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Advances in research on multimedia fate, risks, and simulation of contaminants of emerging concern in urban agglomerations Chenming GU, Jing YANG, Ye LI, Ye HUANG, Yan WU, Guoyu YIN, Ruihe JIN, Yi YANG, Min LIU Journal of East China Normal University(Natural Science)    2024, 2024 (6): 24-38.   DOI: 10.3969/j.issn.1000-5641.2024.06.003 Abstract （410）   HTML （4）    PDF（pc） （1726KB）（5789）       Knowledge map    Save The high degree of integration between cities has made urban agglomerations one of the key carriers of global economic development. However, the rapid economic growth; industrial restructuring; and subsequent adoption of new technologies, materials, and products, coupled with high-intensity human activities in urban agglomerations, have led to increasingly serious issues of environmental emissions and the accumulation of contaminants of emerging concern (CECs). The complexity, diversity, migration, transformation, accumulation, and ecological risks of CECs in surface environments have made them a central scientific issue in surface environmental process research. This article systematically elaborates on the spatiotemporal differentiation characteristics and migration mechanisms of CECs in urban agglomerations across multimedia, summarizes research progress on the source emissions and contributions of CECs in urban agglomerations at home and abroad, reviews the models of multimedia fate of CECs in urban agglomerations and the methods for ecological health risk assessment, discusses the shortcomings of research on CEC contamination in urban agglomerations, and proposes key scientific issues that need to be addressed in future research. Reference | Related Articles | Metrics | Comments（0）

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Advancements in bio-tracking and bio-imaging technologies for microplastics Cuizhu MA, Wenjun ZHAO, Yufei CHEN, Huahong SHI Journal of East China Normal University(Natural Science)    2024, 2024 (6): 14-23.   DOI: 10.3969/j.issn.1000-5641.2024.06.002 Abstract （490）   HTML （22）    PDF（pc） （885KB）（3588）       Knowledge map    Save This article reviews the advancements in bio-tracking and imaging techniques for microplastics (MPs). Currently, fluorescent labeling, metal labeling, and isotope labeling are commonly employed, with fluorescent tracers being the most widely used method. Hyperspectral imaging, surface-enhanced Raman imaging, and polarized light imaging are also used due to the spectral characteristics of plastics. Combined with high-resolution imaging technology, tissue clearing made it possible to visualize three-dimensional (3D) imaging, providing a new perspective for in-depth research on the biological effects of MPs. Using various tracking technologies and imaging methods combined with 3D processing and analysis software will elucidate the distribution of microplastics in different organs and even individual organisms in the future. This comprehensive analysis method is expected to provide a stronger scientific foundation for the environmental risk assessment and management of MPs. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on calculation of two-dimensional transition metal chalcogenides compounds MX2-MX-MX2 (M = V, Cr, Mn, and Fe; X = S, Se, and Te) Wenjie DING, Wenhui XIE Journal of East China Normal University(Natural Science)    2024, 2024 (3): 45-53.   DOI: 10.3969/j.issn.1000-5641.2024.03.005 Abstract （473）   HTML （9）    PDF（pc） （1969KB）（3125）       Knowledge map    Save The crystal structure, stability, electronic structure, and magnetism of two-dimensional transition metal chalcogenides compounds, MX2-MX-MX2 (M = V, Cr, Mn, and Fe; X = S, Se, and Te), were systematically investigated using first-principles calculations based on the density functional theory (DFT). Furthermore, the magnetic coupling mechanisms of these materials were analyzed. The results show that the formation energies of these compounds are negative, indicating that the compounds can be fabricated experimentally. MnS2-MnS-MnS2 and MnSe2-MnSe-MnSe2 exhibit ferromagnetic half-metal properties, whereas CrS2-CrS-CrS2 transforms into a ferromagnetic half-metal under applied stress. 