Multi-receptor multi-level chlorinated paraffin toxic effect database and visual expression system

Abstract

The invention particularly relates to a multi-receptor and multi-level chlorinated paraffin toxicity effect database and visual expression system. The multi-receptor and multi-level chlorinated paraffin toxicity effect database comprises a data storage module used for storing sorted chlorinated paraffin query data; the data preprocessing module is used for converting and filtering the data; the index creating module is used for carrying out preprocessing and word segmentation on the text and constructing an inverted index; the data retrieval module is used for quickly retrieving data meeting conditions from the index; the chlorinated paraffin accumulation degree module is used for generating and displaying an accumulation degree point diagram and an accumulation degree thermodynamic diagram of chlorinated paraffin in an organism; the biological lesion map module is used for dynamically generating and displaying a lesion map in the living body contacted with the chlorinated paraffin according to an experimental result; and the video visualization module is used for generating and displaying a toxic action mechanism network of the chlorinated paraffin. According to the method, the chlorinated paraffin toxicity data retrieval efficiency is remarkably improved, the toxic action mechanism is visually displayed, and a precise visual analysis tool is provided for toxicological research.

Description

Technical Field

[0001] The present invention relates to the technical field of database visualization, and in particular to a multi-receptor and multi-level chlorinated paraffin toxicity effect database and a visualization expression system. Background Art

[0002] As the wave of digitalization sweeps the globe, the internet has become the primary means for researchers to access information. However, with research data surging at an annual rate of 40%, and interdisciplinary research accounting for over 67%, traditional literature retrieval techniques are no longer able to meet the demands of modern research.

[0003] Current retrieval systems suffer from three significant flaws: First, the search dimension is limited, enabling only simple matching of surface metadata such as titles and authors; second, 90% of platforms are still stuck in the static list display stage, lacking interactive visualization capabilities; and finally, natural language processing technology lags behind, with most platforms still relying on basic word frequency statistics. During literature retrieval, researchers often spend considerable time switching between multiple specialized platforms, repeatedly adjusting keyword combinations, author selection, and timeframes to optimize search results. However, practice has shown that even after such cumbersome procedures, the resulting literature still exhibits a mismatch of approximately 30% between the desired research objectives, severely impacting both research efficiency and quality.

[0004] In view of this situation, it is particularly urgent and important to develop an efficient retrieval tool that can quickly lock relevant content and ensure that the searched content is absolutely accurate. Based on the above technical background, the present invention proposes a multi-receptor and multi-level chlorinated paraffin toxicity effect database and visualization expression system. This is an innovative data retrieval and analysis system, which mainly includes two core functional modules. The first module is a professional literature retrieval service, which provides users with research literature related to the biological toxicity effects of chlorinated paraffin. Users can enter keywords such as specific biological names (such as zebrafish, mice, etc.) through the data retrieval interface, and the system can accurately retrieve and present the research results of the toxic effects of chlorinated paraffin on the organism. The system uses intelligent recognition technology to quickly match the toxic effect literature of chlorinated paraffin on specific organisms in the database, significantly improving the accuracy and query efficiency of data retrieval. The second module is a toxic effect visualization service. The system can generate corresponding visualization models based on the toxic action mechanism of chlorinated paraffin. After the user selects the target organism, the model generation function can be triggered through simple operation instructions. The system will automatically output the visualization results of the toxic effect of chlorinated paraffin on the organism, which is specifically manifested as structural changes or changes in physiological functions in specific parts of the organism. The visual model is presented in the form of intuitive images or dynamic demonstrations, which helps researchers quickly understand and analyze the toxic effect characteristics of chlorinated paraffins. Summary of the Invention

[0005] To address the aforementioned technical issues of inaccurate and inadequate visualization support in existing search tools, a multi-receptor, multi-level database and visualization system for the toxic effects of chlorinated paraffins is provided. This invention utilizes specialized database construction techniques, precise semantic matching algorithms, and multimodal visualization model generation methods to significantly improve the accuracy and efficiency of literature retrieval on chlorinated paraffin toxicity. Dynamic visualization intuitively reveals toxic mechanisms, providing data and technical support for toxicology research.

