10 results about "Research findings" patented technology

The invention provides a literature recommendation method and system in the clinical research field and a computer program product, and relates to the technical field of clinical research, and the literature recommendation method comprises the following steps: obtaining demand information input by a user; based on the demand information, a corresponding demand sub-specialized subject term is generated through a first large language model, and the demand sub-specialized subject term comprises a combination of one or more of a demand research field, a demand research direction, a demand research method and a demand research result of a sub-specialized level corresponding to the demand information; determining a matching degree between the required sub-specialized subject term and a literature sub-specialized subject term corresponding to the literature information, wherein the literature sub-specialized subject term comprises one or a combination of more of a research field, a research direction, a research method and a research result of a sub-specialized level corresponding to the literature information; and determining a literature recommendation list based on the matching degree.

A method for enhancing organizational development by identifying a target population within an organization and establishing a community science team of elite experts with experience in the target population's roles. The team collaborates to develop research products for a study, providing context and translation at all information touchpoints. The study is conducted using the research products to gather data about the target population, employing both qualitative and quantitative data collection methods. The gathered data is then used to inform changes in organizational practices, potentially leading to improved personnel development and overall organizational effectiveness. The method is applicable to various organizational settings, including military, governmental, and civilian industrial / commercial populations.

The invention discloses a domestic and overseas research and analysis system based on a large language model, and relates to the technical field of scientific research and analysis. Comprising an AI index system and a big language research and analysis model; the AI index system comprises a research development process index module and a related research achievement index module, and the large language research analysis model comprises a development process generation model and a research achievement architecture model; arranging development process contents through a development process generation model to generate a basic development process framework diagram; a related research result construction module is arranged on the development process framework diagram, and the indexed related research results and data are constructed on the development process framework diagram. Through the AI index system and the big language research and analysis model, the problems that existing analysis and research depend on summarization of professionals, and there is no more efficient and accurate analysis and research system are solved, efficient and accurate association combination and combination analysis of multiple fields can be achieved, and the problems that cross-field combination analysis is difficult and not high in precision are solved.

The application provides a research achievement computable verifiability evaluation method, system and electronic equipment, the method comprises the following steps: obtaining one or more research achievement data in a research achievement package, and generating a research achievement plan based on the research achievement data; pre-scanning modification and dependency installation are performed on a script set of verifiability targets in the research achievement plan; the verifiability target is the conclusion of the research achievement to be verified; in the case that the script execution in the script set fails, experience knowledge base is retrieved to obtain experience guidance debugging, and an execution summary is generated; the experience knowledge base is configured to evolve over time; and a computable verifiability score is calculated according to the execution summary, the research achievement original text and the script file. By introducing the experience knowledge base evolving over time, the experience guidance script debugging in the experience knowledge base is directly utilized, cross-research achievement experience accumulation and knowledge reuse are realized, and the scoring efficiency and accuracy 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.

We provide the system. [Solution] Means of collecting research information, A means of analyzing collected research information using natural language processing technology, A means of proposing a research process to the user based on the analyzed results, A means of providing learning materials to support the improvement of expertise for new users, A means of notifying expert users of the latest research results and technological trends, A means of recording users' technical knowledge and thought processes, and accumulating knowledge within the organization, A system that includes this.

The application discloses an oil-gas collaborative research implementation method and device based on minimum service units. The method comprises the following steps: generating a research task based on selected research object information and a selected service scene template; distributing the research task to researchers based on selected researchers; receiving research results of each minimum service unit reported by the researchers, and storing identification information of the minimum service units and corresponding research results; and integrating the research results of the minimum service units involved in the research task based on the identification information of the minimum service units, and generating a design scheme of a research object. Efficient collaborative research can be implemented, and a design scheme of a research object can be automatically generated.

The invention discloses a college achievement and enterprise demand bidirectional granularity alignment method based on a large model. The method comprises the steps that an original data set of college scientific research achievements is collected and processed; performing fine-grained technical point disassembly on the abstract in the processed data; technical points required by enterprises are disassembled; matching and aligning technical points based on double-path representation fusion; and carrying out matching reordering and recommendation output. According to the method, a unified five-level technology level framework is established, granularity alignment of university achievements and enterprise requirements under the same technical standard is realized, and the matching accuracy is greatly improved. By means of a large model and cue word engineering, achievement technical feature aggregation and demand disassembly are completed, a traditional manual processing mode is replaced, and the docking efficiency is remarkably improved. Through the steps of author clustering, multi-dimensional feature weighted sorting and the like, it is ensured that the recommendation result has technical relevance and also conforms to the practical application value, and an efficient solution is provided for industry-university-research collaborative innovation.

The present invention discloses a method for constructing an impact analysis and evaluation model, comprising collecting literature input variables; performing modeling and analysis using Altmetrics, an international influence proxy indicator, and academic citations as output variables; selecting the algorithm with the highest benchmark coefficient as the input algorithm for modeling grid parameter adjustment; using a feature importance evaluation model and comparing the contribution of each variable to the impact of the results; using a partial correlation graph to display the trend of the impact of each variable on the results, and combining the feature importance and partial correlation graph to comprehensively evaluate the impact of the results and output a result. By comparing the factors that have the greatest impact on academic citations with the factors that have the greatest impact on Almetrics, the present invention can effectively analyze the main sources of the international impact of research results and their influence methods, providing a more scientific and traceable analysis tool for the international impact assessment of research results.

This enables the provision of AI-powered systems, methods, and programs to streamline the process of handling clinical test requests and sharing pathology findings among multiple parties. [Solution] According to the present invention, by comparing the first report written by a medical professional with the second report written based on image data corresponding to the first report, it is possible to automatically verify whether the first report is correctly related to the requested examination and whether there are any typographical errors, omissions, or errors in the diagnostic content of the report, thereby providing a report writing efficiency system that streamlines the work related to reports written by medical professionals.