CREB signal channel, promoting neuroplasticity, inhibiting neuronal apoptosis, relieving neuroinflammation and the like, the depressive symptom is remarkably improved. The preparation method comprises the steps of extraction and purification of helicid and preparation of the medicinal preparation. Animal experiments verify that the hilicidum-based antidepressant drug can effectively improve behavioral indexes of depression model rats, has low side effects, and does not have the problem of drug resistance. Compared with the traditional medicine, the medicine provided by the invention has the advantages that the treatment effect is improved, the adverse reaction is reduced, the application prospect is better, and a new medicine choice with a multi-target action mechanism is provided for the treatment of depression.

The present application relates to a fragrance composition reproducing the fragrance of white lotus and a skin external composition and a fragrance product containing the fragrance composition reproducing the fragrance of white lotus, and particularly relates to a fragrance composition reproducing the fragrance of white lotus with excellent preference by adding 2-phenylethanol to pentadecane, p-xylene, heptadecane, sabinene, limonene, myrcene, alpha-terpineol, etc. analyzed by SPME method. The fragrance composition provided by the present application contains pentadecane, p-xylene, heptadecane, sabinene, limonene, myrcene, alpha-terpineol, etc. which are main components of the fragrance of white lotus, and also contains 2-phenylethanol, thereby reproducing the fragrance of white lotus and improving the preference of the fragrance.

The present invention is a method for producing a beer-flavor beverage having a mixing step for mixing a beer-flavor stock solution, an edible aqueous solution, and a cooling material, the method being characterized by satisfying the following conditional expression (1): 0.1 < = ratio (X) < = 3.0, where the ratio (X) is the total weight (g) of the cooling material / the total volume (ml) of the beer-flavor stock solution and the edible aqueous solution.

The invention belongs to the technical field of biotechnology, and particularly relates to a method for improving protein biosynthesis efficiency according to tRNA expression characteristics. The invention provides a method for improving protein biosynthesis efficiency according to tRNA expression characteristics. The method comprises the following steps: (1) constructing a tRNA-seq library of a sample; (2) selecting codons corresponding to isostatic receptor tRNA with the highest expression quantity in the same homotype tRNA as high RSAU codons; and (3) replacing the low-RSAU codon in the gene sequence to be expressed with the high-RSAU codon. The method has the beneficial effects that (1) the codon preference is optimized, the use efficiency of the isoworking tRNA is improved, the concentration of the codon and the tRNA is balanced, and the translation efficiency is improved; (2) the expression quantities of isoworking tRNA of different hosts are considered, so that codons are more suitable for host cell environments; and (3) rare codons are replaced, tRNA abundance is also considered, and more comprehensive codon optimization is realized.

The invention discloses a recommendation method and device based on a BLOOM model, and belongs to the technical field of recommendation, and the method comprises the steps: collecting historical behavior data and project information data of a user, carrying out the cleaning and preprocessing, coding the preprocessed data text, extracting feature vectors, and fusing the feature vectors into a comprehensive feature vector, the similarity between user historical behaviors and project features is calculated through algorithms such as cosine similarity, the generated initial recommendation list is closer to actual preferences and demands of users, the deep learning model performs secondary screening according to the initial recommendation list to generate the final recommendation list, and the recommendation efficiency is improved through a comprehensive feature vector and cosine similarity algorithm. The similarity between the historical behaviors of the user and the project features is calculated, the generated initial recommendation list better fits the actual preference and demand of the user, secondary screening is performed on the initial recommendation list through the deep learning model, screening is performed through the threshold value, and the recommendation accuracy and efficiency are improved.

The invention relates to a training method, an audio-visual segmentation method, an electronic device and a storage medium, and the method comprises the steps: obtaining a training sample which comprises an audio signal, an image, a target semantic tag and a segmentation tag; extracting audio features and image features, and performing self-attention enhancement on the audio features based on the target semantic tag to apply target semantic consistency constraint to obtain enhanced audio features; performing cross attention reweighting on the unenhanced audio features based on the guidance of the enhanced audio features to obtain target pointing audio features; bidirectional interactive fusion is executed based on the image features and the target pointing audio features, and a sparse self-attention network is adopted in the image feature fusion process to suppress unmatched image region response; generating a segmentation prediction result based on the fused image features and audio features, and training to obtain an audiovisual segmentation model; and inputting a to-be-processed video into the trained audio-visual segmentation model, and outputting a segmentation result. The image segmentation accuracy of the sounding target can be improved.

