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    Research progress on the interaction mechanisms and combined toxicity of microplastics and antibiotics in aquatic environments
    Yongle ZHAO, Yan ZHANG
    J* E* C* N* U* N* S*    2026, 2026 (1): 25-42.   DOI: 10.3969/j.issn.1000-5641.2026.01.003
    Abstract (878)   HTML (17)    PDF(pc) (1347KB)(1518)       Save

    Microplastics and antibiotics are emerging contaminants that have become a major focus of current research. Data from Chinese and English databases were compiled to assess their distribution, adsorption mechanisms, and biological hazards in aquatic environments across China. Microplastic levels were highest in reservoirs (4.70~27.5 items/L, average 12.08 items/L), followed by rivers (average 8.83 items/L), and lowest in lakes (average 6.19 items/L). Average antibiotic concentrations were greatest in rivers (102.93 ng/L), exceeding those in lakes (34.37 ng/L) and reservoirs (43.91 ng/L). Van der Waals forces consistently occur between microplastics and antibiotics, while higher polarity MPs readily form hydrogen bonds. Functional groups facilitated π-π interactions and aging microplastics expose more oxygen-containing functional groups that significantly enhance adsorption. Once ingested, microplastic-antibiotic complexes can accumulate in organs, inhibit growth, alter biological structures under prolonged exposure, and promote the spread of antibiotic resistance genes. Effective mitigation requires strengthening control of emission sources, improved recycling systems, adoption of biodegradable plastics, and strengthening research on adsorption processes and combined toxicity under real-world conditions.

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    Carbon emissions accounting and carbon emissions reduction benefits of sponge city construction based on life cycle assessment
    Xingyan BAO, Ruihui CHENG, Sheng XIE, Zhaokang WU, Haiyan KUAI, Boxiao ZHANG, Bowen LYU, Kai YANG
    J* E* C* N* U* N* S*    2025, 2025 (6): 94-105.   DOI: 10.3969/j.issn.1000-5641.2025.06.011
    Abstract (750)   HTML (7)    PDF(pc) (1503KB)(584)       Save

    In response to the new requirements for systematic sponge city development under China’s “carbon peaking and carbon neutrality” strategy, scientifically evaluating the carbon emissions and carbon emission reduction benefits of sponge city construction holds significant theoretical and practical value. This study took Wuhu, a national sponge demonstration city, as an example. Taking on the perspective of the whole life cycle, and combining the emission factor method and the Technical Guidelines for Carbon Emission Accounting for Sponge City Construction in Anhui Province, this study utilized the carbon emission accounting method for sponge cities that is applicable to engineering in practice, and evaluated the carbon emission and emissions reduction results of four types of typical sponge projects in 2022. Based on this, the study took a residential community as a representative example and employed the NSGA-Ⅱ algorithm to explore strategies for achieving synergistic carbon emissions reduction by optimizing the configuration of multiple types of sponge facilities. The results indicate the following. (1) The carbon emissions from sponge city projects in Wuhu are primarily concentrated in the construction phase, with total emissions of 11438.6 t. Among these, material production and transportation account for 53% and 36%, respectively, indicating considerable potential for emissions reduction. (2) During the operational phase, sponge cities largely rely on sustained natural processes to function, with the carbon reduction effects being relatively concentrated in this stage. The total carbon emissions during this phase are approximately –242.3 t. Assuming that existing operational conditions are maintained without any new facilities, sponge facilities are expected to achieve a cumulative carbon reduction of 7269.7 t in 30 years. Although the annual carbon reduction is relatively limited, long-term operation can gradually offset carbon emissions from the construction phase, demonstrating strong carbon neutrality potential. (3) In terms of specific facility types, green stormwater infrastructure such as grassed swales (4.95 kg/m2) and sunken green spaces (11.35 kg/m2) exhibit relatively low carbon emissions intensities during the construction phase. The carbon reduction benefits of sponge facilities in the operation stage are significantly influenced by their functional characteristics and the scale of implementation. (4) Taking a residential community as an example, and based on the annual total runoff control rate requirement, the coordinated carbon reduction capacity of sponge facilities can be enhanced by reasonably adjusting the scales of sunken green spaces, permeable pavements, rain gardens, and grassed swales. This study provides a quantitative evaluation of multi-facility sponge city systems from a holistic perspective, offering methodological support and a theoretical reference for the development of low-carbon urban drainage systems.

