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Species and life cycles report on Tettigoniidea and Gryllidea in Minhang District, Shanghai Zhuqing HE, Xinyi LIAO Journal of East China Normal University(Natural Science)    2023, 2023 (6): 119-124.   DOI: 10.3969/j.issn.1000-5641.2023.06.011 Abstract （1499）   HTML （10）    PDF（pc） （1055KB）（581）       Knowledge map    Save This research study focuses on Tettigoniidea and Gryllidea insects distributed across Shanghai Pujiang Country Park, with data collected twice a month from April to December of Year 2020 and 2021. The results show that 8 species of Tettigonioidea, 16 species of Grylloidea, and 1 species of Gryllotalpidae live in Shanghai Pujiang Country Park. The adult phase and voltinism in their life cycles, moreover, were found to be stable. Most Tettigoniidea and Gryllidea tend to overwinter in soil as diapause eggs, and a proportion of them overwinter as nymphs. The research suggests, furthermore, that using the calling songs of Tettigoniidea and Gryllidea can be a simple and effective way to carry out studies about phenology and ecology of singing insect. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Automatic generation of Web front-end code based on UI images Jin GE, Xuesong LU Journal of East China Normal University(Natural Science)    2023, 2023 (5): 100-109.   DOI: 10.3969/j.issn.1000-5641.2023.05.009 Abstract （1007）   HTML （256）    PDF（pc） （1748KB）（428）       Knowledge map    Save User interfaces (UIs) play a vital role in the interactions between an application and its users. The current popularity of mobile Internet has led to the large-scale migration of web-based applications from desktop to mobile. Web front-end development has become more extensive and in-depth in application development. Traditional web front-end development relies on designers to give initial design drafts and then programmers to write the corresponding UI code. This method has high industry barriers and slow development, which are not conducive to rapid product iteration. The development of deep learning makes it possible to automatically generate web front-end code based on UI images. Existing methods poorly capture the features of UI images, and the accuracy of the generated code is low. To mitigate these problems, we propose an encoder–decoder model, called image2code, based on the Swin Transformer, which is used to generate web front-end code from UI images. Image2code regards the process of generating web front-end code from UI images as an image captioning task and uses Swin Transformer with a sliding window design as the backbone network of the encoder and decoder. The sliding window operation limits the attention calculation to one window, which reduces the amount of calculation by the attention mechanism while simultaneously ensuring that feature connections remain across windows. In addition, image2code generates Emmet code, which is much simpler and can be directly converted to HTML code, improving the efficiency of model training. Experimental results show that image2code performs better than existing representative models, such as pix2code and image2emmet, in the task of web front-end code generation on existing and newly constructed datasets. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A case study on the application of the automatic labelling of the subject knowledge graph of Chinese large language models: Take morality and law and mathematics as examples Sijia KOU, Fengyun YAN, Jing MA Journal of East China Normal University(Natural Science)    2024, 2024 (5): 81-92.   DOI: 10.3969/j.issn.1000-5641.2024.05.008 Abstract （792）   HTML （14）    PDF（pc） （1324KB）（1511）       Knowledge map    Save With the rapid development of artificial intelligence technology, large language models (LLMs) have demonstrated strong abilities in natural language processing and various knowledge applications. This study examined the application of Chinese large language models in the automatic labelling of knowledge graphs for primary and secondary school subjects in particular compulsory education stage morality and law and high school mathematics. In education, the construction of knowledge graphs is crucial for organizing systemic knowledge . However, traditional knowledge graph methods have problems such as low efficiency and labor-cost consumption in data labelling. This study aimed to solve these problems using LLMs, thereby improving the level of automation and intelligence in the construction of knowledge graphs. Based on the status quo of domestic LLMs, this paper discusses their application in the automatic labelling of subject knowledge graphs. Taking morality and rule of law and mathematics as examples, the relevant methods and experimental results are explained. First, the research background and significance are discussed. Second, the