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WANG Shan-Shan, SUN Qi-Wei, CHEN Yun Journal of East China Normal University(Natural Sc    2015, 2015 (S1): 509-.   DOI: 10.3969/j.issn.1000-5641.2015.z1.082 Abstract （780）      PDF （5807KB）（1859）       Knowledge map    Related Articles | Metrics

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Recognition of classroom learning behaviors based on the fusion of human pose estimation and object detection Zejie WANG, Chaomin SHEN, Chun ZHAO, Xinmei LIU, Jie CHEN Journal of East China Normal University(Natural Science)    2022, 2022 (2): 55-66.   DOI: 10.3969/j.issn.1000-5641.2022.02.007 Abstract （2098）   HTML （160）    PDF （1026KB）（2232）       Knowledge map    As a result of ongoing advances in artificial intelligence technology, the potential for learning analysis in teaching evaluation and educational data mining is gradually being recognized. In classrooms, artificial intelligence technology can help to enable automated student behavior analysis, so that teachers can effectively and intuitively grasp students’ learning behavior engagement; the technology, moreover, can provide data to support subsequent improvements in learning design and implementation of teaching interventions. The main scope of the research is as follows: Construct a classroom student behavior dataset that provides a basis for subsequent research; Propose a behavior detection method and a set of feasible, high-precision behavior recognition models. Based on the global features of the human posture extracted from the Openpose algorithm and the local features of the interactive objects extracted by the YOLO v3 algorithm, student behavior can be identified and analyzed to help improve recognition accuracy; Improve the model structure, compress and optimize the model, and reduce the consumption of computing power and time. Four behaviors closely related to the state of learning engagement: listening, turning sideways, bowing, and raising hands are recognized. The accuracy of the detection and recognition method on the verification set achieves 95.45%. The recognition speed and accuracy of common behaviors, such as playing with mobile phones and writing, are greatly improved compared to the original model. Table and Figures | Reference | Related Articles | Metrics

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Structure-conductive property relationship of polypyrrole YU Bo, XU Xue-cheng Journal of East China Normal University(Natural Sc    2014, 2014 (4): 77-87.   Abstract （2433）      PDF （1700KB）（4796）       Knowledge map    Polypyrrole was synthesized by oxidative chemical polymerization. Samples presenting different conductivities were obtained by adjusting the preparing temperature. The polypyrrole samples have been investigated by means of four probe method, Solid state 13C NMR spectrum, XRD, FTIR spectroscopy, Raman spectrum and XPS, respectively. The experimental result suggested the fact that the conductivity of polypyrrole samples gradually decreases as the preparation temperature increases. The analysis indicates it is because the changing of internal structure follows the varying of external preparation conditions. The commonly structure of polypyrrole is a linear chain of monomers bonded by α-α carbons at a low preparation temperature. Through such a structure polypyrrole can form both a relatively planar configuration and a relatively planar conformation. This sort of structure provides the sample with a preferable regularity, a longer conjugated chain length and a higher conductivity. However, the ratio of α-α linkage drops as the preparation temperature increases, by which the structure of molecular is damaged, the degree of order declines. The carrier mobility of polypyrrole, as well as the conductive property, became lower. Reference | Related Articles | Metrics

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Cricket song structure analysis and the behavior observation of Teleogryllus emma (Orthoptera: Grylloidea) (Chinese) HE Zhu-qing;LI Kai Journal of East China Normal University(Natural Sc    2009, 2009 (6): 23-31.   Abstract （3181）      PDF （1036KB）（2098）       Knowledge map    The behaviors of Teleogryllus emma (Ohmachi and Matsumura, 1951) were reported and the characteristics of their songs were analyzed. The behaviors included feeding, cleaning, avoiding, mating and singing. The songs contained calling song (CS), courtship song (CtS) and rival song (RS). The results of time domain characteristics showed that the songs contained dominant tone and subordinate tone. both CS and CtS included two kinds of tones, while the subordinate tone of CtS is longer than the one of CS. RS contained only the dominant tone. The results of frequency domain characteristics analysis showed that the frequency of rival song was higher than the ones of CS and CtS. Related Articles | Metrics