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 （640）   HTML （27）    PDF（pc） （623KB）（2984）       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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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 （646）   HTML （10）    PDF（pc） （1342KB）（2428）       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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Progress and critical issues in research on micro- and nanoplastics in human body Tiefeng CUI, Daoji LI Journal of East China Normal University(Natural Science)    2024, 2024 (6): 1-13.   DOI: 10.3969/j.issn.1000-5641.2024.06.001 Abstract （467）   HTML （23）    PDF（pc） （925KB）（2341）       Knowledge map    Save Micro- and nanoplastics (M-NPs) are ubiquitous in the natural environment and have become a topic of concern. However, due to the lack of key data on human exposure to M-NPs, our understanding of the potential health risks posed by the entry of M-NPs into the human body is still limited. Current research indicates that M-NPs are commonly found in various parts of the human body. However, the experimental analysis techniques for M-NPs in the human body have not yet been standardized, with the main differences lying in sample pretreatment and detection methods. This increases the difficulty of conducting systematic research on the distribution, transfer, accumulation, and excretion of M-NPs in the human body. In addition, the study of nanoplastics (< 1 μm) still faces insurmountable technical obstacles. The experimental research results of M-NPs standard samples, although instructive, do not fully reflect the exposure risks of M-NPs in the real environment, and thus, do not have universal scientific significance. This review aims to provide direction for the standardization of experimental analysis and risk assessment for M-NPs in the human body. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Comprehensive review on green synthesis of bio-based 2,5-furandicarboxylic acid Lei ZHAO, Zelin LI, Bolong LI, Shuchang BIAN, Jianhua WANG, Hailan ZHANG, Chen ZHAO Journal of East China Normal University(Natural Science)    2023, 2023 (1): 160-169.   DOI: 10.3969/j.issn.1000-5641.2023.01.016 Abstract （3597）   HTML （158）    PDF（pc） （1090KB）（2213）       Knowledge map    Save Bio-based 2,5-furandicarboxylic acid (FDCA) is expected to partially replace petroleum-based terephthalic acid (PTA) for the synthesis of high-performance polymer materials. This review article summarizes the latest achievements on the various synthesis routes of FDCA from 5-hydroxymethylfurfural (HMF), furoic acid, furan, diglycolic acid, hexaric acid, 2,5-dimethylfuran, and 2-methylfuran. In particular, the direct oxidation, heterogeneous thermal catalytic oxidation, photoelectric catalytic oxidation of HMF and furoic acid carboxylation, disproportionation, carbonylation, and other routes to synthesize FDCA are reviewed in detail. Based on the comparative analysis of the advantages and disadvantages of each route, the HMF route and the furoic acid route are considered the most promising candidates for the large-scale production of FDCA. Further exploration and future research should be carried out to improve the catalytic production and separation efficiency of FDCA, simplify the reaction process, and reduce production wastes. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Vegetation growth characteristics and the blue carbon effect ofrestored salt marshes at different developmental agesin Hengsha, the Yangtze River Estuary Xiaohan ZHANG, Huimin TIAN, Xuechu CHEN, Hualei YANG, Rui DING, Mingming ZHAO, Wenhui YOU Journal of East China Normal University(Natural Science)    2024, 2024 (1): 113-121.   DOI: 10.3969/j.issn.1000-5641.2024.01.012 Abstract （444）   HTML （13）    PDF（pc） （1146KB）（2146）       Knowledge map    Save Coastal salt marsh wetlands have high productivity and low decomposition rates owing to long-term flooding, and these wetlands store a large amount of soil organic carbon. As newly restored salt marsh wetlands develop, changes in vegetation growth traits, soil physicochemical properties, and organic carbon content affect their carbon sequestration function. In this study, using a restored salt marsh wetland in Hengsha (Chongming, Shanghai) as an example, changes in the vegetation growth characteristics and soil organic carbon content of different vegetation communities at varying developmental ages were analyzed using the spatiotemporal substitution method. Key factors affecting the carbon sequestration capacity of these restored wetlands were also identified. The results showed that the organic carbon content in newly restored salt marsh wetlands increased with developmental age over 0 ~ 20 years. Soil porosity and water content were effective indicators of soil organic carbon content changes. The newly restored wetlands had a high soil carbon density, with a total organic carbon density of (21.49 ± 3.67) tC·hm–2 in the 0 ~ 20 cm soil layer of the eight-year-old wetland, similar to that of the natural wetland. The vegetation growth and carbon sequestration capacity of Phragmites australis were higher than those of Scirpus mariqueter and their ecotone. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Bioinformatics-based construction of immune prognostic gene model for hepatocellular carcinoma and preliminary model validation Linding XIE, Yuan ZHANG, Yihong CAI Journal of East China Normal University(Natural Science)    2024, 2024 (4): 100-110.   DOI: 10.3969/j.issn.1000-5641.2024.04.010 Abstract （480）   HTML （6）    PDF（pc） （4520KB）（2000）       Knowledge map    Save The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases were used to collect RNA sequence information from patients with hepatocellular carcinoma (HCC). The key genes involved in the immune response mechanism to HCC were screened using the non-negative matrix factorization (NMF) clustering method and weighted gene co-expression network analysis (WGCNA). Prognostic gene models were constructed using the least absolute shrinkage and selection operator (LASSO) regression analysis, and biological functions were analyzed using gene set enrichment analysis (GSEA). Subsequently, to assess the immune infiltration and the related functional differences between the patients in two different risk groups , we used single-sample gene set enrichment analysis (ssGSEA). We constructed column line graphs in combination with independent risk factors to predict overall patient survival time using the “RMS” package in R. Finally, preliminary clinical validation was performed using the Human Protein Atlas (HPA) database with real-time quantitative fluorescent PCR (RT-qPCR). In conclusion, we integrated the clinical characteristics of patients based on risk scores to construct a verifiable and reproducible column line chart, providing a reliable reference for the precise treatment of patients in clinical oncology. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Application of Cu-based catalysts in the electroreduction of carbon dioxide Jing TANG, Zining ZHANG, Xiang ZHENG Journal of East China Normal University(Natural Science)    2023, 2023 (1): 149-159.   DOI: 10.3969/j.issn.1000-5641.2023.01.015 Abstract （2216）   HTML （53）    PDF（pc） （1081KB）（1859）       Knowledge map    Save To achieve the national strategy of carbon neutralization, the electroreduction of carbon dioxide into usable reagents via renewable energy has caused widespread concern in the scientific community. Cu-based electrocatalysts can reduce carbon dioxide to high value-added multi carbon products, but the catalytic mechanism still needs to be studied to improve its selectivity and efficiency. Depending on the state of the Cu, Cu-based catalysts can be divided into Cu alloy/composite catalysts, single-atom, oriented crystalline, and oxidized Cu-based catalysts. This paper introduced the common preparation methods, structural characteristics, effect of electro catalytic reduction of carbon dioxide, and possible catalytic mechanism of the four types of Cu-based catalysts mentioned above. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multi-media distribution and partitioning behavior of organophosphate esters in the Yangtze River Estuary Bao LI, Ruihe JIN, Yuxin ZHANG, Manjing RUAN, Yan WU, Jing YANG, Min LIU Journal of East China Normal University(Natural Science)    2024, 2024 (6): 99-113.   DOI: 10.3969/j.issn.1000-5641.2024.06.009 Abstract （410）   HTML （7）    PDF（pc） （7484KB）（1766）       Knowledge map    Save This research investigated multi-media occurrences of organophosphate esters (OPEs) in sediments, surface and bottom water sampled from the Yangtze River Estuary, and elucidated their spatio-vertical trends and partitioning behavior across typical aquatic interfaces. Additionally, we determined the key factors affecting the estuarine fate of OPEs and the associated environmental implications. Various OPEs were ubiquitous in the study region, and the peak water-borne residues were often found adjacent to the sites with more intense anthropogenic activities. Moreover, the estuarine hydrodynamic features also increased the OPE burden in water and sediments at the outlet of the Yangtze River. The moderate-to-high ecological risks suggested by risk quotients were mainly generated by tris(2-ethylhexyl) phosphate and bisphenol A-bis(diphenyl) phosphate. The annual fluxes via the water flow and sediment deposition of the Yangtze River towards the East China Sea were predicted to be approximately 150 t and 290 kg, respectively, rivalling or exceeding those reported for many well-studied organic contaminants. Our results highlight the prevalence and abundance of OPEs in a representative urbanized estuary in China and the substantial ecological risks they pose to aquatic ecosystems. 