development status of the domestic large language model and automatic labelling technology of the subject knowledge graph are then presented. In the methods and model section, an automatic labelling method based on LLMs is explored to improve its application in a subject knowledge graph. This study also explored the subject knowledge graph model to compare and evaluate the actual effect of the automatic labelling method. In the experiment and analysis section, through the automatic labelling experiments and results analysis of the subjects of morality and law and mathematics, the knowledge graphs of the two disciplines are automatically labeled to achieve high accuracy and efficiency. A series of valuable conclusions are obtained, and the effectiveness and accuracy of the proposed methods are verified. Finally, future research directions are discussed. In general, this study provides a new concept and method for the automatic labelling of subject knowledge graphs, which is expected to promote further developments in related fields. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Comparative evaluations of testing methods for the biodegradation rates of degradable materials Wei ZHAO, Yu LI, Wei ZHANG, Kehua ZHU, Ke ZHOU, Qing LYU, Shixian LIU, Zhenming GE Journal of East China Normal University(Natural Science)    2023, 2023 (6): 158-167.   DOI: 10.3969/j.issn.1000-5641.2023.06.015 Abstract （696）   HTML （12）    PDF（pc） （1022KB）（418）       Knowledge map    Save Herein, based on existing standards for the measurements of material degradation rates and the degradation abilities of microorganisms, four methods were designed to determine material degradation rates. These four methods included two standard methods (inoculums: composting, vermiculite+composting leachate) and two experimental methods (inoculums: vermiculite+Bacillus, vermiculite+thermophilic bacteria). For this, the raw paper and plastic film (polylactic acid, PLA) components of environmentally friendly tape, as well as the finished tapes, were used as test materials to compare the material degradation rates using the above methods. Throughout the 60-day test cycle, both the PLA films and raw paper presented high degradation rates according to the four methods. The degradation rate of finished tape products increased gradually under the composting and vermiculite+composting leachate treatment and marginally rapidly under the vermiculite+Bacillus treatment. Additionally, under the vermiculite + thermophilic bacteria treatment method, the finished tape materials displayed a markedly higher degradation rate than that produced by other methods (roughly 1.7 ~ 7.5 times). Thus, the addition of microorganisms, particularly thermophilic bacteria, enhances the testing efficiency of material biodegradation rates. Therefore, we suggest that the optimization of degradation cultures can improve the testing efficiency of material degradation parameters, allowing manufacturing enterprises to shorten the research and development cycles of biodegradable products. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on water surface glint removal and information reconstruction methods for unmanned aerial vehicle hyperspectral images Shirui WANG, Fang SHEN, Renhu LI, Peng LI Journal of East China Normal University(Natural Science)    2024, 2024 (1): 36-49.   DOI: 10.3969/j.issn.1000-5641.2024.01.005 Abstract （659）   HTML （18）    PDF（pc） （3062KB）（358）       Knowledge map    Save Suppressing water glint pollution from remote sensing images and reconstructing image information are effective ways to improve the quality of UAV (unmanned aerial vehicle) remote sensing information and increase water environment monitoring areas. It is difficult to apply traditional glint information reconstruction algorithms to UAV hyperspectral images. This study proposes an algorithm for automatic glint detection, removal, and information reconstruction. First, NDWI (normalized difference water index) was used to extract the water body, and the lowest value of the sum of grayscale images in the entire band was used as a threshold to segment the glint, and the Laplace operator was used to extract the glint texture. The difference between the two areas was calculated through multiple rounds of morphological expansion and threshold updates. The lowest difference occurrence frequency was obtained by voting, and the best threshold was obtained in reverse to remove the glint automatically. Then, we determined the matching bands based on principal component analysis and compared the minimum similarity of matching blocks of different sizes to obtain the best size of the image blocks. Finally, we used an improved Criminisi algorithm to reconstruct the flare removal region. The removal algorithm was applied to four real glint scenarios with a removal rate > 99%; the reconstruction algorithm results are superior to those of other algorithms both subjectively and objectively, and the difference between the variation coefficient of each band of the glint reconstruction for water and normal water was within 1%, indicating good spectral application capability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on Autoformer-based electricity load forecasting and analysis Litao TANG, Zhiyong ZHANG, Jun CHEN, Linna XU, Jiachen ZHONG, Peisen YUAN Journal of East China Normal University(Natural Science)    2023, 2023 (5): 135-146.   