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    Effects of soil conditioners on soil properties and vegetable growth in an open-pit coal mine dump
    Xiaoliang JIAO, Xinxin YU, Heyi GONG, Kun SONG, Liangjun DA
    J* E* C* N* U* N* S*    2025, 2025 (6): 106-115.   DOI: 10.3969/j.issn.1000-5641.2025.06.012
    Abstract (717)   HTML (6)    PDF(pc) (760KB)(558)       Save

    This study addresses the challenge of water and nutrient deficiencies in the planted soil of spoil dumps in open-pit coal mines by investigating the effectiveness of soil amendments containing a water-retaining agent, organic fertilizer, and microbial inoculant in enhancing soil properties and promoting plant growth. A pot experiment was conducted using Brassica rapa var. chinensis as the model plant to evaluate the effects of different amendment dosages. Key soil parameters were analyzed, including pH, electrical conductivity, alkali-hydrolyzable nitrogen, available phosphorus, available potassium, and organic matter content. Plant growth indicators such as plant height, leaf number, and dry biomass were measured. The findings indicated that applying the water-retaining agent and organic fertilizer significantly improved soil properties and promoted plant growth, whereas the microbial inoculant did not produce statistically significant effects. The optimal combined effect of the amendments on soil properties and plant growth was achieved at a water-retaining agent dosage of 5‰ and an organic fertilizer dosage of 30%.

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    Effects of typhoons landfalling on the north bank of Hangzhou Bay, Shanghai, on saltwater intrusion in the Changjiang River Estuary: A case study of typhoons “Bebinca” and “Pulasan” in September 2024
    Cheng QIU
    J* E* C* N* U* N* S*    2025, 2025 (6): 141-151.   DOI: 10.3969/j.issn.1000-5641.2025.06.015
    Abstract (714)   HTML (8)    PDF(pc) (4155KB)(542)       Save

    Saltwater intrusion in the Changjiang River Estuary is generally considered a key threat to urban water supply security, and the risks may be exacerbated under the weather conditions of concurrent typhoons and low river discharge. Taking the successive landfalls of typhoons “Bebinca” and “Pulasan” along the north bank of Hangzhou Bay, Shanghai, in September 2024, as examples, we employed a high-resolution 3D estuarine saltwater intrusion numerical model to simulate the differential impacts of the typhoons on saltwater intrusion in the Changjiang River Estuary. The results indicated that whereas the onshore wind-driven circulation promoted a significant enhancement of the frontal intrusion upstream of saltwater in the North Channel during the landfall of typhoon “Bebinca,” the circulation weakened the saltwater intrusion in the South Passage. In contrast, given its less intense strength and deflected track, typhoon “Pulasan” had a comparatively limited impact on the frontal intrusion in the North Channel. Given their limited duration, the short-term storm surges induced by the typhoons, which coincided with spring tides, caused comparatively little saltwater spillover from the North Branch into the South Branch. The findings of this study reveal the response mechanisms of saltwater intrusion to the landfall of typhoons on the north bank of Hangzhou Bay. This will provide a scientific basis for defense against compound natural disasters involving the combined effects of typhoons and saltwater intrusion on urban water supplies under extreme climate conditions.

