43 results about "Research management" patented technology

The invention discloses an interdisciplinary scientific research potential assessment method based on a dynamic multi-modal knowledge graph, relates to the technical field of scientific research management and intelligence analysis, and aims at the dynamic requirements of college scientific research ecology by relying on an incremental assessment framework. Comprising the steps of multi-source data acquisition and incremental knowledge graph construction, time sequence trend identification, online and transfer learning optimization, scene simulation and multi-scene strategy verification and multi-modal data fusion. The map structure is updated in real time through concept drift detection and ontology extension, and emerging hotspots are identified by combining time sequence difference indexes such as citation acceleration and a cooperative network; and the accuracy and continuous iteration capability of the evaluation model are kept in multiple environments by means of online learning and a cross-domain migration strategy. Finally, potential evolution is quantified through scene simulation, strategy suggestions are output, the sensitivity to the cross domain is further enhanced with the assistance of multi-mode embedding, a closed-loop evaluation system from data to decision is formed, and college subject cross layout and resource allocation are assisted.

The invention discloses a high development potential academic entity identification and prediction method based on a heterogeneous graph Transform, and the method comprises the following steps: firstly constructing a heterogeneous information graph, representing multiple types of entities in an academic network through nodes, and representing the relation between the entities through edges; fusing structure embedding and semantic embedding of the nodes to generate a multi-modal initial feature vector; iteratively aggregating multi-hop neighbor information through a multi-layer heterogeneous graph Transform layer, dynamically learning weight and updating node representation to realize global feature aggregation; fusing multiple types of neighbor information of a target node based on cross-layer attention weighting, generating refined context features, and completing local background information aggregation; and finally, splicing the global node representation and the local context feature, and outputting the probability that the target entity becomes a high-development potential entity through a classifier. According to the method, the complex isomerism of the academic network can be effectively processed, the prediction precision is improved, and support is provided for scientific research management and the like.

The invention belongs to the technical field of wisdom education, and particularly relates to a teaching, research and training integrated wisdom education management system, which comprises a teaching management module used for acquiring the learning progress of students and the teaching progress of teachers, and dynamically generating a teaching plan by adopting an artificial intelligence algorithm based on the learning progress of the students and the teaching progress of the teachers; the teaching and research management module is used for an online precise teaching and research teaching platform based on cloud computing to obtain an optimized teaching plan; the training management module is used for comprehensively analyzing teaching and teaching and research result data of teachers by adopting a multi-modal data fusion technology, identifying advantages and deficiencies of different teachers and automatically generating a personalized training course system by applying an intelligent algorithm; and the adjusting module is used for constructing all-around teaching effect evaluation ecology, accurately judging teaching intervention effect and feeding back the teaching intervention effect. Through modular design of teaching management, teaching and research management, training management and adjustment modules, intelligent education management integrating teaching, research and training is realized.

The invention discloses a scientific and technological achievement full-life-cycle traceability tracking management system, and relates to the technical field of scientific research management, and the system comprises a data fusion collection module which is used for collecting data of all stages of a scientific and technological achievement full-life cycle, and carrying out the format conversion and protocol adaptation of the data; the safe and credible storage module is used for storing the collected data by adopting a mixed framework combining distributed storage and blockchain storage; the intelligent analysis and decision module is used for analyzing the stored data based on an artificial intelligence model, mining data values and generating decision suggestions; and the dynamic interaction application module provides visual achievement traceability query, real-time state monitoring, intelligent early warning and decision support functions for different user roles. A semantic mapping rule is dynamically learned by using a reinforcement learning algorithm through the adaptive protocol translation unit, a heterogeneous protocol is automatically adapted, and seamless joint of multi-source data is realized.