DOI: 10.3969/j.issn.1000-5641.2023.05.012 Abstract （647）   HTML （13）    PDF（pc） （1298KB）（832）       Knowledge map    Save Next-generation power grids is the main direction of future smart grid development, and the accurate prediction of power loads is an important basic task of smart grids. To improve the accuracy of load prediction in smart power systems, this work characterized the load dataset based on an Autoformer, a prediction model with an autocorrelation mechanism; adds a feature extraction layer to the original model; optimized the model parameters in terms of the number of coding layers, decoding layers, learning rate, and batch size; and achieved cycle-flexible load prediction. The experimental results show that the model performs better in prediction, with an MAE, MSE, and coefficient of determination of 0.2512, 0.1915, and 0.9832, respectively. Compared with other methods, this method has better load prediction results. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on the impact of a typhoon on the accretion-erosion of mudflats: Based on UAV photogrammetry and in situ hydrodynamic measurements Xinmiao ZHANG, Liming XUE, Benwei SHI, Wenxiang ZHANG, Tianyou LI, Biaobiao PENG, Xiuzhen LI, Yaping WANG Journal of East China Normal University(Natural Science)    2024, 2024 (4): 150-160.   DOI: 10.3969/j.issn.1000-5641.2024.04.014 Abstract （632）   HTML （12）    PDF（pc） （2685KB）（899）       Knowledge map    Save Extreme events such as typhoons can change mudflats by tens of centimeters. It is important for coastal management and ecosystem maintenance to recognize changes in accretion-erosion during typhoons and to understand the mechanisms driving it. In this study, Unmanned Aerial Vehicle (UAV) photogrammetry based on the Structure-from-Motion (SfM) algorithm was used to generate Digital Elevation Models (DEM) of a mudflat in Eastern Chongming, Yangtze Estuary, before and after the passage of Typhoon “In-Fa” (July 2021). Hydrodynamic measurements were conducted from bare flats to marshes to explore the mechanisms of DEM changes. Changes in accretion-erosion observed by UAV photogrammetry presented an obvious zonation of eroded bare flats and accreted marshes. The accuracy of the DEMs is 4.1 cm. Under the impact of the typhoon, the erosion of the bare flat and the accretion of the marsh have a amplitude of ±32 cm. During typhoons, the wave height and water depth in the bare flat increases to the condition of wave breaking, and the surface sediment is eroded and carried by rising tides. But in marshes, the sediment carrying capacity of water columns decreases, and the sediments are deposited. Consequently, the mudflat presents an obvious zonation of accretion-erosion. This study provides a new perspective for deeply understanding the impact of typhoons on the accretion-erosion of mudflats by combining UAV photogrammetry and hydrodynamic measurements. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Comparative study of the vertical distribution characteristics of microplastics and sampling methods for microplastics in the water column: A case study in the Jiulong River estuary Chunhua JIANG, Jinxu YI, Lixin ZHU, Kai LIU, Changxing ZONG, Daoji LI Journal of East China Normal University(Natural Science)    2024, 2024 (1): 79-89.   DOI: 10.3969/j.issn.1000-5641.2024.01.009 Abstract （630）   HTML （10）    PDF（pc） （1342KB）（2321）       Knowledge map    Save Due to the influence of tidal processes, sampling and study of microplastics in estuarine areas have been hampered by inconsistent research methods and large data errors. In this study, whole-water depth sampling was conducted in the Jiulong River estuary using the pumping method in August of 2019. The abundances and distribution patterns of microplastics among different water layers and stations were analyzed and compared with research studies performed using different sampling methods. The results showed that the microplastic abundances in the surface, middle, and bottom waters of the Jiulong River estuary were markedly different and influenced by tidal effects. The abundances of microplastics obtained by different sampling methods were also significantly different. The abundance of microplastics in the surface water was significantly higher than the abundances in the