5results about How to "Strong regulation" patented technology

The application discloses a lactobacillus delbrueckii subsp. lactis OG55 and application and products, and belongs to the technical field of microorganisms. A technical problem to be solved is that existing oral probiotic research is mostly focused on the inhibitory effect of a single strain on a single target bacterium, and the colonization ability and stability of the strain in an oral environment are insufficient. The application provides a lactobacillus delbrueckii subsp. lactis OG55. The strain can inhibit three key oral pathogenic bacteria, namely porphyromonas gingivalis, fusobacterium nucleatum and streptococcus mutans, the inhibition rate of the strain on the formation of a streptococcus mutans biofilm reaches 72%, the strain has low self biofilm formation ability, strong adhesion ability to hydroxyapatite and oral epithelial cells, and excellent colonization stability; the strain can reduce the gingival index, periodontal pocket depth and inflammatory factor level of periodontitis symptoms, improve the enamel volume and mineral density of dental caries, reduce smooth surface caries and pit and fissure caries damage, prevent and treat digestive tract tumors, and has high safety and no drug resistance.

The present invention relates to the technical field of short-circuit current optimization, and specifically discloses a short-circuit current optimization method and system that considers the coordination of new energy and conventional measures, the method comprising: converting the uncertainty of the prediction error of new energy into a certain typical scenario; adding the typical scenario with three-phase short-circuit current exceeding the standard to the short-circuit current exceeding the standard operation scenario concentration; considering conventional measures and new energy measures for suppressing short-circuit current, taking the minimum total control cost as the optimization goal, constructing a short-circuit current comprehensive coordination optimization model; solving the short-circuit current comprehensive coordination optimization model based on a particle swarm optimization algorithm of a hybrid update strategy, obtaining N control measures with the minimum control cost, and obtaining the final short-circuit current optimization control measure through safety verification. The present invention adjusts the reactive current support coefficient and maximum reactive current of new energy under new energy measures, which can reduce the cost of conventional short-circuit current control and reduce the impact on the safety and stability of the power grid.

The invention relates to the technical field of medicine, in particular to a marker identification method and a diagnosis model construction method for early gastric cancer detection, which comprises the following steps: screening out a plurality of robust difference miRNAs from a data set based on a linear model, an empirical Bayesian method and an RRA algorithm, and constructing a robust difference candidate marker set; constructing a co-expression network by adopting a WGCNA method; miRNA with GS and MM larger than corresponding thresholds in the co-expression network key module is screened out to serve as early gastric cancer related miRNA, and an early gastric cancer related candidate marker set is constructed; miRNAs with RNs scores and eigenvector centrality values exceeding corresponding thresholds in the gastric cancer specific regulation network are screened out to serve as early gastric cancer regulation miRNAs, and an early gastric cancer regulation candidate marker set is constructed; and integrating all candidate marker sets to obtain a final marker set. The identified marker is helpful for improving the early gastric cancer detection accuracy.

The present invention relates to the technical field of orthopedic data partitioning, and in particular to an orthopedic database construction method, system and storage medium. The method first obtains the initial age community of the patient through the SLPA algorithm; in the initial age community, the initial association weight is obtained according to the distribution of the patient and the adjacent node patients in bone density and bone metabolism markers; suspected abnormal patients are screened out according to the correlation change between age and bone density, and then the patients with bone abnormalities are screened out according to the difference in blood indicators; the initial association weight is adjusted according to the patient and the adjacent node bone abnormality patients, and the final association weight is obtained to update the initial age community to obtain the final age community for constructing an orthopedic database. In the process of partitioning, the present invention considers the abnormal degree of bone difference to adaptively adjust the association weight between ages, so that the partition result based on age and bone condition is highly robust, the database construction is of higher quality, and the analysis efficiency is improved.

This invention belongs to the field of two-dimensional materials technology, specifically relating to a VS 2x Se 2(1‑x) A method for preparing two-dimensional alloy materials with controllable work function involves placing VCl3, Se powder, and S powder in a weight ratio of 1–3:9–11:1 in the high-temperature, medium-temperature, and low-temperature zones of a vapor deposition tube, respectively. Heating in each zone causes the raw materials to volatilize and chemically deposit on the substrate surface under the transport of a carrier gas. During this process, the alloy composition of the chemically deposited product is controlled by adjusting the temperature in the low-temperature zone, thereby controlling the work function of the product and obtaining VCl3 alloys with different work functions. 2x Se 2(1‑x) Alloy two-dimensional materials; where, 0