9 results about "Research model" patented technology

The invention belongs to the technical field of biomedicine, and particularly relates to an animal model and a modeling method thereof. According to the method, the northwest dryness syndrome type sub-health animal model is successfully constructed, an open model evaluation mode is adopted, and the established model is evaluated through goodness of fit; furthermore, autumn pear syrup is used for indicating that the prescription corresponds to the syndrome. The northwest dryness syndrome type sub-health target model established by the invention can provide a stable and reliable research model for external dryness syndrome essence exploration, arid region sub-health prevention and treatment, drug effect and pharmacological mechanism research of traditional Chinese medicines, prescriptions and the like with body resistance strengthening and dryness moistening effects, health product research and development and the like. An open model evaluation mode is adopted, and the higher the goodness of fit is, the closer the model to the northwest dryness syndrome type sub-health target model is. The northwest dryness syndrome type square domain dryness evil sub-health rat model is more suitable for arid region sub-health status research, and the northwest dryness syndrome type autumn cause dryness evil sub-health rat model is more suitable for autumn moistening health care research.

The invention belongs to the technical field of animal model construction, and discloses a construction method and application of a mouse encephaledema model. The construction method of the encephaledema model is simple and convenient to operate, simple and easy to repeat, stable in injury, high in success rate and low in death rate, and the encephaledema model can be obtained only by applying 0.4-0.6 W ultrasonic stimulation to the brain of an animal. Parameters can be adjusted according to actual needs, so that the damage degree is changed, the research purpose is met, and high controllability is achieved. The construction method provides a new research model for in-vivo research of the occurrence and development process and mechanism of encephaledema.

The invention discloses establishment and application of a humpback perch frontal bone tissue osteoblast line, and relates to the technical field of biology. The cell line is a humpback perch frontal bone tissue osteoblast line CAFBOB, the preservation number is CCTCC NO: C2025129, and the cell line is derived from a humpback perch juvenile fish frontal bone tissue and is established after tissue separation, primary culture by a dry pasting method, subculture and cryopreservation resuscitation. The biological characteristics are stable, 1-40 generations are mainly long fusiform, the chromosome karyotype is 2n = 48, strong alkaline phosphatase activity is achieved, the transfection efficiency is about 85%, and the activity is good after cryopreservation and resuscitation. The establishment method is high in repeatability, the obtained cell line can be used as an in-vitro research model and applied to morphological specialization mechanism analysis, osteogenesis-related gene function verification, classification dispute solution and seeding process research of the humpback perch, the blank of the bone tissue cell line of the humpback perch is filled, and the bone tissue cell line has important scientific research value and application prospect.

The application relates to an improved DS evidence theory method based on a liver disease consultation research model, which comprises the following steps: first, establishing a dispute table and a dialogue tree model for consultation, creating a recognition framework, and obtaining initial evaluation values of each node and rule relations and corresponding strengths between the nodes; obtaining evaluation values of each evidence node for a conclusion node according to a CEM matrix; in a fusion process, calculating Pignistic probability distances and conflict coefficients and synthesizing the conflict distances, and scaling the distances by considering conflict consistency degrees between evidence sources during the synthesis; second, calculating the credibility of each evidence source; and finally, weighting and averaging the evidence sources according to the credibility of each node to correct and fuse the evidence sources by using a traditional DS evidence combination rule to obtain final evaluation values of the nodes. In an example, the method can effectively solve the conflict problem without changing the DS combination rule, and has good anti-interference ability and convergence.

This invention provides a method and system for the transformation of scientific research results based on a large-scale research model of birth defects in children. It relates to the field of computer application technology within bioinformatics. The method involves performing correlation mapping on input research data on birth defects, generating a cross-data source data correlation network using the large-scale research model, and performing research discovery mining processing accordingly. This generates a package of research discovery mining results, which are then screened for transformation potential. A transformation potential screening report is generated by combining relevant biological knowledge bases and clinical translation rules. Based on the transformation goals that meet the screening criteria, a scientific research result transformation plan is generated. Finally, a scientific research result transformation implementation link is established based on the transformation plan, generating a transformation implementation plan and matching transformation tasks with clinical research institutions and scientific validation platforms. This ensures the smooth implementation of scientific research result transformation and improves transformation efficiency and success rate.

The application comprises a RAS gene cluster-based pediatric AML prognosis model construction method, which relates to the cross field of bioinformatics and medical technology. It comprises: S1: data acquisition and integration, standardization and integration processing of expression data; S2: sample typing, obtaining at least two subtypes with different prognoses; S3: prognosis model construction; S4: clinical correlation verification, constructing a visual prognosis evaluation system integrating risk stratification and clinical characteristics; S5: immune infiltration correlation verification, establishing the correlation between risk stratification and immune infiltration characteristics; S6: drug sensitivity correlation verification, determining the correlation between risk stratification and drug sensitivity; S7: key gene verification. The application realizes the precise risk stratification of pediatric AML patients by integrating RAS signal pathway gene characteristics and clinical data, and the prognosis model is verified by training set and verification set, which provides a standardized scientific research model framework and reliable data support, and provides an efficient auxiliary tool for pediatric AML related scientific research.

The invention relates to the technical field of GIS pipe bus flange monitoring, and discloses a multi-source fusion GIS pipe bus flange integrated monitoring method, system, device and medium, and the method comprises the steps: obtaining the multi-source operation monitoring data of a target GIS pipe bus flange, building a monitoring research model based on the multi-source operation monitoring data, and carrying out the multi-source operation monitoring data of the target GIS pipe bus flange; taking the monitoring research model as an intelligent agent, establishing a multi-source information fusion decision framework based on the intelligent agent, constructing a fusion algorithm, performing feature extraction and state judgment on the multi-source information fusion decision framework, and obtaining a comprehensive health state evaluation result of the GIS tubular bus flange. And the operation state of the GIS tubular bus flange can be comprehensively reflected. By establishing a multi-source information fusion decision framework and an optimal state recognition model, deep integration and analysis of multi-source data are realized, associated information among the data is mined, and the reliability and practicability of a monitoring result are improved.

This invention provides a method and system for updating a knowledge network, acquiring a multi-source collection of scientific research knowledge on pediatric oncology, encompassing structured and unstructured knowledge from multiple disciplines. It utilizes a large-scale scientific research model to align and integrate interdisciplinary knowledge, generating a pediatric oncology research knowledge network. Based on explicit associations, it generates queries and hypothesis-guided directions, constructs a multi-step interdisciplinary reasoning chain to uncover intrinsic connections, predicts potential biological mechanisms or treatment strategy optimization directions in pediatric oncology research, and supplements the knowledge network to complete dynamic updates. This invention achieves the organic integration and dynamic updating of pediatric oncology knowledge, ensuring the knowledge network remains synchronized with the latest research findings, thus improving research efficiency and promoting continuous progress in pediatric oncology research.

The invention relates to the technical field of charging facilities, and discloses a cloud-side cooperative control method, system and device for charging facilities and a medium, and the method can effectively solve the problems of uneven resource distribution, low control efficiency and the like of the charging facilities in the cloud-side cooperative control process. A charging facility cloud edge cooperative control research model is constructed, accurate modeling is performed on a charging process by using an objective function and constraint conditions, and a solid theoretical basis is provided for subsequent optimization control. According to the method, a Markov decision process framework is established, and a first improved algorithm including a dynamic normalization strategy and deterministic training is adopted for optimization, so that an optimal control strategy framework model can be quickly and accurately found, and the scientificity and effectiveness of a control strategy are improved.