middle and bottom waters near the source of pollution, and the abundances of microplastics in the middle and bottom waters were higher than the abundance in the surface water within the main estuary, which is subject to strong tidal action and has obvious stratification. The pumping method was more effective than the trawling method at retaining plastic fibers. The volume of water sample filtered by the pumping method and the size of the filtering mesh had significant effects on the abundances and sizes of the obtained microplastics. Different sampling methods lead to considerable differences in microplastic abundance results, and it is necessary to take tidal effects into account during microplastic monitoring in tidal estuaries. Therefore, it is recommended that operational monitoring and flux observations of microplastics in tidal estuaries be established and that sampling methods for observation of full tidal periods of flood and dry seasons and high and low tides should be used. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A review on the application of slow-release oxygen materials in the remediation of polluted rivers and lakes Yang CAO, Dungang GU, Guanghui LI, Minsheng HUANG, Wenhui HE Journal of East China Normal University(Natural Science)    2024, 2024 (1): 9-16.   DOI: 10.3969/j.issn.1000-5641.2024.01.002 Abstract （623）   HTML （27）    PDF（pc） （623KB）（2747）       Knowledge map    Save Oxygen-releasing materials are often used in the treatment and restoration of urban waters as an important method to enhance dissolved oxygen. The development of materials with slow-release property can improve the durability and stability of oxygen release in practical engineering. This paper reviews the preparation methods and oxygen release performance of the slow-release oxygen materials reported in recent years. Moreover, the effects and mechanisms of slow-release oxygen materials on the occurrence, migration, and transformation of pollutants such as nutrients in sediments and overlying water of rivers and lakes are reviewed. Finally, prospects and suggestions for the application of slow-release oxygen materials in the remediation of rivers and lakes are proposed. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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LaSalle’s invariance principle for delay differential equations driven by α-stable processes Zhenzhong ZHANG, Xu CHEN, Jinying TONG Journal of East China Normal University(Natural Science)    2023, 2023 (4): 11-23.   DOI: 10.3969/j.issn.1000-5641.2023.04.002 Abstract （581）   HTML （8）    PDF（pc） （696KB）（444）       Knowledge map    Save LaSalle’s invariance principle is an important tool for studying the stability of stochastic systems. Considering the influence of time delay and pure-jump path on the stability of the system and using the convergence theorem for special semi-martingale, the LaSalle’s invariance principle for a class of stochastic delay differential equations driven by $\alpha$ -stable processes is established in this study. The sufficient conditions for the asymptotic stability of a class of delay equations are given by LaSalle’s invariance principle. Reference | Related Articles | Metrics | Comments（0）

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Arrangement and analysis of type specimens of the Shanghai Natural History Museum Herbarium Ruiping SHI, Bicheng LI, Chunqing Wen, Yunfei ZHANG, Qianqian WU, Xiangkun QIN Journal of East China Normal University(Natural Science)    2024, 2024 (4): 82-99.   DOI: 10.3969/j.issn.1000-5641.2024.04.009 Abstract （577）   HTML （6）    PDF（pc） （13433KB）（106）       Knowledge map    Save To ascertain the status and promote the utilization and sharing of type specimens in Herbarium of Shanghai Natural History Museum (SHM), the collecting information of normal specimens in SHM with type specimens in specimens of plant resource sharing platform and journal of plant taxonomy were compared, 418 type specimens were confirmed. There are 239 species belonging to 147 genera in 69 families, including 390 type specimens newly discovered. The quantity, type, species, dominant groups, collectiion location, collection time, and the name type specimen collector were collected and analysed in the herbarium. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multimodal-based prediction model for acute kidney injury Wei DENG, Fang ZHOU Journal of East China Normal University(Natural Science)    2023, 2023 (4): 52-64.   