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 （875）   HTML （15）    PDF（pc） （1324KB）（1618）       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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Journal of East China Normal University(Natural Science)    2023, 2023 (6): 0-x.   Abstract （549）   HTML （33）    PDF（pc） （365KB）（1463）       Knowledge map    Save Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Study on ecological purification system of tidal-flow paddy wetland based on multifunctional coupling Hongshuo ZOU, Min FU, Mengdie XIAO, Shiwen SHENG, Ping XU, Xuechu CHEN Journal of East China Normal University(Natural Science)    2024, 2024 (1): 58-67.   DOI: 10.3969/j.issn.1000-5641.2024.01.007 Abstract （393）   HTML （11）    PDF（pc） （1215KB）（1270）       Knowledge map    Save In this study, a pilot-scale tidal-flow paddy wetland system based on multifunctional coupling was constructed to treat land-based aquaculture tailwater of Macrobrachium rosenbergii. This study explored the purification ability, CH4 emissions, arthropod diversity, and comprehensive benefits of the tidal-flow paddy wetland system to provide a scientific basis for the application of this system. The results showed that the tidal-flow paddy wetland system could effectively purify land-based aquaculture tailwater. The removal capacities of dissolved inorganic nitrogen, total nitrogen, dissolved inorganic phosphorus, and total phosphorus were approximately 54.3%, 44.9%, 42.9%, and 43.0%, respectively. Simultaneously, the system had no negative impact on the external environment and indirectly purifies river water. Compared with conventional paddy fields, the tidal-flow paddy wetland system reduced CO2 and CH4 emissions by 5.4% and 92.5%, respectively. Compared to conventional paddy fields during the flooding period, the abundance of the mcrA gene in the tidal-flow paddy wetland decreased by 82.3%. Moreover, the tidal-flow paddy wetland system improved biodiversity and natural enemy abundance/pest abundance, inhibited pest outbreaks, supported more species, and increased comprehensive benefits compared to the control. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Time series uncertainty forecasting based on graph augmentation and attention mechanism Chaojie MEN, Jing ZHAO, Nan ZHANG J* E* C* N* U* N* S*    2025, 2025 (1): 82-96.   DOI: 10.3969/j.issn.1000-5641.2025.01.007 Abstract （539）   HTML （12）    PDF（pc） （1026KB）（1183）       Knowledge map    Save To improve the ability to predict future events and effectively address uncertainty, we propose a network architecture based on graph augmentation and attention mechanisms for uncertainty forecasting in multivariate time series. By introducing an implicit graph structure and integrating graph neural network techniques, we capture the mutual dependencies among sequences to model the interactions between time series. We utilize attention mechanisms to capture temporal patterns within the same sequence for modeling the dynamic evolution patterns of time series. We utilize the Monte Carlo dropout method to approximate model parameters and model the predicted sequences as a stochastic distribution, thus achieving accurate uncertainty forecasting in time series. The experimental results indicate that this approach maintains a high level of prediction precision while providing reliable uncertainty estimation, thus providing confidence for use in decision-making tasks. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Evaluation of the effectiveness of coastal ecological restoration based on emergy analysis: A case study from the Yingwuzhou Wetland Rui DING, Xuechu CHEN, Wenhui YOU, Jiayu TU J* E* C* N* U* N* S*    2024, 2024 (1): 68-78.   