[0006] The technical means adopted in the present invention are as follows:

[0007] The multi-receptor and multi-level chlorinated paraffin toxicity effect database and visualization expression system includes the following two subsystems:

[0008] Chlorinated Paraffin Toxic Effects Retrieval System, including:

[0009] A data storage module, used for storing the sorted chlorinated paraffin query data;

[0010] Data preprocessing module, used to convert and filter data, extract keywords, and convert English to Chinese;

[0011] The index creation module is used to apply full-text indexing technology to preprocess and segment text, build an inverted index, and store the processed text;

[0012] The data retrieval module is used to receive the user's search request and quickly retrieve the data that meets the conditions from the index;

[0013] The result display module is used to display the search results in text form and provide links to jump to the original platform of the data source;

[0014] Visual model generation system, including:

[0015] The chlorinated paraffin accumulation module is used to extract the chlorinated paraffin accumulation information of biological structures from chlorinated paraffin-related articles, and generate and display the accumulation degree dot plot and accumulation degree heat map;

[0016] The biological pathology map module is used to extract pathological data and tissue sections from articles related to chlorinated paraffins and analyze the tissue sections. Based on the quantitatively graded pathological data and analyzed tissue sections, it generates and displays a pathology map in the organism.

[0017] The video visualization module is used to extract toxic effect factors in organisms based on articles related to chlorinated paraffins, and generate and display video visualization content of the toxic effect mechanism network of chlorinated paraffins based on the toxic effect factors in organisms. The toxic effect factors include compounds, metabolic enzymes and biomarkers.

[0018] Furthermore, the chlorinated paraffin accumulation degree module colors the structures in the organism according to the different accumulation degrees of chlorinated paraffin in the structures in the organism and according to a preset color marking rule, thereby generating an accumulation degree heat map.

[0019] Furthermore, the video visualization content shows the molecular mechanism and biological effects of the toxic effects of chlorinated paraffin.

[0020] Furthermore, the workflow of the chlorinated paraffin toxicity effect retrieval system is as follows:

[0021] S101 obtains the query content from the user, and classifies the query content according to established rules, generates sorted chlorinated paraffin query data, and stores the sorted chlorinated paraffin query data in the data storage module;

[0022] S102. The sorted chlorinated paraffin query data is input into a data preprocessing module, the sorted chlorinated paraffin query data is filtered and converted to obtain keyword data;

[0023] S103. Input the keyword data into the index creation module, process the keyword data, segment the processed keyword data, generate several meaningful words, construct an inverted index based on the several meaningful words, and construct a global inverted index table;

[0024] S104. Inputting the global inverted index table into the data retrieval module, searching for chlorinated paraffin articles in the toxic effects retrieval database of chlorinated paraffins;

[0025] S105. Sort the found chlorinated paraffin articles and construct chlorinated paraffin related articles;

[0026] S106. Send the articles related to chlorinated paraffin to the result display module.

[0027] Furthermore, the processing of keyword data includes:

[0028] Filter out redundant and meaningless content in the text and extract key information;

[0029] Automatically convert the English text entered by the user into Chinese to facilitate user understanding and query.

[0030] Furthermore, the system also includes a user interface module, which supports users to input query requests through natural language and provides options for users to view pictures, videos and article summaries.

[0031] Furthermore, the working method of the system includes:

[0032] Construct a chlorinated paraffin toxicity effect retrieval database, input the query content into the chlorinated paraffin toxicity effect retrieval database, and obtain chlorinated paraffin related articles;

[0033] Constructing a visualization model, wherein the visualization model includes a chlorinated paraffin accumulation degree module, a biological pathology map module, and a video visualization module;

[0034] The chlorinated paraffin accumulation module extracts information on the accumulation of chlorinated paraffins in biological structures from articles related to chlorinated paraffins, and generates an accumulation degree dot graph and an accumulation degree heat map based on the accumulation degree information of the chlorinated paraffins in biological structures.

[0035] The biological pathology map module is based on articles related to chlorinated paraffin, extracts pathological data and tissue sections from the articles related to chlorinated paraffin, conducts quality assessment on them, quantitatively grades the pathological data that meets the assessment criteria, and simultaneously analyzes the tissue sections. Based on the quantitatively graded pathological data and the analyzed tissue sections, a pathology map of the organism is generated;

[0036] The video visualization module extracts toxicity factors in vivo based on relevant articles on chlorinated paraffins, and generates video visualization content of the toxicity mechanism network of chlorinated paraffins based on the toxicity factors in vivo, wherein the toxicity factors include compounds, metabolic enzymes and biomarkers;

[0037] Output chlorinated paraffin related articles, accumulation degree dot graphs corresponding to chlorinated paraffin related articles, accumulation degree heat map corresponding to chlorinated paraffin related articles, pathological maps in organisms corresponding to chlorinated paraffin related articles, and video visualization content of the toxic action mechanism network of chlorinated paraffin.