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    Occurrence characteristics and risk assessment of microplastics in industrial wastewater from key industries in the Taihu Lake Basin
    Yangyang HU, Chang LIU, Chengjin CAO, Junhao LI, Liuxing WU, Ruiyun ZHU, Minsheng HUANG, Yan HE, Haochen DU, Lei WANG, Xinlin YAN
    J* E* C* N* U* N* S*    2026, 2026 (1): 14-24.   DOI: 10.3969/j.issn.1000-5641.2026.01.002
    Abstract (713)   HTML (14)    PDF(pc) (1087KB)(1153)       Save

    Microplastic pollution in the natural environment is a significant contemporary ecological challenge, with industrial sources constituting critical emission pathways. In this study, the distribution characteristics of microplastics in wastewaters from key industrial sectors (printing and dyeing, chemical, and electroplating) in the Taihu Lake Basin were investigated. The average microplastic abundance in various industrial wastewaters was found to range from 236.5 to 1348.0 items/L and predominantly comprised polyethylene terephthalate (PET), polypropylene (PP), and polyethylene (PE) in fibrous forms (<1 mm). In municipal wastewater treatment plants, the average microplastic abundance was 84.2 items/L, with the particles exhibiting uniformly distributed shapes dominated by PP and PET (<1 mm). Although statistical similarities in microplastic composition were observed between industrial and treated wastewaters, the actual correlation was weak, suggesting that industrial effluents serve as distinct sources of microplastics. The risk assessment classified printing and dyeing and chemical wastewaters as “extremely hazardous,” whereas electroplating and treated wastewaters were classified as “hazardous.” These findings underscore the need for stringent pollutant-source control and advanced treatment technologies to mitigate microplastic pollution in aquatic environments.

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    A study on the control effectiveness of Spartina alterniflora based on combined cutting and herbicide application measures
    Zongyue LIU, Yunyi CHI, Qiang WANG
    J* E* C* N* U* N* S*    2025, 2025 (6): 116-127.   DOI: 10.3969/j.issn.1000-5641.2025.06.013
    Abstract (708)   HTML (4)    PDF(pc) (2219KB)(592)       Save

    Spartina alterniflora is a globally invasive plant that has caused significant damage to coastal ecosystems, including biodiversity loss, decline of native vegetation, alteration of benthic communities, and degradation of bird habitats. Effective control of S. alterniflora is therefore critical for coastal ecological conservation. Current control methods—physical, chemical, biological, and integrated—have limitations: physical removal alone is often inefficient, and chemical control poses risks of ecological pollution. This study evaluates an integrated approach combining mechanical cutting with low-dose herbicide application to improve control efficacy and assesses its impact on soil microbial diversity. In August 2022, two sites with uniformly growing S. alterniflora were selected, each divided into 21 quadrats of 1 m × 1 m. One site was mowed at the end of August, while the other remained uncut. In September, three concentrations of Haloxyfop-P-methyl (HP) and Glyphosate (GP) were applied. Plant responses were monitored during the flowering stage (September), seed-setting stage (October), the end of the growing season (December), and the following April. Four treatments were compared: HP alone, GP alone, cutting followed by HP, and cutting followed by GP. Soil samples were collected from herbicide-treated and control quadrats for physicochemical analysis. High-throughput sequencing was used to characterize bacterial and fungal community structure and diversity. Data were analyzed using one-way ANOVA with LSD post-hoc tests following validation of homogeneity of variances (Levene’s test). Results showed that: (1) Cutting followed by HP application during the flowering stage effectively controlled S. alterniflora, with a dose of 150 mg/m2 achieving 98.93% control efficiency by the end of the growing season, while doses of 300 mg/m2 and 600 mg/m2 achieved complete plant mortality; all doses significantly inhibited regrowth the following year, with suppression rates of 93.49%, 92.68%, and 96.48%, respectively. (2) Cutting during flowering significantly reduced the sexual reproduction capacity of regenerated plants. (3) Although the combined treatment reduced the relative abundance of Ascomycota in soil fungi, it did not significantly affect overall bacterial or fungal diversity. The combined treatment of cutting followed by Haloxyfop-P-methyl application at 150 mg/m2 effectively controls S. alterniflora and strongly suppresses its regrowth without causing significant adverse effects on soil microbial diversity, supporting the development of efficient and environmentally sustainable management strategies for this invasive species.