The invention discloses a hospital scientific research consumable purchase and financial system linkage settlement optimization method, and relates to the technical field of purchase management, and the method comprises the steps: collecting scientific research purchase data, building a scientific research purchase data incidence matrix model, and carrying out the automatic verification based on the submission of a consumable application, and calling the scientific research purchase data incidence matrix model, and completing the purchase. After purchasing is completed, a scientific research fund dynamic balance model is constructed to output fund change information; an account structure is monitored and adjusted by outputting fund change information, and scientific research purchase efficiency and risk assessment model output quantitative indexes are constructed. According to the method, the scientific research purchase data incidence matrix model, the scientific research fund dynamic balance model and the purchase efficiency and risk assessment model are constructed, so that real-time linkage of hospital scientific research consumable purchase and a financial system is innovatively realized. The intelligent verification, fund dynamic monitoring and risk quantitative analysis capabilities of the purchasing process are effectively improved, the reasonable fund structure is ensured, and the intelligent level of scientific research management is promoted to be comprehensively improved.

The invention provides an all-disease scientific research management platform and a control method thereof, and relates to the technical field of data management. Heterogeneous data of multiple preset sources is acquired, format conversion, preprocessing and integration are performed, multi-source integrated data is acquired, data pushing is performed on the multi-source integrated data, category pushing data is acquired, and the category pushing data is sent to a server; according to the constraint conditions of the disease database, carrying out incorporation and exclusion processing on each category of push data to obtain category data of the disease database; performing distributed storage and classified management of a plurality of function categories on the disease category library category data to obtain category management data, and further obtaining management push data of each function category; calculating a data push error coefficient, judging the error data of the push data according to the data push error coefficient, adjusting the preset constraint adjustment data according to the judgment result, and adjusting the push error data. According to the invention, the data integration efficiency can be improved, the disease database management can be optimized, and the data push accuracy can be improved.

The invention discloses a scholar subsidy project effect analysis method based on tendency score matching and double difference. The method comprises the following steps: acquiring and preprocessing scholar data from an academic database; and calculating academic indexes of the scholar in different years according to the unique identifier of the scholar so as to reflect academic output and influence. Screening out scholar samples of an experimental group accepting subsidization and a control group which is not accepted subsidization but has the same parallel trend; and constructing a double difference method regression model, comparing change differences before and after intervention, checking the significance of interaction items, and preliminarily evaluating the subsidy effect. And predicting the tendency score of the control group by using a deep learning model. A weighted least square method is adopted to fit a weighted double difference model, the final effect estimation of a subsidy project on a scholar is determined, and if a plurality of prognosis interaction items are significant, the subsidy generates significant academic influence. According to the method, the limitation of a traditional single causal inference technology is overcome, and high-credibility causal inference support is provided for a complex scientific research management scene.

The invention discloses an intelligent medical scientific research management platform and method, and belongs to the technical field of medical scientific research management, and the platform comprises a project collection unit, a scientific research personnel input module, a material auditing unit, a personnel screening module, a research direction integration sorting unit, a project application module, a marking module, and a review terminal. And the research direction integrating and sorting unit sorts the research directions of the researchers from large to small according to K1-i, a research direction set of each researcher is obtained, then a researcher integrated set is obtained, and a scientific research team is obtained through integration. By means of the mode, appropriate scientific research personnel can be intelligently selected from numerous scientific research personnel to form a superior scientific research team; the medical scientific research auditing program is ensured to accord with the specification, the manual auditing cost and time are reduced, the auditing efficiency is higher, and the medical scientific research management efficiency is improved.

The invention belongs to the technical field of artificial intelligence, and discloses a knowledge service management method and device fusing generative AI and enhanced retrieval. Comprising the steps of constructing a knowledge base for multi-source heterogeneous data fusion, deploying a dynamic task planning engine, executing a whole-process service, establishing an evaluation and feedback closed loop and the like. Wherein the whole-process service covers AI knowledge questions and answers, AI enhanced retrieval, AI intelligent research and reading, AI auxiliary creation and intelligent agent service, and through intention recognition, mixed retrieval, RAG enhancement, cue word engineering, Deep Research and other technologies, the whole-process run-through from accurate knowledge acquisition and deep content understanding to generative creation is realized. The problems that in the prior art, knowledge obtaining efficiency is low, literature processing intellectualization is insufficient, and scientific research processes are split are solved, a credible, controllable, processized and intellectualized closed-loop knowledge service system is constructed, the efficiency and innovation ability of scientific research work are remarkably improved, and the system is suitable for various academic research and scientific research management scenes.