[0038] Compared with the prior art, the present invention has the following advantages:

[0039] 1. The multimodal visualization model generation system provided by the present invention, through the combination of the AOP (Adverse Outcome Pathway) framework and dynamic image rendering technology, realizes an intuitive display of the toxic mechanism of chlorinated paraffin, helping researchers to quickly understand the key nodes and biological effects in the toxicity pathway, and lowering the threshold for understanding complex toxicity data.

[0040] 2. The intelligent retrieval system based on the chlorinated paraffin toxicity effect database provided by the present invention, through the combination of natural language processing (NLP) technology and semantic expansion algorithm, realizes accurate understanding and efficient matching of user query intentions, significantly improves the accuracy and response speed of literature retrieval, and solves the problems of large deviation and low efficiency of traditional retrieval tools.

[0041] Based on the above reasons, the present invention can be widely promoted in the fields of database visualization and the like. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 Schematic diagram of the working method of the multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system of the present invention.

[0044] Figure 2 Schematic diagram of the process of the chlorinated paraffin toxic effect retrieval system in Example 1 of the present invention.

[0045] Figure 3 This is a schematic diagram of the composition of the visualization model system in Example 2 of the present invention. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0047] The present invention provides a multi-receptor, multi-level database and visualization system for the toxic effects of chlorinated paraffins, which includes the following two subsystems:

[0048] Chlorinated Paraffin Toxic Effects Retrieval System, including:

[0049] Data storage module, which is used to store the sorted chlorinated paraffin query data. Specifically, it mainly undertakes the task of storing chlorinated paraffin data, and its specific storage process is as follows: First, the system receives the chlorinated paraffin data imported manually, which are presented in the form of EXCEL tables or WORD documents, and all originate from the summary content after manually reading relevant articles on chlorinated paraffins. Subsequently, the system starts the text content recognition program to read the data in the imported text and accurately identify the category to which the data belongs. Immediately afterwards, the system classifies the text according to established rules, and the classification dimensions cover chlorinated paraffin types, exposure objects, exposure routes, exposure concentrations, pretreatment methods, etc. After completing the above steps, the system finally stores the sorted data properly.

[0050] Data preprocessing module, which is used to convert and filter data, extract keywords, and convert English to Chinese. Specifically, this module mainly converts data. After the system stores the text in the storage module, first, the system filters and converts the content of each unit stored. The system filters out the redundant content in the text and converts the sentences into more concise keywords. For example, if the text in the storage module is "SCCP causes liver lesions in mice. Compared with the control group, the cell nucleus becomes smaller, the mitochondria show folds, the inner wall is concave, and the mitochondrial function changes.", after the system filters and converts, the remaining keywords are "liver lesions, abnormal cell nucleus". Secondly, the text conversion function of the system can automatically convert the English input by the user into Chinese. For example, if the user inputs "Chlorinated Paraffins, SCCP,", the system can recognize that the user input is "chlorinated paraffins, short-chain chlorinated paraffins".

[0051] Index creation module, which is used to apply full-text indexing technology to preprocess the text, segment words, construct an inverted index, and store the processed text. Specifically, this module mainly applies full-text indexing technology. First, preprocess the text to remove stop words and punctuation marks in the sentences and remove words without practical meaning in the text, such as "of", "is", etc. Secondly, use a word segmenter to segment the text, cut the text into meaningful words, and form a vocabulary list. Thirdly, construct an inverted index, and construct a vocabulary table for all unique words in the document processed by the word segmenter. Each word has a unique identifier (termID), forming a global termStr-termID dictionary. Traverse each document, and for each keyword in the document, map it to the unique identifier of the document (document ID). The inverted list records all document IDs (and other information, such as word frequency, position, etc.) corresponding to each keyword. Finally, merge the inverted lists of each block to form a global inverted index. Finally, store the processed text.

[0052] The data retrieval module is used to receive user retrieval requests and quickly retrieve qualified data from the index.

[0053] The Results Display module displays search results in text format and provides links to the original data source. Specifically, this module provides a visual window for the system's retrieved and stored data, clearly presenting the search results to the user in text form. On this page, users can simply click on the output data item to trace the specific source of the data. Furthermore, by clicking on the provided link, the system will automatically guide users to the original data source platform, greatly facilitating in-depth reading and reference of the original article.