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    Research on video question answer for the development of theory of mind
    Yuanyuan MAO, Xin LIN, Qin NI, Ciping DENG, Yiming MA
    J* E* C* N* U* N* S*    2025, 2025 (6): 46-52.   DOI: 10.3969/j.issn.1000-5641.2025.06.006
    Abstract (704)   HTML (5)    PDF(pc) (664KB)(167)       Save

    In recent years, with the continuous development of machine theory of mind (ToM), research has found that the development of machine ToM differs significantly from the triangular model of children’s ToM development. Consequently, we propose a machine-oriented theory of mind triangular model. This model elucidates the relationships among various tools in the process of developing machine ToM. Additionally, we introduce an evaluation dataset suitable for the dynamic assessment of machine ToM. Finally, this paper designs a VideoQA(video question answer) model, named FOMemNet (fact and observer memory network), specifically tailored for cognitive reasoning—a model addressing belief, desire, and intention reasoning. Considering that models in cognitive reasoning tasks need to infer from the observer’s perspective, we incorporate the FOEM (vision fact and observer perception encoder module) module in FOMemNet for the fusion of multimodal features, thereby obtaining visual factual features and observer features. Subsequently, the model utilizes the FOF (fact and observer fusion) module and two memory modules to integrate features from both perspectives for obtaining a global representation. FOMemNet results in a 2.27% improvement of BDIQA. Our experiments demonstrate the effectiveness of the concept of fact and observer perception in enhancing cognitive reasoning abilities in VideoQA.

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    Tree temperature shift and regulation of various landscape tree species under high-temperature stress: A case study in Shanghai Chenshan Botanical Garden
    Ming LIU, Zhiyuan WANG, Kankan SHANG
    J* E* C* N* U* N* S*    2025, 2025 (6): 82-93.   DOI: 10.3969/j.issn.1000-5641.2025.06.010
    Abstract (661)   HTML (8)    PDF(pc) (2389KB)(322)       Save

    We have investigated the correlations between tree temperature and leaf physiological variables (net photosynthetic rate, respiration rate, and stomatal conductance) and functional traits (leaf area, leaf thickness, specific leaf weight and specific leaf area) by measuring tree temperatures using infrared thermal imager in Shanghai Chenshan Botanical Garden taking 37 tree species as sample. In general, the average temperature difference between the crown and the air is 0.6℃, while the average temperature difference between the trunk and the air is 2.1℃. Under high temperature stress, the temperature regulation mechanisms of different landscape tree species have significant differences. According to the regulation shifts of the tree temperature in response to high-temperature stress, tree species can be divided into 3 types, i.e., rising type, maintenance type, and descending type. Tree species with larger single-leaf areas, specific leaf areas, and thinner leaf thickness have relatively lower crown temperatures and higher physiological levels of leaves, resulting in relatively better cooling effects. This can be used as a reference for selecting suitable tree species for regulating microclimate.

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    Exploration of a multi-trophic serial recirculating aquaculture based on system ecology
    Tenzindolkar, Qiang WANG
    J* E* C* N* U* N* S*    2025, 2025 (6): 71-81.   DOI: 10.3969/j.issn.1000-5641.2025.06.009
    Abstract (654)   HTML (9)    PDF(pc) (1178KB)(1432)       Save