1. The name of the design product: display screen panel with intelligent scientific research management integrated graphical user interface. 2. The use of the design product: for running programs, displaying information and interaction. 3. The design points of the design product: the interface content of the program running in the display screen. 4. The picture or photo that best indicates the design points: change state figure 1. 5. The use of the graphical user interface: for the interaction and display of information for project data management tracking by scientific research institution personnel. 6. The area of the graphical user interface in the product: in the display screen of the display screen panel. 7. The man-machine interaction mode of the graphical user interface: after entering the account password in the main view and clicking the "login" button, automatically jump to the "personal view" interface in the "message", enter the interface shown in change state figure 1; click the "leader view" button on the top of the interface in change state figure 1, enter the interface shown in change state figure 2; click the "to-be-approved items" button on the left of the interface in change state figure 2, enter the interface shown in change state figure 3; click the "batch approval" button on the top right of the interface in change state figure 3, enter the interface shown in change state figure 4; click the "applicant" button on the right of the interface in change state figure 4, enter the interface shown in change state figure 5; click the close button on the top right of the "select personnel" interface and the close button on the top right of the "filtering conditions" interface in change state figure 5, and click the "business type" button in the "business type" in the middle of the interface, enter the interface shown in change state figure 6; click the first item in the middle of the interface in change state figure 6, enter the interface shown in change state figure 7; click the "ordinary reimbursement approval" interface with the mouse wheel in change state figure 7, enter the interface shown in change state figure 8; click the "ordinary reimbursement approval" interface with the mouse wheel in change state figure 8, enter the interface shown in change state figure 9; click the "batch specified financial and accounting subject" button on the top of the "ordinary reimbursement approval" interface in change state figure 9, enter the interface shown in change state figure 10; click the "type" button on the top of the "accounting subject" interface in change state figure 10, enter the interface shown in change state figure 11; click the "detail" button on the top of the "accounting subject" interface in change state figure 11, enter the interface shown in change state figure 12; click the close button on the top right of the "accounting subject" interface in change state figure 12, and click the "ordinary reimbursement approval" interface with the mouse wheel, enter the interface shown in change state figure 13; click the "flowchart" button on the right of the "ordinary reimbursement approval" interface in change state figure 13, enter the interface shown in change state figure 14; click the close button on the top right of the "workflow" interface and the close button on the top right of the "ordinary reimbursement process" interface in change state figure 14, and click the "business type" button in the "business type" in the middle of the interface, enter the interface shown in change state figure 15; click the first item in change state figure 15, enter the interface shown in change state figure 16; click the "view project budget" button on the top right of the "project proposal (combined accounting account) approval" interface in change state figure 16, enter the interface shown in change state figure 17; click the close button on the top right of the "project budget details" interface in change state figure 17, and click the "application" button on the left of the interface, enter the interface shown in change state figure 18; click the "self-establishment scientific research project management" button on the left of the interface in change state figure 18, enter the interface shown in change state figure 19; click the "declaration form template" button in the "project declaration" in the interface in change state figure 19, enter the interface shown in change state figure 20;Click the seventh template "2024 Talent Award Application Form Template" button on the interface of the change state diagram 20, enter the interface shown in change state diagram 21; Click the "Basic Information" button above the "View Project Application Form Template" interface in change state diagram 21, enter the interface shown in change state diagram 22; Click the "Upload" button above the "View Project Application Form Template" interface in change state diagram 22, enter the interface shown in change state diagram 23; Click the "Upload" button above the "View Project Application Form Template" interface in change state diagram 23, enter the interface shown in change state diagram 24; Click the "Budget Table" button above the "View Project Application Form Template" interface in change state diagram 24, enter the interface shown in change state diagram 25; Click the close button in the upper right corner of the "View Project Application Form Template" interface in change state diagram 25, and click the "Procurement Business Management" button on the left side of the interface, enter the interface shown in change state diagram 26; Click the "Procurement Process Board" button in the "Process Board Management" of the interface in change state diagram 26, enter the interface shown in change state diagram 27; Click the "Schedule" button on the left side of the interface in change state diagram 27, enter the interface shown in change state diagram 28.