[0054] Visual model generation system, including:

[0055] The chlorinated paraffin accumulation degree module is used to generate and display dot plots and heat maps of the accumulation degree of chlorinated paraffins in organisms. This module intuitively displays the accumulation level of chlorinated paraffins in various organs or tissues in the experimental organism. The module divides the accumulation degree into four levels and uses differentiated color labels: when the accumulation concentration is lower than 7.0μg / g dry weight (dw), the corresponding organ or tissue is marked in blue; when the accumulation concentration is between 7.0-14.0μg / g dry weight (dw), it is marked with light yellow; when the accumulation concentration is between 14.0-21.0μg / g dry weight (dw), it is indicated in orange; when the accumulation concentration exceeds 21.0μg / g dry weight (dw), the relevant tissue or organ will be marked in a striking red. This multi-level color coding system not only makes it easy for users to quickly identify different accumulation levels, but also provides researchers with intuitive data analysis support.

[0056] The biological pathology map module is used to dynamically generate and display pathology maps in organisms after exposure to chlorinated paraffins based on experimental results. For example, the system can present typical pathological changes such as thyroid enlargement and loose cell nuclear structure in mice caused by exposure to short-chain chlorinated paraffins. The image generation of this module mainly relies on chlorinated paraffin toxicology experimental data across the entire network, and the data sources include authoritative academic platforms such as Science and CNKI. The system systematically collects, organizes and analyzes the experimental data in these documents, and after professional image processing, stores the standardized results in the system's data storage module. This image generation mechanism based on experimental evidence not only ensures the scientific nature and reliability of the data, but also provides researchers with an intuitive reference for pathological changes.

[0057] The video visualization module is used to generate and display the toxic mechanism network (Adverse Outcome Pathway, AOP) of chlorinated paraffins, and to display the molecular mechanism and biological effects of the toxic effects of chlorinated paraffins through a professional artificially constructed network map. The AOP network is professionally constructed and converted into a visual network map, which systematically integrates existing research results into a complete logical sequence. Specifically, the network starts from the molecular initiating event (MIE), through the series connection of key events (Key Events), and finally establishes an association with the adverse consequences (AO) at the biological tissue level, thereby clearly demonstrating the molecular mechanism and biological effects of the toxic effects of chlorinated paraffins. This AOP network can not only help users deeply understand the toxic mechanism of chlorinated paraffins, but also provide a scientific basis for predicting the potential biological effects of chemical exposure. Through intuitive visualization, researchers can quickly grasp the key nodes and pathways of toxic effects, providing an important reference for risk assessment and toxicity prediction.

[0058] Specifically, the main workflow of the chlorinated paraffin accumulation module includes:

[0059] During the data collection and extraction stage, literature was screened through databases such as PubMed / CNKI to extract key parameters such as biological sample type, exposure concentration, and tissue distribution.

[0060] During the visualization generation stage, Plotly.js was used to generate a dot plot (X-axis: exposure time; Y-axis: log10 concentration, with a color scale to distinguish the degree of chlorination), and a heat map was constructed based on D3.js (rows and columns corresponded to tissue types and species, respectively, and the color scale showed the contamination gradient).

[0061] Specifically, the main workflow of the biological pathology map module includes:

[0062] Pathological data were extracted and quantitatively graded using UMLS MetaMap, and tissue sections were analyzed using ImageJ to construct a 3D lesion map (such as liver macular markers and glomerular granular protrusions). A dose-effect matrix was established and significant lesion areas were highlighted (p<0.05), generating an in vivo lesion map.

[0063] Specifically, the main workflow of the video visualization module includes:

[0064] Based on articles related to chlorinated paraffins, a video visualization of the toxic mechanism network of chlorinated paraffins was generated. The nodes of the toxic mechanism network were designed as red octagonal nodes representing CPs compounds, blue circular nodes representing metabolic enzymes (such as CYP450), and green rectangular nodes identifying biomarkers (such as ALT). The dynamic demonstration was designed as a 0-5 second digestive tract absorption pathway, a 6-15 second liver microsomal metabolism flashing effect, and a 16-30 second oxidative stress pathway diffusion. Finally, a GIF preview and a 4K video with subtitles were output.

[0065] Furthermore, the chlorinated paraffin accumulation degree module colors the structures in the organism according to the different accumulation degrees of chlorinated paraffin in the structures in the organism and according to a preset color marking rule, thereby generating an accumulation degree heat map.

[0066] Furthermore, the video visualization content shows the molecular mechanism and biological effects of the toxic effects of chlorinated paraffin.