DOI: 10.3969/j.issn.1000-5641.2024.01.008 Abstract （471）   HTML （7）    PDF（pc） （956KB）（1116）       Knowledge map    Save Since the Yingwuzhou Wetland was established over five years ago, we have conducted comprehensive field investigation and monitoring. Constructing a reliable evaluation system with long-term monitoring data is important for the evaluation of coastal ecological restoration projects. Here, we used the emergy analysis method and collected the relevant data through field research, scientific monitoring, and literature review to construct an energy analysis structure chart and emergy value index system for the Yingwuzhou Wetland. The main emergy indexes, such as the natural assets and ecosystem services of the wetland, were analyzed, and its functional performance was compared for different restoration periods. The results show that the total emergy of the natural assets in the Yingwuzhou Wetland in 2021 was 8.92 × 1016 sej, which is equivalent to the emergy-monetary value of 2.247 × 105 yuan; the total emergy of ecosystem services was 8.88 × 1017 sej·a–1. After the implementation of restoration, the ecological quality of Yingwuzhou was significantly improved, and its natural assets and ecosystem service emergy were 5.01 and 5.73 times higher than those before restoration. The emergy self-support ratio (ESR) of the Yingwuzhou Wetland ecosystem was 0.47, and the emergy yield ratio (EYR) and emergy sustainable index (ESI) were 28.29 and 25.03, respectively, indicating that the wetland had high output efficiency and suitable space for sustainable development. This study shows that based on long-term monitoring data, the emergy analysis method can better reflect the effectiveness of coastal ecological restoration projects, and the evaluation system and method can provide reference for similar coastal restoration projects in the future. 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 （592）   HTML （6）    PDF（pc） （3157KB）（1105）       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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Dirac and Majorana neutrino scattering by cosmic torsion in spatial-flat FRW spacetime background Wei LIN, Xun XUE Journal of East China Normal University(Natural Science)    2024, 2024 (3): 1-11.   DOI: 10.3969/j.issn.1000-5641.2024.03.001 Abstract （242）   HTML （19）    PDF（pc） （671KB）（1071）       Knowledge map    Save The possibility of detecting cosmic torsion originated from large scale Lorentz violation of cosmology at cosmic scale by the shift of energy distribution for massive cosmic neutrinos in spatial-flat FRW (Friedmann-Robertson-Walker) spacetime background is discussed. Massive cosmic neutrino scattering owing to cosmic torsion leads to a shift in the peak position of their final state energy distribution at the order of $m^2/E^2$. Moreover, the Dirac and Majorana neutrino shift values differ by the vector part of the torsion in the non-minimal vector torsion coupling case. 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 （585）   HTML （20）    PDF（pc） （880KB）（1064）       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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Prediction of remaining useful life of aeroengines based on the Transformer with multi-feature fusion Yilin MA, Huiling TAO, Qiwen DONG, Ye WANG Journal of East China Normal University(Natural Science)    2022, 2022 (5): 219-232.   DOI: 10.3969/j.issn.1000-5641.2022.05.018 Abstract （1292）   HTML （54）    PDF（pc） （1754KB）（1017）       Knowledge map    Save As the core components of aircraft, engines play a vital role during flight. Accurate prediction of the remaining useful life of the aeroengine can help prognostics and health management, thus preventing major accidents and saving maintenance costs. In view of the lack of consideration of different time steps and the relationship between different sensors and operating conditions in existing methods, a remaining useful life prediction method based on the Transformer was proposed, which fuses multi-feature outputs from different encoder layers. This method selects two input data with different time steps, analyzes the relationship between the sensors using permutation entropy, and extracts features independently from the operating condition data. The experimental results on the public aeroengine dataset CMAPSS (Commercial Modular Aero-Propulsion System Simulation) show that the proposed method is superior to other advanced remaining useful life prediction methods. Table and Figures | Reference | Related Articles | Metrics | Comments（0）