    Since the 1970s, the pursuit of high efficiency and output has driven aquaculture toward intensive and large-scale production, exemplified by flow-through and static high-density systems. While these models achieve high yields, their excessive biological loads and resource inputs result in severe resource waste and water pollution, hindering sustainable development. To overcome these limitations, In this study, we constructed a small-scale multi-trophic serial recirculating aquaculture (MSRA) system with four nutrient utilization tiers of Micropterus salmoides, Chlorella sp., Hyriopsis cumingii, and Vallisneria natans in series. Compared the operation, biological growth, water purification effect, and nitrogen utilization rate between the MSRA system and monoculture aquaculture (MA) system, the MSRA system demonstrated superior performance: Fish survival was improved in the MSRA system, based on biomass growth and feed utilization efficiency, which were 1.68 and 1.65 times higher, respectively, in the MSRA system than the MA system. The MSRA system effectively purified the aquaculture wastewater and significantly reduced the chemical oxygen demand and the total ammonia nitrogen and nitrite (${\mathrm{NO}}_2^- $-N) concentrations (p < 0.05). The nitrogen-use efficiency of the MSRA system was 27% higher than that of the MA system, and 11% higher than that of a traditional aquaponics system. These results showed that this aquaculture model realized zero discharge of aquaculture wastewater and improved the level of nutrient recycling within the system.

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    Coupled models of soil amendments and vegetation restoration for waste dump reclamation of open-pit coal mines
    Min QUAN, Xiangqian ZHU, Liangjun DA
    J* E* C* N* U* N* S*    2025, 2025 (6): 63-70.   DOI: 10.3969/j.issn.1000-5641.2025.06.008
    Abstract (623)   HTML (5)    PDF(pc) (840KB)(511)       Save

    Soil fertility is low and vegetation recovery is sluggish at the waste dumps in open-pit coal mines in Northwest China. Although soil amendment strategies for waste dumps are well-developed, vegetation restoration methods after soil amendment have been little explored. To address this, we conducted field experiments at a waste dump in the Heidaigou open-pit coal mine in Inner Mongolia. The experiments included three artificial vegetation reclamation approaches (establishing pastures, crops, or forests) and one natural vegetation recovery, all applied after soil amendment. We assessed the effects of combining soil amendment strategies with various vegetation restoration methods on the physicochemical attributes and belowground biomass at waste dumps. The results demonstrated that integrating soil amendments incorporating water-retaining substances and organic fertilizer into the upper 30 cm of the soil with artificial vegetation reclamation (establishing pastures, crops, or forests) substantially improved the soil nutrient profiles and belowground biomass within one year. This strategy was more effective than relying solely on natural vegetation recovery after soil amendment. However, none of the combinations of soil amendment and artificial vegetation reclamation quickly improved the soil pH level or electrical conductivity. Additionally, we observed positive correlations among soil organic matter, available phosphorus, and belowground biomass. The optimal strategy for rapidly augmenting soil fertility at waste dump sites is pairing soil amendments with forest reclamation. These insights provide valuable scientific guidance for the restoration of the waste dumps of open-pit coal mines throughout Northwest China.

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    Pollution characteristics and risk assessment of microplastics in urban landscape waters of Taiyuan City
    Tong ZHANG, Shulin KONG, Guanghan YAN, Minsheng HUANG, Yi YU, Yong’en CHEN, Ke LU
    J* E* C* N* U* N* S*    2026, 2026 (1): 1-13.   DOI: 10.3969/j.issn.1000-5641.2026.01.001
    Abstract (611)   HTML (20)    PDF(pc) (2399KB)(279)       Save