[0067] Furthermore, the workflow of the chlorinated paraffin toxicity effect retrieval system is as follows:

[0068] S101 obtains the query content from the user, and classifies the query content according to established rules, generates sorted chlorinated paraffin query data, and stores the sorted chlorinated paraffin query data in the data storage module;

[0069] S102. The sorted chlorinated paraffin query data is input into the data preprocessing module, the sorted chlorinated paraffin query data is filtered and converted to obtain keyword data;

[0070] S103. Input the keyword data into the index creation module, process the keyword data, segment the processed keyword data, generate several meaningful words, construct an inverted index based on the several meaningful words, and construct a global inverted index table;

[0071] S104. Inputting the global inverted index table into the data retrieval module, searching for chlorinated paraffin articles in the toxic effects retrieval database of chlorinated paraffins;

[0072] S105. Sort the found chlorinated paraffin articles and construct chlorinated paraffin related articles;

[0073] S106. Send the articles related to chlorinated paraffin to the result display module.

[0074] Furthermore, the keyword data is processed, including:

[0075] Filter out redundant and meaningless content in the text and extract key information;

[0076] Automatically convert the English text entered by the user into Chinese to facilitate user understanding and query.

[0077] Furthermore, chlorinated paraffin articles are searched in the chlorinated paraffin toxic effect retrieval database, specifically: articles related to the keywords in the natural language are retrieved from several articles, the matching degree between the articles and the natural language is detected, and the system obtains articles with high matching degrees to obtain the found chlorinated paraffin articles.

[0078] Furthermore, in step S105, the default sorting is to sort according to the strength of the article relevance; there are two sorting types: ascending and descending; the user can select the required sorting type according to actual needs; in addition, the user can also choose to sort according to the strength of the impact factor and the order of article publication.

[0079] Furthermore, the result display module displays the search results in text form and provides a link to jump to the original platform of the data source.

[0080] like Figure 1 As shown, the working method of the system includes:

[0081] Construct a chlorinated paraffin toxicity effect retrieval database, input the query content into the chlorinated paraffin toxicity effect retrieval database, obtain chlorinated paraffin related articles, and the query content includes chlorinated paraffin information;

[0082] Constructing a visualization model, which includes a chlorinated paraffin accumulation degree module, a biological pathology map module, and a video visualization module;

[0083] The chlorinated paraffin accumulation module is based on chlorinated paraffin-related articles. It extracts the chlorinated paraffin accumulation information of biological structures from the chlorinated paraffin-related articles and generates accumulation degree dot graphs and accumulation degree heat maps based on the chlorinated paraffin accumulation information of biological structures.

[0084] The biological pathology map module is based on articles related to chlorinated paraffins. It extracts experimental results from these articles and generates a pathology map in the organism based on the experimental results.

[0085] A video visualization module generates video visualization content of the toxic mechanism network of chlorinated paraffins based on relevant articles about chlorinated paraffins;

[0086] Output chlorinated paraffin related articles, accumulation degree dot graphs corresponding to chlorinated paraffin related articles, accumulation degree heat map corresponding to chlorinated paraffin related articles, pathological maps in organisms corresponding to chlorinated paraffin related articles, and video visualization content of the toxic action mechanism network of chlorinated paraffin.

[0087] Furthermore, the system also includes a user interface module, which supports users to input query requests through natural language and provides options for users to view pictures, videos and article summaries.

[0088] The present application relates to a basic information query system for chlorinated paraffins, which mainly includes three core modules: a basic information query module for short-chain chlorinated paraffins, a basic information query module for medium-chain chlorinated paraffins, and a basic information query module for long-chain chlorinated paraffins. According to the current research status, there are significant differences in the research depth of short-chain, medium-chain and long-chain chlorinated paraffins, so the classification and content distribution of each module are also different. Among them, the research literature on short-chain chlorinated paraffins is the most abundant, and the number of related biological toxicity research articles ranks first; the research on medium-chain chlorinated paraffins is second; and the research on long-chain chlorinated paraffins is relatively small. During use, users can quickly locate and select the type of chlorinated paraffin they need to query through the clear directory structure provided by the system, thereby efficiently obtaining relevant information.

[0089] Compared with other search engines, this database has the following unique features:

[0090] (1) Image output function

[0091] After typing in the keywords, the system will present an article page with a convenient image display function on the left side. If the user does not need to browse the image at the moment, just tap the image hide icon and the image will be hidden immediately; and when the user wants to view the image again, just cancel the image hide function and the image will be restored to the left side of the page and restored to its visible state. It is worth noting that the images in this database are in visible mode by default. In contrast, other search engines do not directly display images on their introduction pages. If users want to browse the images in these search engines, they need to click on the relevant links and jump to other interfaces to view the images.

[0092] (2) Data visualization function

[0093] The database imports organized and summarized images. For example, when users click on the visualization module, they see an image of mouse eyes marked red, showing damage caused by chlorinated paraffin. A brief description of the marked area is also provided. For example, if chlorinated paraffin causes retinal damage and decreased vision in mice, a text box will briefly explain this in the image. In contrast, other search engines do not provide such a systematic overview of biological toxicity.