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The development and application of a physical-biogeochemical coupling model based on FVCOM SHI Shenyang, GE Jianzhong, CHEN Jianzhong, ZHENG Xiaoqin, DING Pingxing Journal of East China Normal University(Natural Science)    2020, 2020 (3): 55-67.   DOI: 10.3969/j.issn.1000-5641.201941008 Abstract （802）   HTML （164）    PDF （1395KB）（936）       Knowledge map    By combining the hydrodynamic model FVCOM with the biological model ERSEM, based on FABM, this paper develops a new physical-biogeochemical model: FVCOM-FABM-ERSEM. The combined model is suitable for application to coastal areas and is one of the most comprehensive ecosystem models for the lower trophic levels of the marine food-web. Using the combined model, a one-dimensional vertical (1DV) model and a three-dimensional Changjiang Estuary model were established. The results of the 1DV model were consistent with observation data from the European L4 Station. This paper also simulates the physical and biogeochemical processes of Changjiang Estuary from 2013 to 2016 with the 3D Changjiang Estuary model. The distribution of temperature, salinity, nitrate, phosphate, and chlorophyll-a levels were all found to be consistent with observation data from cruises and MODIS data in the spring when algal blooms occur. The characteristics of the front dynamics of Changjiang Estuary were well represented. The relationship between salinity, turbidity, nutrients, and chlorophyll around the plume front was determined through modeling, indicating a significant co-occurrence effect along the front of physical and biological processes. Reference | Related Articles | Metrics

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Survey of early time series classification methods Mengchen YANG, Xudong CHEN, Peng CAI, Lyu NI Journal of East China Normal University(Natural Science)    2021, 2021 (5): 115-133.   DOI: 10.3969/j.issn.1000-5641.2021.05.011 Abstract （1218）   HTML （435）    PDF （1503KB）（1311）       Knowledge map    With the increasing popularity of sensors, time-series data have attracted significant attention. Early time series classification (ETSC) aims to classify time-series data with the highest level of accuracy and smallest possible size. ETSC, in particular, plays a critical role in fintech. First, this paper summarizes the common classifiers for time-series data and reviews the current research progress on minimum prediction length-based, shapelet-based, and model-based ETSC frameworks. There are pivotal technologies, advantages, and disadvantages of the representative ETSC methods in separate frameworks. Next, we review public time-series datasets in fintech and commonly used performance evaluation criteria. Lastly, we explore future research directions pertinent to ETSC. Table and Figures | Reference | Related Articles | Metrics

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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 （2533）   HTML （118）    PDF （1090KB）（1584）       Knowledge map    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

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Diversity of plants in Chinese Taoist temples and the distribution pattern of Taoist tree species Wei CHANG, Yongchuan YANG, Cheng JIN, Xinyang WANG, Li HUANG, Lihua ZHOU, Siwei HU Journal of East China Normal University(Natural Science)    2023, 2023 (3): 9-19.   DOI: 10.3969/j.issn.1000-5641.2023.03.002 Abstract （645）   HTML （249）    PDF （1768KB）（360）       Knowledge map    In this study, we obtained tree species from 72 Taoist temples across China. We subsequently documented the tree species composition, distribution pattern, and impact factors in different regions to determine the role of Taoist temples in biodiversity protection. The results showed that: ① Among 72 Taoist temples sampled across China, we observed a total of 354 species of trees, belonging to 85 families and 208 genera; ② The tree species in the Taoist temples were mainly native species, and the mean value for the proportion of native species in each Taoist temple was 62.5%±19.8% (mean ± standard deviation). Most of the Taoist temples (77.8%), moreover, housed threatened tree species; ③ Taoist tree species originated largely from subtropical regions, with the Yangtze River Basin being the most represented, especially in the southwest and south-central regions where a relatively large proportion of ethnic minorities reside; ④ The main factors affecting the distribution of Taoist tree species were geography and climate, but their composition was indistinguishable within each climate zone. As the climatic zone moves northward, there is no religious tree species replacement phenomenon (i.e., replacing the original religious tree species by native tree species with similar morphology or cultural meaning). The above results indicate that Taoist temples are rich in plant resources, which are potential biodiversity treasures. Thus, they play an essential role in protecting and maintaining biodiversity, with the potential to serve as a reference for regional ecological restoration and urban green space construction. Table and Figures | Reference | Related Articles | Metrics