    To investigate the distribution characteristics and ecological risks of microplastics in landscape waters in Taiyuan City, surface water samples were collected from six park waters during the wet season (August) and dry season (November). The abundance, morphology, and polymer composition of microplastics were analyzed using a stereomicroscope and a Fourier transform infrared spectrometer (FTIR), and correlation analysis and ecological risk assessment were performed based on certain water quality parameters. The microplastic abundance in the dry season ((17.79±8.41) items/L) was found to be higher than that in the wet season ((7.75±4.30) items/L). The landscape water body in Binhe Country Park, located near the effluent outlet of a wastewater treatment plant, exhibited significantly higher microplastic abundance than other areas. The morphological characteristics were dominated by fibrous (79.35%~88.62%), blue (60.69%~78.64%), and small (0.02~2 mm, 84.80%~91.10%) particles. The primary polymer components were rayon (RY), polypropylene (PP), and polyethylene terephthalate (PET), indicating that domestic sewage and textile fiber migration were the primary sources of pollution. The distribution of microplastics was jointly influenced by hydrological conditions and nitrogen and phosphorus concentrations. The abundance in the wet season was negatively correlated with water temperature (p<0.05), and significantly positively correlated with ammonia nitrogen (${\mathrm{NH}}_4^+ $-N), nitrate nitrogen (${\mathrm{NO}}_3^- $-N), total phosphorus (TP), etc. (p<0.01) in the dry season. The ecological risks showed significant seasonal and spatial variation. During the dry season, the sampling sites at Forest Park, Longtan Park, and Jinci Park showed markedly elevated potential ecological risk index (PERI) values owing to the accumulation of high-toxicity polymers (polyacrylonitrile and polyurethane), and the risk level could reach Ⅳ−Ⅴ. This study may provide valuable insights for the pollution status and risk assessment of microplastics in urban landscape waters in northern cities.

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    Cold-start problem of federated recommendation systems based on conditional variational autoencoder
    Xinyue LYU, Xinli HUANG
    J* E* C* N* U* N* S*    2025, 2025 (6): 53-62.   DOI: 10.3969/j.issn.1000-5641.2025.06.007
    Abstract (604)   HTML (5)    PDF(pc) (1036KB)(511)       Save

    The cold-start problem of recommendation systems which affects recommendation quality, service experience, privacy, and security, has become one of the most challenging research hotspots in the field. Thus, our study proposed an integrated federated learning framework for conditional variational autoencoders (CVAE), termed as FedCVAE. Individual CVAE models were trained on each client’s local data to generate embeddings of users, items, and user interaction sequences. These embeddings were used as inputs for the essential recommendation model. The model’s global parameters were aggregated and updated at the server-side, which was subsequently disseminated back to the client-side to support local CVAE models in updating hyperparameters. While the model improves its accuracy in handling sparse data, it also enhances its ability to preserve privacy, thus effectively mitigating the cold-start problem. The experimental results indicate that in three typical cold-start scenarios, the model presented in this paper outperformed mainstream recommendation algorithms. The mean absolute error metric reduces by approximately 0.8% ~ 5.5%, and the Hit@5 metric improves by approximately 1.2% ~ 5.7%. The model demonstrated superior performance, delivering high-quality recommendation services that balance personalized experiences and enhanced privacy protection.

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    Construction and case analysis of ecological control approach for agricultural non-point source pollution in plain river network areas
    Rui ZHAO, Xiaohua CHEN, Yiyang LIU
    J* E* C* N* U* N* S*    2026, 2026 (1): 120-131.   DOI: 10.3969/j.issn.1000-5641.2026.01.011
    Abstract (597)   HTML (10)    PDF(pc) (2712KB)(636)       Save

    Agricultural non-point source pollution in plain river network areas originates from diverse sources and exhibits complex compositions. Although various governance practices have been implemented across regions, accurately selecting ecological control approaches suited to local characteristics remains a pressing challenge. Focusing on the Yangtze River Delta, this research systematically reviews regional experiences in agricultural non-point source pollution control through field investigations; and identifies three core approaches: in-field ecological transformation, pond-field integration, and agro-(forestry-)wetland complexes. To further verify their effectiveness, the study concentrates on pond-field integration and agro-(forestry-)wetland complexes by selecting Qingpu, Jiading, and Songjiang Districts of Shanghai as representative cases. By monitoring water quality before and after centralized treatment of farmland drainage, the reduction rates of major pollutant indicators were quantitatively assessed. The findings provide empirical data and practical reference for the systematic and precise control of agricultural non-point source pollution in the Yangtze River Delta, and offer valuable insights for selecting appropriate approaches in similar plain river network areas.