The invention relates to a scientific and technological paper competitiveness quantitative evaluation method fusing multi-dimensional academic indexes. Belongs to the field of academic evaluation and scientific research management. In order to solve the problem that a traditional evaluation method excessively depends on a single index and cannot comprehensively reflect the quality of scientific research achievements, a comprehensive evaluation framework including four dimensions of production, quality, influence and cooperation is provided. Through a dynamic weighted scoring algorithm, the method can achieve the flexible adjustment of the weight of each dimension according to the real-time data, and improves the accuracy and timeliness of evaluation. According to the method, by means of a logic growth function, a quality index model, a social influence score and the like, multi-dimensional quantitative evaluation is carried out on each thesis, and finally a comprehensive score is generated. In addition, an evaluation result is displayed by adopting a data visualization technology, so that a user can intuitively understand and apply the information. A scientific and objective evaluation tool is provided for scientific research personnel, academic institutions and review institutions, and effective development and innovation of scientific research work are promoted.

The invention discloses an AI-based scientific research project full life cycle management system, and relates to the technical field of project management. Aiming at the technical defects of non-standard data acquisition, low task cooperation efficiency, insufficient progress prediction precision and rigid resource configuration of the existing scientific research management system, the system creatively integrates three breakthrough algorithms of a causal atlas inference model, a deep reinforcement learning resource scheduler and a dynamic Bayesian achievement transformation prediction model; and a four-layer architecture of a data acquisition layer, an intelligent decision-making layer, an interactive execution layer and an iterative optimization layer is constructed, so that the whole-process intelligent and precise management and control of the scientific research project from project establishment to question settlement are realized. The system can improve the scientific research task cooperation efficiency by more than 42%, the progress prediction error is controlled within 3%, the resource utilization rate is improved by 30%, the achievement conversion success rate is improved by 25%, and the system is suitable for management of various scientific research projects of colleges, scientific research institutions and enterprise research and development departments.

The invention discloses a scientific research performance evaluation method. The method comprises the following steps: S1, constructing a scientific research performance evaluation index system; s2, establishing a dominant and non-dominant multi-dimensional evaluation system; s3, quantifying contribution degrees of dominant work and various non-dominant work indexes; s4, constructing an intelligent performance model; s5, training a performance evaluation model; and S6, performing incremental training on the performance evaluation model. The invention further discloses a scientific research performance evaluation system. According to the method, the multi-dimensional standard system integrating dominant and non-dominant work contributions is constructed, intelligent evaluation is performed by using the CNN model, the objectivity and accuracy of scientific research performance evaluation are improved, and the method can be widely applied to the technical field of scientific research management.

The invention discloses a project data processing method and system applied to a scientific research management system and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining a feature set corresponding to each piece of project data; calculating the feature weight of each feature vector in the feature set, which is linearly represented by other feature vectors, and obtaining a feature weight set formed by the feature weights of the feature vectors; constructing and forming a corresponding target set through feature weights which are not less than a preset value in the feature weight set; performing mapping on a target data matrix established by the target set by adopting PCA to obtain a construction data matrix formed by the feature construction set of each item data; calculating an abnormal score of each piece of data in the item data, and determining the data with the abnormal score not less than a threshold value as abnormal data; the data processing difficulty is reduced, residual data, abnormal data, repeated data and the like can be removed, related personnel can clearly know the scientific research process, and meanwhile the data processing aspect is more efficient.

A scientific research management system disclosed by the present invention comprises a data layer, a function layer, an application display layer and an application access layer, the data layer is used for storing and managing data information related to each module of a scientific research production system, and the function layer is used for realizing different functions of a scientific research project task management system. The application display layer is used for displaying data information through the Internet, the application access layer is used for managing the authority of a scientific research management system user, and the function layer comprises a field technology support management module and a personal workspace module. The on-site technical support management module is used for providing information query and information backup services for on-site technical support personnel and managing conference information, and the personal working space module is used for displaying personal working requirements and working states and realizing data sharing and sharing. The system provides information query and information backup services for field technical support personnel, enhances the timeliness and comprehensiveness of data, and realizes data sharing and sharing.