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Study on the mechanism of methylene blue degradation by TiO2 photocatalyst ZHANG Dan, XU Bin, ZHU Pei-juan, LIAN Zheng-hao, ZHAO Ya-ping Journal of East China Normal University(Natural Sc    2013, 2013 (5): 35-42.   Abstract （4051）      PDF （2193KB）（4655）       Knowledge map    In order to carry out the study, the experiments of photodegradation of methylene blue under different conditions were conducted, using different kinds of free radical scavengers, such as (CH3)3OH, H2O2, KI, NaN3 and C6H4O2. The effects of these free radical scavengers were observed. The concentration of H2O2 generated during the photodegradation of methylene blue by TiO2 was also reported. And the results of these experiments indicated that the main active oxygen substances in the reaction are ·OH, O·-2 and 1O2. Reference | Related Articles | Metrics

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Research progress in Chinese named entity recognition in the financial field Qiurong XU, Peng ZHU, Yifeng LUO, Qiwen DONG Journal of East China Normal University(Natural Science)    2021, 2021 (5): 1-13.   DOI: 10.3969/j.issn.1000-5641.2021.05.001 Abstract （1476）   HTML （673）    PDF （821KB）（959）       Knowledge map    As one of the basic components of natural language processing, named entity recognition (NER) has been an active area of research both domestically in China and abroad. With the rapid development of financial applications, Chinese NER has improved over time and been applied successfully throughout the financial industry. This paper provides a summary of the current state of research and future development trends for Chinese NER methods in the financial field. Firstly, the paper introduces concepts related to NER and the characteristics of Chinese NER in the financial field. Then, based on the development process, the paper provides an overview of detailed characteristics and typical models for dictionary and rule-based methods, statistical machine learning-based methods, and deep learning-based methods. Next, the paper summarizes public data collection tools, evaluation methods, and applications of Chinese NER in the financial industry. Finally, the paper explores current challenges and future development trends. Table and Figures | Reference | Related Articles | Metrics

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Spatial and temporal distribution of Tettigonioidea and Grylloidea at different altitudes of Tianmu Mountain Zhuqing HE, Xinyi LIAO, Nuo DING Journal of East China Normal University(Natural Science)    2022, 2022 (6): 123-129.   DOI: 10.3969/j.issn.1000-5641.2022.06.012 Abstract （536）   HTML （8）    PDF （865KB）（349）       Knowledge map    In this research, we carried out a survey based on one fixed transect for Tettigonioidea and Grylloidea insects distributed in Tianmu Mountain from April to October of 2019. The results showed that there were 28 species of Tettigonioidea and 19 species of Grylloidea in Tianmu Mountain. Among them, six species of Tettigonioidea and eight species of Grylloidea were recorded in Tianmu Mountain for the first time. The insects became adults in August, September, and October. The insects distributed at lower altitudes tended to become adults earlier than those at higher altitudes. The number of species declined initially with increasing altitude, and subsequently increased. The Tettigonioidea species are distributed at various altitudes while Grylloidea species are primarily distributed at low altitudes. Because Truljalia tylacantha, Ruidocollaris truncatolobata, Goniogryllus punctatus and some other species are only distributed in a narrow scope at high altitudes, they can be used as indicator species for climate change in Tianmu Mountain. Table and Figures | Reference | Related Articles | Metrics

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XUE Peng Journal of East China Normal University(Natural Sc    2015, 2015 (S1): 180-184.   DOI: 10.3969/j.issn.1000-5641.2015.z1.029 Abstract （931）      PDF （573KB）（2488）       Knowledge map    Related Articles | Metrics