DOI: 10.3969/j.issn.1000-5641.2023.04.006 Abstract （576）   HTML （20）    PDF（pc） （1179KB）（882）       Knowledge map    Save Acute kidney injury is a clinical disease with a high morbidity rate, and early identification of potential patients can facilitate medical interventions to reduce morbidity and mortality. In recent years, electronic health records have been widely used to predict an individual’s potential risk. Most of the existing acute kidney injury prediction models tackle the issue of sparsity and irregularity in the physiological variables data by aggregating data or imputing the missing value, but ignore the patient’s health status implied by the missing information. Moreover, they do not consider the characteristics of and correlation between the various modalities. To solve the above issues, we present a multi-modal disease prediction model for acute kidney injury. The proposed model considers a variety of modal data, including physiological variables, disease, and demographic data. A new mask and time span based long short term memory (LSTM) network is designed to learn the time span and missing information of individual Physiological variables, and furthermore, to capture their numerical changes and frequency changes. The multi-head self-attention mechanism is introduced to promote interaction learning of each modality representation. Experiments on the real-world application of acute kidney injury risk prediction and mortality risk prediction demonstrate the effectiveness and rationality of the proposed model. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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SA-MGKT: Multi-graph knowledge tracing method based on self-attention Chang WANG, Dan MA, Huarong XU, Panfeng CHEN, Mei CHEN, Hui LI Journal of East China Normal University(Natural Science)    2024, 2024 (5): 20-31.   DOI: 10.3969/j.issn.1000-5641.2024.05.003 Abstract （569）   HTML （13）    PDF（pc） （936KB）（266）       Knowledge map    Save This study proposes a multi-graph knowledge tracing method integrated with a self-attention mechanism (SA-MGKT), The aim is to model students’ knowledge mastery based on their historical performance on problem-solving exercises and evaluate their future learning performance. Firstly, a heterogeneous graph of student-exercise is constructed to represent the high-order relationships between these two factors. Graph contrastive learning techniques are employed to capture students’ answer preferences, and a three-layer LightGCN is utilized for graph representation learning. Secondly, we introduce information from concept association hypergraphs and directed transition graphs, and obtain node embeddings through hypergraph convolutional networks and directed graph convolutional networks. Finally, by incorporating the self-attention mechanism, we successfully fuse the internal information within the exercise sequence and the latent knowledge embedded in the representations learned from multiple graphs, leading to a substantial enhancement in the accuracy of the knowledge tracing model. Experimental outcomes on three benchmark datasets demonstrate promising results, showcasing remarkable improvements of 3.51%, 17.91%, and 1.47% respectively in the evaluation metrics, compared to the baseline models. These findings robustly validate the effectiveness of integrating multi-graph information and the self-attention mechanism in enhancing the performance of knowledge tracing models. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Algorithm for security management and privacy protection of education big data based on smart contracts Shaojie QIAO, Yuhe JIANG, Chenxu LIU, Cheqing JIN, Nan HAN, Shuaiwei HE Journal of East China Normal University(Natural Science)    2024, 2024 (5): 128-140.   DOI: 10.3969/j.issn.1000-5641.2024.05.012 Abstract （567）   HTML （10）    PDF（pc） （1051KB）（252）       Knowledge map    Save Conventional education big data management is faced with security risks such as privacy data leakage, questionable data credibility, and unauthorized access. To avoid the above risks, a novel type of education big data security management and privacy protection method, Algorithm for security management and privacy protection of education big data based on smart contracts (ASPES), is proposed. It integrates an improved key splitting and sharing algorithm based on the secret sharing of Shamir, a hybrid encryption algorithm based on SM2-SHA256-AES, and a smart contract management algorithm based on hierarchical data access control. Experiments are conduced on the real dataset of MOOCCube and the results indicate that the execution efficiency and security of ASPES are significantly improved when compared with the state-of-the-art methods, which can effectively store and manage education big data and realize the reasonable distribution of educational resources. By embedding smart contracts into the blockchain and inputting operations like data reading and writing into the blockchain, ASPES can optimize the management path, improve management efficiency, ensure the fairness of education, and considerably improve the quality of education. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Knowledge graph empowered object-oriented programming C++ teaching reform and practice Zhuang PEI, Xiuxia TIAN, Bingxue LI Journal of East China Normal University(Natural Science)    2024, 2024 (5): 104-113.   DOI: 10.3969/j.issn.1000-5641.2024.05.010 Abstract （564）   HTML （6）    PDF（pc） （3157KB）（981）       Knowledge map    Save Against the backdrop of the national new engineering education initiative, early C++ teaching has failed to meet the requirements of high-level sophistication, innovation, and challenges. Furthermore, issues such as fragmented knowledge points, difficulty in integrating theory with practice, and single-perspective bias are prevalent in this field. To address these problems, we propose an innovative teaching model that effectively integrates QT(Qt Toolkit) and C++ by merging the two courses. This model facilitates the teaching process via a course knowledge graph deployed on the Zhihuishu platform. The breadth of teaching is expanded by effectively linking course knowledge points, integrating and sharing multimodal teaching resources, enhancing multiperspective learning, showcasing the course’s innovative nature, and avoiding single-perspective bias. Simultaneously, the depth of teaching is increased through the construction of a knowledge graph that integrates QT and object-oriented programming (C++), organically combining the knowledge points of both courses. This approach bridges the gap between theory and practice by enhancing the course’s sophistication and level of challenge. Consequently, this study pioneers the reform of C++ teaching by providing valuable references and insights for programming courses under the new engineering education framework. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Study on the influence of a knowledge graph-based learning system design on online learning results Kechen QU, Jinchang LI, Deming HUANG, Jia SONG Journal of East China Normal University(Natural Science)    2024, 2024 (5): 70-80.   DOI: 10.3969/j.issn.1000-5641.2024.05.007 Abstract （562）   HTML （13）    PDF（pc） （2268KB）（661）       Knowledge map    Save Drawing on constructivism and competency-based theory, this paper proposes an online learning system design method based on a knowledge graph, which breaks the traditional knowledge structure and builds a multi-dimensional competence framework of knowledge and skills with the goal of improving competence. A learning system with a knowledge graph as the underlying logic and linked digital learning resources was built. Teaching practice and empirical research were then carried out. First, the learning system was verified with a questionnaire. Second, taking the ability to “read English academic papers” as the learning task, experimental and control groups were created to evaluate the understanding of knowledge and skills, memory level, and comprehensive application ability of the participants. The results showed that the effectiveness and usability of the learning system were higher in the experimental group than in the control group in terms of total, knowledge, skill, and ability scores. Among these, total and ability scores showed significant differences, indicating that the system played a role in promoting the effect of online learning. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A multimode data management method based on Data Fabric Xinjun ZHENG, Guoliang TIAN, Feihu HUANG J* E* C* N* U* N* S*    2023, 2023 (5): 164-181.   DOI: 10.3969/j.issn.1000-5641.2023.05.014 Abstract （562）   HTML （7）    PDF（pc） （804KB）（206）       Knowledge map    Save In the process of government and enterprise evolution, as information technology deepens from informatization into digitization, the data generated by various applications are becoming increasingly multimode, multisource, and massive, thereby posing new challenges to data management. To address these challenges, many new technologies and concepts have emerged in the field of data management. Data Fabric is a method that integrates distributed data storage, processing, and applications into a whole, providing a set of visual interfaces for management. First, we analyzed the technical architecture, characteristics, value, and complete process of managing and applying the multimode data of Data Fabric. Subsequently, we proposed anomaly monitoring methods based on time series indicators as well as log data for multimode and multisource data, whereby the processing speed improved by 33.3% and 42.2%, and F1 score improved by 12.2 pps (percentage points) and 14.8 pps, respectively, using Data Fabric technology. This further demonstrates the efficiency and application value of Data Fabric technology in the newly proposed methods. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Treatment of industrial park wastewater using a combination of hydrolysis acidification, anaerobic-anoxic-oxic-anoxic-oxic, and Fenton oxidation technology Yanjie HUANG, Guoyi ZHENG, Huayong YU, Hanbin ZHU, Fudong YU, Jing WANG, Xuchao SUN, Jiguang YIN, Lei AN, Yuanyuan LIN Journal of East China Normal University(Natural Science)    2024, 2024 (1): 29-35.   DOI: 10.3969/j.issn.1000-5641.2024.01.004 Abstract （562）   HTML （20）    PDF（pc） （880KB）（960）       Knowledge map    Save Industrial park wastewater is characterized by various components, changeable water quality, complex pollutant factors, poor biodegradability, and high emission standards. A full-scale industrial park wastewater treatment plant in Deqing was used as an example to investigate the technical-economic feasibility of a process combining hydrolysis acidification, anaerobic-anoxic-oxic-anoxic-oxic (A2/O+AO), and Fenton oxidation in treating wastewater from various enterprises, primarily printing and dyeing, food manufacturing, and metal processing factories. The effluent chemical oxygen demand, ammoniacal nitrogen, total nitrogen, and total phosphorus stably met the required discharge limits for Urban Sewage Treatment Plants (DB33/2169—2018), while other indicators reached Grade A standard for Urban Sewage Treatment Plants (GB18918—2002). The engineering investment and actual operation costs of the wastewater treatment plant were 8200 and 2.39 yuan/m3, respectively. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Educational resource content review method based on knowledge graph and large language model collaboration Jia LIU, Xin SUN, Yuqing ZHANG Journal of East China Normal University(Natural Science)    2024, 2024 (5): 57-69.   DOI: 10.3969/j.issn.1000-5641.2024.05.006 Abstract （549）   HTML （18）    PDF（pc） （1448KB）（292）       Knowledge map    Save Automated content reviews on digital educational resources are urgently in demand in the educational informatization era. Especially in the applicability review of whether educational resources exceed the standard, there are problems with knowledge which are easy to exceed national curriculum standards and difficult to locate. In response to this demand, this study proposed a review method for educational resources based on the collaboration of an educational knowledge graph and a large language model . Specifically, this study initially utilized the ontology concept to design and construct a knowledge graph for curriculum education in primary and secondary schools. A knowledge localization method was subsequently designed based on teaching content generation, sorting, and pruning, by utilizing the advantages of large language models for text generation and sorting tasks. Finally, by detecting conflicts between the core knowledge sub-graph of teaching content and the knowledge graph teaching path, the goal of recognizing teaching content that exceeded the national standard was achieved. Experimental results demonstrate that the proposed method effectively addresses the task of reviewing exceptional standard knowledge in educational resource content. This opens up a new technological direction for educational application based on the knowledge graph and large language model collaboration. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Locally lightweight course teaching-assistant system based on IPEX-LLM Jiarui ZHANG, Qiming ZHANG, Fenglin BI, Yanbin ZHANG, Wei WANG, Erjin REN, Haili ZHANG Journal of East China Normal University(Natural Science)    2024, 2024 (5): 162-172.   DOI: 10.3969/j.issn.1000-5641.2024.05.015 Abstract （538）   HTML （14）    PDF（pc） （15203KB）（102）       Knowledge map    Save This study introduces and implements a local, lightweight, intelligent teaching-assistant system. Using the IPEX-LLM (Intel PyTorch extention for large language model) acceleration library, the system can efficiently deploy and execute large language models that are fine-tuned using the QLoRA (quantum-logic optimized resource allocation) framework on devices with limited computational resources. Combining this with enhanced retrieval techniques, the system provides flexible course customization through four major functional modules: intelligent Q&A, automated question generation, syllabus creation, and course PPT generation. This system is intended to assist educators in improving the quality and efficiency of lesson preparation and delivery, safeguarding data privacy, supporting personalized student learning, and offering real-time feedback. Performance tests exemplified by the optimized Chatglm3-6B model show the rapid inference capability of the system via the processing of a 64-token output task within 4.08 s in a resource-constrained environment. A practical case study comparing the functionality of the system with native Chatglm-6B and ChatGPT 4.0 further validates its superior accuracy and practicality. Table and Figures | Reference | Related Articles | Metrics | Comments（0）