1. Name of the product in this design: Graphical User Interface of University Scientific Research Management System for Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: Used to display the interface information of the university's scientific research management system. 7. Description of the changing states of the graphical user interface: Design 1's main view is the graphical user interface for the homepage login; clicking the submit button on the Design 1 main view page will take you to the Design 1 interface changing state diagram 1; clicking the "Researchers" button on the Design 1 interface changing state diagram 1 will take you to the Design 1 interface changing state diagram 2; Design 2's main view is the graphical user interface for the homepage login; clicking the submit button on the Design 2 main view page will take you to the Design 2 interface changing state diagram 1; clicking the "User Management" button on the Design 2 interface changing state diagram 1 will take you to the Design 2 interface changing state diagram 2. 8. In the interface, x represents variable content, and the dotted lines in the interface are patterns.

The invention discloses a college scientific research process automation and intelligent decision-making system and method, and aims to solve the problem of college scientific research management. According to the method, various data such as scientific research achievements of teachers and student participation projects are collected through a multi-channel data interface, and a Bayesian probability model is used for cleaning and standardization processing. Data are stored by means of the block chain in combination with an RSA asymmetric encryption algorithm, and safety is guaranteed. And constructing a knowledge graph by applying a natural language processing technology and a Skip-gram model, and mining a scientific research relationship. And deeply analyzing data through a machine learning algorithm, and identifying project risks and opportunities. And personalized scientific research service recommendation is provided for teachers and students based on user preferences. A scientific research process is automatically generated and monitored, intelligent suggestions are provided for scientific research management decisions according to analysis results, resource allocation is optimized by integrating multiple factors, and intelligent and scientific development of scientific research management of colleges and universities is promoted.

The invention discloses a scientific research material full life cycle tracing and intelligent scheduling management and control method, and belongs to the technical field of scientific research management informatization. The method comprises the following steps: endowing each independent scientific research material with a unique tracing identifier, and creating a digital file bound with each independent scientific research material for continuously recording full life cycle data of the material; state information and operation events of the scientific research materials are automatically collected in all links of the life cycle of warehousing, storage, receiving, experimental use and final disposal of the scientific research materials, and are updated to corresponding digital archives in real time; and experimental operation data and experimental output data generated by the scientific research materials in the experimental process are acquired. According to the invention, a dynamic digital identifier along with the full life cycle of each independent material is created for each independent material, and the operation data and the result data of each independent material in the experiment process are automatically associated, so that a material entity-circulation state-experiment behavior-scientific research output full link and a structured data chain are systematically constructed in the field of scientific research management for the first time.

The present invention discloses an information leakage risk warning system and method for scientific research management, and relates to the technical field of electronic digital data processing. The information leakage risk warning system for scientific research management includes an initial risk assessment module, a real-time risk assessment module and a receiving risk assessment module. The present invention determines whether to make a personnel replacement reminder through the initial risk assessment module. If the personnel replacement reminder is not made, the first information leakage risk coefficient is obtained. Then the real-time risk assessment module determines whether to take transmission warning measures according to the obtained second information leakage risk coefficient and the risk assessment interval. Finally, the receiving risk assessment module determines whether to take receiving warning measures according to the obtained third information leakage risk coefficient and the receiving risk threshold when no transmission warning measures are taken, thereby improving the timeliness of the information leakage risk warning during the data transmission process, and solving the problem of untimely information leakage risk warning during the data transmission process in the prior art.

The invention provides a scientific research achievement data identification management system and method based on clustering analysis, and belongs to the technical field of scientific research management, and the method specifically comprises the steps: determining a verification processing method of a correlation degree evaluation model according to the data of nursing personnel in a scientific research management system and a clustering analysis result of submitted data of a target type file, performing verification processing on an evaluation analysis result of the correlation degree evaluation model based on a verification processing method, and when determining that the evaluation analysis result of the correlation degree evaluation model meets the requirement based on the verification processing result, determining the correlation degree of the scientific research file based on the correlation conditions of different target type files and the scientific research file and in combination with the deviation condition of the verification processing result. And an existing scientific research data identification management method is determined, so that the accuracy of a correlation degree evaluation result is ensured.