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Disinfection effect of seven frequently used disinfectants on bacteriophage MS2 Yu LI, Zhenming GE Journal of East China Normal University(Natural Science)    2023, 2023 (2): 161-167.   DOI: 10.3969/j.issn.1000-5641.2023.02.017 Abstract （506）   HTML （18）    PDF （1485KB）（499）       Knowledge map    In this study, the MS2 phages were used as an indicator microorganism to test the function of seven disinfectants with different components: hydrogen peroxide, ethanol, fermented lactic acid disinfectant, iodine disinfectant, quaternary ammonium disinfectant, chlorine-containing disinfectant, and peracetic acid disinfectant. Our results showed that the virus disinfection rate varied notably between the selected disinfectants. The iodine disinfectant exhibited the strongest disinfection effect, followed by the quaternary ammonium salt disinfectant and the peracetic acid disinfectant, while the disinfection effects of hydrogen peroxide, ethanol, and fermentation lactic acid disinfectant were inadequate. The test results provide a reference for the efficient utilization of various disinfectants to eliminate harmful microorganisms in the environment. Table and Figures | Reference | Related Articles | Metrics

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Study of electronic structures and the micro-solvation effect of SO3– and HSO3– in atmospheric aerosols Jianan CHEN, Zhipeng LI, Yanrong JIANG, Zhubin HU, Haitao SUN, Zhenrong SUN Journal of East China Normal University(Natural Science)    2022, 2022 (1): 31-42.   DOI: 10.3969/j.issn.1000-5641.2022.01.005 Abstract （470）   HTML （49）    PDF （942KB）（1222）       Knowledge map    In this study, we used negative ion photoelectron spectroscopy (NIPES) combined with quantum chemical calculation to explore the electronic structures, micro-solvation effect, and stabilization mechanism of two compounds, SO3– and HSO3–, that are readily abundant in the atmosphere. Vertical detachment energies of (3.31 ± 0.02) and (3.91 ± 0.02) eV and adiabatic detachment energies of (3.02 ± 0.05) and (3.56 ± 0.05) eV were measured for SO3– and HSO3–, respectively. These results are reproduceable when using a nuclear ensemble approach and Dyson orbitals in the calculation. The typical density of states method, however, cannot demonstrate the nuclear vibration effect, ionization probability, and orbital relaxation effect during the ionization process. We studied the micro-solvation effect of HSO3–·(H2O)n (n = 0 ~ 5) and found that system stability was enhanced by an increase in the surrounding water molecules, whereby electrostatic interaction played a dominant role and the induction effect made an increasingly important contribution. We believe this work will help improve the modeling of atmospheric sulfate aerosols and provide a scientific basis for the effective control of haze formation. Table and Figures | Reference | Related Articles | Metrics

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Prompting open-source code large language models for student program repair Zhirui CHEN, Xuesong LU Journal of East China Normal University(Natural Science)    2024, 2024 (5): 93-103.   DOI: 10.3969/j.issn.1000-5641.2024.05.009 Abstract （76）   HTML （5）    PDF （906KB）（85）       Knowledge map    Advancements in machine-learning technology has enabled automated program-repair techniques that learn human patterns of erroneous-code fixing, thereby assisting students in debugging and enhancing their self-directed learning efficiency. Automatic program-repair models are typically based on either manually designed symbolic rules or data-driven methods. Owing the availability of large language models that possess excellent natural-language understanding and code-generation capabilities, researchers have attempted to use prompt engineering for automatic program repair. However, existing studies primarily evaluate commercial models such as Codex and GPT-4, which may incur high costs for large-scale adoption and cause data-privacy issues in educational scenarios. Furthermore, these studies typically employ simple prompt forms to assess the program-repair capabilities of large language models, whereas the results are not analyzed comprehensively. Hence, we evaluate two representative open-source code large language models with excellent code-generation capability using prompt engineering. We evaluate different prompting methods, such as chain-of-thought and few-shot learning, and analyze the results comprehensively. Finally, we provide suggestions for integrating large language models into programming educational scenarios. Table and Figures | Reference | Related Articles | Metrics