The invention relates to the technical field of data encryption, in particular to a financial data security uploading method for enterprise finance. According to the method, in the financial data iteration clustering process, through the influence of newly-added backup financial data on clustering offset and the historical offset condition of a center point, the center influence index of the newly-added backup financial data in the distribution step and the center updating index of the newly-added backup financial data in the updating step are obtained; and obtaining a center offset scale through the iterative center influence index and the center update index to perform next iterative clustering until the obtained sensitive cluster is matched with the encryption algorithm, and performing hybrid encryption on the to-be-encrypted data through the sensitive cluster and the matched encryption algorithm to obtain encrypted data. According to the method, when financial data is divided according to risk conditions, a supervision mechanism is added to adjust the offset degree of an iterative clustering center, the preference of a division clustering result is improved, the category matching reliability of a multi-encryption algorithm is higher, and the subsequent data encryption security is better.

This invention discloses a method with NMN + A preferred glucose-6-phosphate dehydrogenase mutant and its preparation method were investigated. Using the TmG6PDH-R7 mutant as the starting protein, random mutations were performed using error-prone PCR to construct a random mutant library. A high-throughput screening method for positive clones on plates was used to obtain the clones with the most obvious color development. Recombinant bacteria were cultured and purified to obtain the mutants. After three rounds of screening, NMN with amino acid sequences as shown in SEQ ID NO.6, SEQ ID NO.8, or SEQ ID NO.10 was obtained. + A glucose-6-phosphate dehydrogenase mutant with enhanced preference, achieving NMN + The specific enzyme activity of TmG6PDH coenzyme is increased. The mutant with the amino acid sequence shown in SEQ ID NO.10 has more than 5 times higher specific enzyme activity at 37 degrees compared with the R7 mutant with the highest specific enzyme activity, and has good application prospects in industrial production.

[Problem] To provide a technical means for effectively improving visual preference when reproducing cheese by heating. [Solution] Provided is a method for producing a reproduced cheese, said method comprising at least a step for preparing a filter and a step for filtering a reproduced cheese raw material, which has been subjected to a heat-melting treatment, through the filter, the size of the opening of the filter is set using both the maximum extension distance of the processed cheese measured by the tensile test and the number of holes generated at a half distance of the maximum extension distance as an index.

The invention discloses an aldose reductase mutant and application thereof. The aldose reductase mutant is an aldose reductase with changed coenzyme preference, the amino acid sequence of the aldose reductase mutant is shown as SEQ ID NO: 4, and the amino acid sequence of the aldose reductase mutant is obtained by mutating 270-site lysine into arginine and mutating 272-site asparagine into aspartic acid in a female parent amino acid sequence shown as SEQ ID NO: 2. The nucleotide sequence of the aldose reductase mutant gene is as shown in SEQ ID NO: 3. The gene is introduced into escherichia coli to obtain a genetically engineered bacterium containing the gene, so that the preparation of the recombinant aldose reductase mutant is realized. The aldose reductase mutant provided by the invention can efficiently utilize cheap oxidized coenzyme I (NAD < + >) to catalyze selective reduction of a C1-site aldehyde group of glucose, so that green, safe and sustainable preparation of D-sorbitol is realized.

The invention provides a targeted degradation method for improving main epitopes of alpha s1-CN, which comprises the following steps: directionally modifying 82 # tyrosine and 83 # arginine residues of papain in a loop2 region through choline dihydrogen citrate, and enhancing the surface electrostatic potential of a catalytic triad through a Loop2-Loop1-alpha 3-alpha 2 path, so as to improve the main epitopes of alpha s1-CN. According to the present invention, the indole plane of the Trp177 at the inlet of the substrate binding channel is regulated and controlled to be converted from the horizontal direction to the vertical direction so as to form the narrow substrate binding channel, and the binomial probability logarithmic ratio of the papain to the tyrosine residue hydrolysis selectivity is improved from 1.4 to 8.7, and the preference to the tyrosine residue is improved by 6.15 times; therefore, the targeted degradation capacity of the papain on the main epitope Y154-T174 of alpha s1-CN is improved, and the binding capacities of hydrolysate of the papain and IgE and IgG are respectively reduced to 5.36% and 8.55% from 7.28% and 12.42%. According to the papain modified by the dihydrocholine citrate, the degradation of the papain on main epitopes of alphas1-CN is enhanced, and meanwhile, the function loss of the papain is reduced as much as possible.