The invention belongs to the field of medical education training systems, and particularly relates to a nursing teaching and research room system and a teaching and research method thereof, and the system comprises a nursing teacher unit which is used for creating a nurse teaching and research training module and a teaching and research management auditing module, and receiving, judging and auditing training and teaching and research applications uploaded by a nurse unit; meanwhile, the system is also used for issuing teaching and research training contents including formulating teaching and research plans and teaching targets, managing teaching materials and uploading teaching resources; the nurse unit is used for receiving the teaching and research training content issued by the nursing teacher unit, providing the medical staff to participate in online nursing business examination, and carrying out nursing ward round and medical record discussion teaching and research application; meanwhile, the teaching management unit is also used for inquiring and downloading teaching materials and participating in online discussion and communication of the nursing teacher unit or other nurse units; the evaluation module is also used for evaluating the training correction result returned by the nursing teacher unit and sending the training correction result to the teaching and research result evaluation module; and the teaching and research result evaluation module is used for evaluating the received evaluation result of the nurse unit and generating an evaluation report to wait for the nurse and teacher unit to receive.

The invention belongs to the technical field of energy power, power plant technology and informatization management, and particularly relates to an autonomous research management method and system for supplying high-risk materials in a nuclear power scene. Comprising the following steps: creating a project by a user; operating an existing project by the user; reviewing a declarated project; and executing project research and development by the user. The method has the beneficial effects that (1) material research and development state separation: the project research and development state is influenced by the material research and development state, so that each material is separated from the project for independent statistics, the overall research state of the project can be accurately expressed, and accurate accompanying reference information is formed; (2) a project declaration fast channel: the autonomous research type project supplied with high-risk materials can be directly declarated through the system, and the declaration efficiency of the autonomous project is improved;

This invention discloses a method for evaluating the academic influence of researchers based on semantic mining and entropy weighting. It constructs a unique digital identity for researchers through knowledge graph alignment technology, connecting heterogeneous data from multiple sources; it extracts deep academic features using large-scale model semantic mining and graph neural network analysis; it promotes objective, multi-dimensional evaluation of researchers through a combination of entropy weighting, coupling coordination degree, and TOPSIS; it establishes an infectious disease transmission model and Prophet time-series prediction to achieve dynamic influence characterization; and it creates a self-learning closed-loop system through collaborative optimization and parameter evolution. Finally, it outputs a multi-dimensional profile and interpretable report of researchers, providing scientific decision support for research management.

The invention relates to the technical field of scientific research management evaluation, in particular to a college experiment technician performance assessment method based on improved ANP, comprising the following steps: S1, establishing a network structure model based on ANP for index content; s2, introducing a fuzzy theory, a TOPSIS model, an entropy weight method and a combined weighting method, and establishing an experimental technician performance assessment index weight calculation model based on improved ANP; and S3, designing a questionnaire, and calculating by using an index weight calculation model based on improved ANP to obtain an index weight distribution scheme. S4, performance assessment work of experimental technicians is carried out, a fuzzy linear transformation method is used for data statistics and analysis, and obtained data is a final performance assessment result; the problems that in the prior art, performance assessment index content is not comprehensive and systematic, experimental technicians are not assessed in a classified and post mode, relevance among indexes cannot be considered, subjective interference exists, and the weight calculation process is not scientific enough are solved.

The present invention relates to the technical field of archive management devices. Disclosed is an archive classification and management apparatus for scientific research management. The archive classification and management apparatus comprises an apparatus main body, a multi-level classified storage module, a paper-electronic association module, an intelligent management and control module and a main control unit, wherein the apparatus main body is of a cabinet structure, and the multi-level classified storage module, the paper-electronic association module and the intelligent management and control module are all integrated in the apparatus main body and are electrically connected to the main control unit; and the multi-level classified storage module is of a physical partition structure, the paper-electronic association module comprises an information identification component and an information read / write component, the intelligent management and control module comprises an identity verification component, an environment monitoring component, an operation recording component and a retrieval component, and the modules operate in coordination by means of the main control unit.