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Electrodeposition performance of a copper-based catalyst for the electroreduction of CO2 Meng’en CHU, Chunjun CHEN, Haihong WU, Mingyuan HE, Buxing HAN Journal of East China Normal University(Natural Science)    2023, 2023 (1): 129-139.   DOI: 10.3969/j.issn.1000-5641.2023.01.013 Abstract （797）   HTML （34）    PDF （4857KB）（662）       Knowledge map    To improve the catalytic performance of copper-based catalysts in the electroreduction of CO2, nitrotriacetic acid (NTA) was used as an additive to prepare copper-based catalysts having a three-dimensional structure by applying electrodeposition. The prepared catalysts exhibited excellent selectivity and activity for the electroreduction of CO2 to multi-carbon (C2+) products. At –1.26 V vs. RHE, the faradaic efficiency of C2H4 and C2+ products over the Cu-0.5/CP electrode reached 44.0% and 61.6%, respectively, and the total current density reached 12.3 mA·cm–2. In addition, Pd- and Zn-based catalysts were prepared by employing electrodeposition; the results showed that their selectivity for CO was significantly improved, proving that NTA has a certain universality in the preparation of electrocatalysts by using electrodeposition. Table and Figures | Reference | Related Articles | Metrics

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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 （1384）   HTML （41）    PDF （1081KB）（916）       Knowledge map    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

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Effect of different preservative film packages on the quality of fresh-cut Hami melons ZHOU Ren-jia, QIAO Yong-jin, WANG Hai-hong, CHEN Zhao-liang Journal of East China Normal University(Natural Sc    20120, 2012 (6): 131-138.   Abstract （1982）   HTML （261）    PDF （1602KB）（2405）       Knowledge map    In order to define the effect of different preservative films on quality of fresh-cut Hami melon, the fresh-cut Hami melons were packaged by PE film, PE microbore film, OPP film and PVC film with the thickness of 0.03 mm, stored at 5 ℃ and 85%~95% RH for 13 days, testing their respiration rate, weight loss rate, firmness, luminosity, content of total soluble solid and vitamin C, activity of PG and CX, and sensory characteristics at days of 0, 1, 4, 7, 10, 13. Fresh-cut Hami melons packaged with 0.03 mm PE film showed low respiration rate and moisture loss, maintained content of total soluble solid, vitamin C, firmness and luminosity well, restrained the activity of PG and CX obviously. PE film (0.03 mm) is the optimal package film for fresh-cut Hami melon. Overall fresh-cut Hami melon packaged with it, stored at 5 ℃ and 85%~95% RH for 10 days still maintained good commodity value. Reference | Related Articles | Metrics

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Analyzing reviews for rating prediction and item recommendation GAO Yi-fan,YU Wen-zhe,CHAO Ping-fu,ZHENG Zhi-ling,ZHANG Rong Journal of East China Normal University(Natural Sc    2015, 2015 (3): 80-90.   DOI: 10.3969/j.issn.1000-5641.2015.03.010 Abstract （1387）      PDF （2298KB）（3160）       Knowledge map    Recommender systems are widely deployed in Web applications that need to predict the preferences of users to items. They are popular in helping users find movies, books, music, and products in general. In this work, we design a method for item recommendation based on a novel model that captures correlations between hidden aspects in reviews and numeric ratings. It is motivated by the observation that a user’s preference against an item is affected by different aspects discussed in reviews. Our method first explores topic modeling to discover hidden aspects from review text. Profiles are then created for users and items separately based on aspects discovered in their reviews. Finally, we utilize logistic regression to model the user item relationship and the rating is modeled as the similarity between user and item profiles. Experiments over real world reviews demonstrate the advantage of our proposal over state of the art solution. Reference | Related Articles | Metrics

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Methods and progress in deep neural network model compression LAI Yejing, HAO Shanfeng, HUANG Dingjiang Journal of East China Normal University(Natural Science)    2020, 2020 (5): 68-82.   DOI: 10.3969/j.issn.1000-5641.202091001 Abstract （601）   HTML （52）    PDF （1132KB）（587）       Knowledge map    The deep neural network (DNN) model achieves strong performance using substantial memory consumption and high computational power, which can be difficult to deploy on hardware platforms with limited resources. To meet these challenges, researchers have made great strides in this field and have formed a wealth of relevant literature and methods. This paper introduces four representative compression methods for deep neural networks used in recent years: network pruning, quantization, knowledge distillation, and compact network design; in particular, the article focuses on the characteristics of these representative models. Finally, evaluation criteria and research prospects of model compression are summarized. Reference | Related Articles | Metrics