[0094] (3) Article introduction function

[0095] This database innovatively uses a structured data output mode to directly extract and present the core content of the article, mainly including key information such as exposure substances, exposure subjects, exposure concentrations, exposure methods, experimental equipment and toxic effects. Unlike traditional search engines that only provide article abstracts, this database clearly presents the above content in a point-by-point format, making it easier for users to quickly locate and filter information. Especially when dealing with complex query requirements and returning a large number of results, traditional abstract reading methods often take a long time. However, this database uses structured content display to enable users to quickly grasp the main points of the article based on keywords, significantly reducing information screening and reading time, thereby greatly improving scientific research efficiency.

[0096] (4) Chlorinated paraffin information display function

[0097] The database includes a dedicated module summarizing basic information on chlorinated paraffins, including key data such as melting point and boiling point. Unlike other search engines, users must carefully read numerous articles to access this information. While basic information on chlorinated paraffins can be found on other websites, such as ChemNet, these websites have limitations. For example, users must search for each substance individually, preventing them from viewing basic information on multiple substances simultaneously. However, this module of the database comprehensively displays basic information on all chlorinated paraffin types, allowing users to easily access relevant data on different types of chlorinated paraffins on the same page. This module greatly facilitates users, enabling them to quickly and comprehensively access basic information on chlorinated paraffins, effectively improving search efficiency.

[0098] Example 1

[0099] This embodiment provides a chlorinated paraffin toxicity effect retrieval system, such as Figure 2 As shown, the specific operating steps are:

[0100] S101. Obtain the query content from the user, classify the query content according to established rules (including processing mixed Chinese and English input, automatically converting English to Chinese), generate structured chlorinated paraffin query data and store it in the storage module;

[0101] S102. The query data is input into the preprocessing module to perform data cleaning: filtering redundant content (such as HTML tags, special symbols, etc.), extracting key information, completing the standardization conversion of Chinese and English terms, and finally outputting normalized keyword data;

[0102] S103. In the index creation module, the keyword data is deeply processed: NLP technology is used to identify professional terms and segment Chinese words, generate a word set with domain characteristics, and construct a global inverted index table containing metadata such as word position and weight;

[0103] S104. Using the data retrieval module, perform multi-dimensional matching in the toxic effects database: combine the inverted index to calculate the keyword-document matching degree (including TF-IDF weight analysis), and use a combination of Boolean search and vector space model to screen for chlorinated paraffin research literature with a matching degree above a threshold;

[0104] S105. Build a sorting engine: By default, the ranking is in descending order of relevance score, and user-defined sorting strategies (including ascending / descending order, impact factor sorting, and publication date sorting) are supported. Dynamic adjustment of multi-dimensional sorting indicators is achieved through a configurable weight algorithm.

[0105] S106. In the result display module, the search results (including title, abstract, and key indicators) are presented in the form of structured text. Each result is attached with an original text link to achieve cross-platform jumps, and a sorting parameter interactive interface is provided for users to adjust the display order in real time.

[0106] The search system intelligently identifies natural sentences containing pre-defined biological terms (e.g., "zebrafish" or "human liver cells") to achieve precise search results. These terms serve as identifiers for biological terms, precisely limiting the scope of search results. When a user's input contains such biological terms, a targeted search mechanism is automatically triggered, filtering and returning all relevant documents matching the biological terms from the database, ensuring highly relevant and accurate search results.

[0107] Example 1 of the present application provides an intelligent data query system for the toxic effects of chlorinated paraffin, which can accurately locate and efficiently retrieve relevant research literature, significantly improving the accuracy and reliability of data queries. This system innovatively solves the problems of insufficient precision and redundant results in the literature retrieval process of traditional search engines. By integrating intelligent recognition and semantic analysis technology, it optimizes the user's query experience. The system can provide users with more highly relevant research information in a shorter time, effectively improving the efficiency of scientific research work.

[0108] In addition, users have the flexibility to add additional search options within designated areas of the page for more precise article searches. For example, users can further refine their search requirements by specifying that the search article must have an impact factor greater than 8. The system will intelligently filter based on this impact factor and only display articles that meet this restriction, ensuring that users only retrieve high-impact research results.

[0109] In this application, we not only provide a filter function for articles, but also thoughtfully design a function that allows users to click on the article link to directly access the corresponding magazine website. This design not only greatly facilitates users to obtain full-text content, but also allows users to easily browse other related articles on the magazine platform where the article is published, further broadening their reading horizons and access to information.