The invention provides a progressive voting method, device and equipment for hospital scientific research management and a medium, and belongs to the technical field of computers, and by receiving activity case information and review resource and rule information configured by an administrator terminal, a hierarchical management structure is constructed based on the activity case information; initiating multiple rounds of progressive voting tasks to the judge expert terminal; in each round of voting, voting data collected from the judge expert terminal are judged according to the review resources and rule information; according to the judgment result of the current round, whether the next round of voting is triggered or not is judged till the process is finished, and a voting result report is generated. According to the method, a hierarchical management structure is constructed, refined and structured management of scientific research honesty voting is achieved, and through five rounds of progressive voting tasks which are sequentially performed, the efficiency is improved; a complex scientific research dishonesty judgment process is decomposed into standardized and serialized steps, the defect that a traditional voting process is difficult to solidify is overcome, and systematicness and scientificity of a review process are improved.

Systems and methods for computer research management may include one or more processor(s) which receive a plurality of attributes generated according to an input. The processor(s) may generate, for each attribute, a plurality of content items. The processor(s) may generate, for each content item of the plurality of content items, serving criteria according to which to serve the plurality of content items, assign to each content item of the plurality of content items, a respective content item URL to cause a client device which is served content items to be redirected to a landing page URL. The processor(s)s may generate a landing page based on a content item that was interacted with, responsive to the interaction. The processor(s) may store, in one or more data structures, an association between the attribute, the content item, the landing page, and interactions of the user with the landing page.

This invention relates to the field of data fusion and discloses an artificial intelligence-based method for fusion processing of multi-source heterogeneous data in scientific research management. The method includes the following steps: real-time capture of change events from heterogeneous data sources in a scientific research management scenario; allocation of vector clocks to each change event to establish causal partial order relationships between the change events; incremental merging of the sorted change events into the current fusion baseline state according to conflict-free replication data type merging rules; control of the timeliness of the fusion baseline based on a probabilistic finite staleness model; re-sorting of compensation events for further merging; receiving query requests and returning query results. By real-time capture of change events from heterogeneous data sources and encapsulation into standardized objects, and by balancing storage overhead and query timeliness through versioned storage and a probabilistic finite staleness model, quasi-consistency maintenance of the fusion baseline relative to the actual state of the data sources and the perceptible and correctable drift are achieved.

The invention discloses an archive classification device for scientific research management, and relates to the technical field of scientific research archive classification. The file cabinet comprises a file cabinet body, a plurality of classification chambers are arranged in the file cabinet body, recording cameras are arranged in the classification chambers, cabinet doors and prompting lamps corresponding to the classification chambers are arranged on the outer side of the file cabinet body, and a control panel is arranged on one side of the file cabinet body. And a management system connected with the control panel, the input camera and the prompting lamp is arranged in the file cabinet body. According to the file cabinet, the management system is arranged in the file cabinet body, file information obtained by the input camera can be intelligently analyzed and stored, and when a user inputs file keywords to be searched or stored through the control panel, the management system can quickly retrieve the positions of the corresponding classification chambers and the storage frames, so that the file information can be quickly searched and stored. And the prompt lamp corresponding to the classification room is immediately turned on to guide the user to quickly position the target area.

The invention discloses a software development method based on an industry domain B end and a clinical research and scientific research management platform thereof on a development framework of a digital base and a non-business function state, and the method comprises the following steps: S1, creating software which is managed by the B end and executes specific functions, and setting basic management parameters; s2, creating an industry domain system D corresponding to software development; s3, creating a corresponding software domain scene architecture system X formed based on the industry domain D; s4, constructing a global framework based on the software domain scene architecture system X; s5, constructing a complex business level based on a software global framework page; s6, creating a page layout based on the complex business hierarchy; s7, creating general pages and special pages such as business forms, tables, cards and lists based on the page layout; s8, creating a business process based on business forms, tables, cards, listing and other use pages and special pages; and S9, an auditing step of creating general pages and special pages such as business forms, tables, cards and lists based on the business process.