[0110] In summary, the chlorinated paraffin toxicity database query method proposed in Example 1 of this application achieves significant breakthroughs in multiple dimensions through its innovative technical architecture and intelligent retrieval mechanism. First, the system employs precise semantic recognition and classification algorithms, significantly improving the accuracy of query results. Second, its modular design enhances the system's scalability and flexibility, enabling it to adapt to diverse query needs. This solution provides efficient and reliable technical support for scientific research in related fields and has significant innovative significance and application value.

[0111] Example 2

[0112] This embodiment is based on the chlorinated paraffin toxicity effect retrieval system proposed in Example 1, and proposes a visualization model system, such as Figure 3 As shown, the specific operating steps are:

[0113] Constructing a visualization model, which includes a chlorinated paraffin accumulation degree module, a biological pathology map module, and a video visualization module;

[0114] The chlorinated paraffin accumulation module extracts information on the accumulation of chlorinated paraffins in biological structures from the chlorinated paraffin-related articles obtained in Example 1, and generates an accumulation degree dot plot and an accumulation degree heat map based on the accumulation degree information of the chlorinated paraffins in biological structures.

[0115] The biological pathology map module extracts experimental results from the chlorinated paraffin-related articles obtained in Example 1 and generates a pathology map in the organism based on the experimental results.

[0116] A video visualization module, based on the chlorinated paraffin related articles obtained in Example 1, generates video visualization content of the toxic action mechanism network of chlorinated paraffin;

[0117] Output the accumulation degree dot graph corresponding to the articles related to chlorinated paraffin, the accumulation degree heat map corresponding to the articles related to chlorinated paraffin, the pathological map in the organism corresponding to the articles related to chlorinated paraffin, and the video visualization content of the toxic action mechanism network of chlorinated paraffin.

[0118] In this embodiment, users can easily input their query requirements in natural language through the user query interface carefully built by the system (whether it is a web version or a command line interface). For example, the user only needs to enter "construct a toxic effect model of short-chain chlorinated paraffins on zebrafish", and the system will respond immediately and generate visual images or animated videos of the accumulation and degradation of chlorinated paraffins in zebrafish and their final effects on organisms. Users can freely choose to view the type of images or videos according to their specific needs. Through these intuitive visual presentations, users can gain an in-depth understanding of the dynamic changes of chlorinated paraffins in organisms, including their accumulation, degradation, and the specific effects of chlorinated paraffins on organisms.

[0119] In this system, chlorinated paraffins, specifically short-chain chlorinated paraffins, medium-chain chlorinated paraffins and long-chain chlorinated paraffins, are set as default query substances. When the user does not explicitly indicate whether the query is short-chain, medium-chain or long-chain chlorinated paraffins, the system will automatically output the models of these three types of chlorinated paraffins. If the user wants to obtain the model of a specific substance alone, there are two methods to choose from. The first method is that the user directly emphasizes the required substance when entering the natural language query. For example, enter "Generate a toxic effect model of short-chain chlorinated paraffin on zebrafish", and the system will then generate a biological toxic effect model of short-chain chlorinated paraffin on zebrafish. The second method is that after the user enters the natural language query "Toxic effect model of chlorinated paraffin on zebrafish", the system will first generate a model covering the three types of chlorinated paraffins. Subsequently, the user can easily select and obtain the model of the category they need through the interface options provided by the system.

[0120] Example 3

[0121] In Example 1, the system also has a Chinese-English derivative word search function, that is, when the user enters a keyword, the system can match the derivative words of the words in the article. The following steps are included:

[0122] Obtain natural language from users; the system segments and cuts sentences; and performs keyword matching.

[0123] For example, when a user types the keyword "mouse", the word processor will quickly start to perform meticulous word segmentation and trimming on the text entered by the user, accurately eliminating those words that have no practical meaning. Subsequently, the system will perform efficient keyword matching operations and successfully retrieve articles containing the following related words: Chinese expressions such as "mouse", "rat", "rat", and their corresponding English words "mouse" and "rat" (although "rat" usually refers to rat, it is also considered a relevant match in this context), in addition to "mice" (the plural form of mouse) and "ratton" (although they are not standard English words, they may be taken into consideration due to spelling errors or specific contexts, assuming that the system has a certain degree of fault tolerance).

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-receptor, multi-level database and visualization system for the toxic effects of chlorinated paraffins, characterized by: It includes the following two subsystems: Chlorinated Paraffin Toxic Effects Retrieval System, including: A data storage module, used for storing and sorting chlorinated paraffin query data; Data preprocessing module, used to convert and filter data, extract keywords, and convert English to Chinese; The index creation module is used to apply full-text indexing technology to preprocess and segment text, build an inverted index, and store the processed text; The data retrieval module is used to receive the user's search request and quickly retrieve the data that meets the conditions from the index; The result display module is used to display the search results in text form and provide links to jump to the original platform of the data source; Visual model generation system, including: The chlorinated paraffin accumulation module is used to extract the chlorinated paraffin accumulation information of biological structures from chlorinated paraffin-related articles, and generate and display the accumulation degree dot plot and accumulation degree heat map; The biological pathology map module is used to extract pathological data and tissue sections from articles related to chlorinated paraffins and analyze the tissue sections. Based on the quantitatively graded pathological data and analyzed tissue sections, it generates and displays a pathology map in the organism. The video visualization module is used to extract toxic effect factors in organisms based on articles related to chlorinated paraffins, and generate and display video visualization content of the toxic effect mechanism network of chlorinated paraffins based on the toxic effect factors in organisms. The toxic effect factors include compounds, metabolic enzymes and biomarkers.

2. The multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system according to claim 1, characterized in that: The chlorinated paraffin accumulation degree module performs color marking on the structures in the organism according to the different accumulation degrees of chlorinated paraffin in the structures in the organism and in accordance with preset color marking rules, thereby generating an accumulation degree heat map.

3. The multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system according to claim 1, characterized in that: The video visualization content shows the molecular mechanism and biological effects of the toxic effects of chlorinated paraffins.

4. The multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system according to claim 1, characterized in that: The workflow of the chlorinated paraffin toxicity effect retrieval system is as follows: S101 obtains the query content from the user, and classifies the query content according to established rules, generates sorted chlorinated paraffin query data, and stores the sorted chlorinated paraffin query data in the data storage module; S102. The sorted chlorinated paraffin query data is input into a data preprocessing module, the sorted chlorinated paraffin query data is filtered and converted to obtain keyword data; S103. Input the keyword data into the index creation module, process the keyword data, segment the processed keyword data, generate several meaningful words, construct an inverted index based on the several meaningful words, and construct a global inverted index table; S104. Inputting the global inverted index table into the data retrieval module, searching for chlorinated paraffin articles in the toxic effects retrieval database of chlorinated paraffins; S105. Sort the found chlorinated paraffin articles and construct chlorinated paraffin related articles; S106. Send the articles related to chlorinated paraffin to the result display module.

5. The multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system according to claim 4, characterized in that: The processing of keyword data includes: Filter out redundant and meaningless content in the text and extract key information; Automatically convert the English text entered by the user into Chinese to facilitate user understanding and query.

6. The visualization system based on the toxic effect database of chlorinated paraffins according to claim 1, characterized in that: The system also includes a user interface module, which supports users to input query requests through natural language and provides options for users to view pictures, videos and article summaries.

7. The multi-receptor multi-level chlorinated paraffin toxicity effect database and visualization expression system according to any one of claims 1 to 6, characterized in that: The working method of the system includes: Construct a chlorinated paraffin toxicity effect retrieval database, input the query content into the chlorinated paraffin toxicity effect retrieval database, and obtain chlorinated paraffin related articles; Constructing a visualization model, wherein the visualization model includes a chlorinated paraffin accumulation degree module, a biological pathology map module, and a video visualization module; The chlorinated paraffin accumulation module extracts information on the accumulation of chlorinated paraffins in biological structures from articles related to chlorinated paraffins, and generates an accumulation degree dot graph and an accumulation degree heat map based on the accumulation degree information of the chlorinated paraffins in biological structures. The biological pathology map module is based on articles related to chlorinated paraffin, extracts pathological data and tissue sections from the articles related to chlorinated paraffin, conducts quality assessment on them, quantitatively grades the pathological data that meets the assessment criteria, and simultaneously analyzes the tissue sections. Based on the quantitatively graded pathological data and the analyzed tissue sections, a pathology map of the organism is generated; The video visualization module extracts toxicity factors in vivo based on relevant articles on chlorinated paraffins, and generates video visualization content of the toxicity mechanism network of chlorinated paraffins based on the toxicity factors in vivo, wherein the toxicity factors include compounds, metabolic enzymes and biomarkers; Output chlorinated paraffin related articles, accumulation degree dot graphs corresponding to chlorinated paraffin related articles, accumulation degree heat map corresponding to chlorinated paraffin related articles, pathological maps in organisms corresponding to chlorinated paraffin related articles, and video visualization content of the toxic action mechanism network of chlorinated paraffin.

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