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    Invasion status and risk assessment of Pomacea canaliculata in nearshore waters of Shanghai’s circum-urban greenbelt parks
    Yi YU, Longyuan ZHAO, Minsheng HUANG, Changneng QIU, Yao ZHOU, Yangyang YI
    J* E* C* N* U* N* S*    2026, 2026 (1): 156-167.   DOI: 10.3969/j.issn.1000-5641.2026.01.015
    Abstract (564)   HTML (13)    PDF(pc) (1888KB)(383)       Save

    To elucidate the invasion status and driving factors of channeled apple snail (Pomacea canaliculata) in Shanghai’s circum-urban greenbelt park riparian waters, field surveys were conducted between 2023—2024. Spatiotemporal analysis revealed that invasion hotspots clustered in Baoshan, Putuo, Jiading, Changning, and Pudong districts, with snail density positively correlated with external hydrological connectivity. The population activity peaked in July—September, coinciding with an oviposition climax in July—August. Correlation analyses were conducted to identify the key environmental factors influencing snail distribution, activity, and reproduction; the results revealed that water temperature served as the pivotal driver. Specifically, both water temperature and air temperature exhibited a significant positive correlation with snail density and egg mass density. Snail density increased with the elevation of electrical conductivity and turbidity, but showed a decreasing trend with the increase in submerged macrophyte density, total nitrogen, and nitrate nitrogen. Egg mass density declined as NO3–-N and dissolved phosphorus concentrations rose, but displayed a positive trend with the increase in ammonia nitrogen concentration. Invasion severity assessment classified most sites as “Occurrence”, whereas specific loci reached “Severe outbreak”. It is imperative that Shanghai’s Circum-urban Greenbelt Parks implement control measures against Pomacea canaliculata.

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    Comparative study on the molluscicidal effects of three plant extracts against Pomacea canaliculata
    Tong ZHANG, Longyuan ZHAO, Guanghan YAN, Shulin KONG, Minsheng HUANG, Mengyuan YU, Yangyang YI
    J* E* C* N* U* N* S*    2026, 2026 (1): 78-86.   DOI: 10.3969/j.issn.1000-5641.2026.01.007
    Abstract (564)   HTML (7)    PDF(pc) (695KB)(499)       Save

    To investigate the molluscicidal activity, hepatotoxic effects, and environmental toxicity of extracts from Asclepias curassavica, Phytolacca americana, and Cicuta virosa against Pomacea canaliculata, the present study systematically evaluated their effects at varying concentrations and exposure times based on an immersion method. Key hepatic physiological indicators and residual toxicity in water were also measured. All three plant extracts exhibited dose- and time-dependent molluscicidal effects. A. curassavica demonstrated the highest toxicity (48 h LC50=0.270 mL/L), being 3.03 times and 3.97 times more potent than P. americana (0.819 mL/L) and C. virosa (1.071 mL/L), respectively. Physiological indicators in the hepatopancreas indicated that toxic damage induced by A. curassavica and C. virosa was the most pronounced. This was reflected by a decrease in the levels of biomarkers associated with organismal damage, such as total protein (TP), malondialdehyde (MDA), and catalase (CAT), alongside an increase in activities of enzymes closely related to hepatic detoxification function, including acetylcholinesterase (AChE), glutathione S-transferase (GST), and alanine aminotransferase (ALT). Residual aquatic toxicity results demonstrated that A. curassavica caused the highest inhibition rate in luminescent bacteria (75% at LC75), whereas P. americana posed the lowest ecological risk (56% inhibition rate). Compared to traditional chemical molluscicides, the A. curassavica and P. americana extracts exhibit higher ecological safety, rendering them more suitable for eco-friendly control applications and demonstrating significant potential for development as botanical molluscicides.

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    Dual decision adaptive freezing for fast and accurate transfer learning
    Zefeng HE, Fuke SHEN, Tongquan WEI
    J* E* C* N* U* N* S*    2025, 2025 (6): 29-38.   DOI: 10.3969/j.issn.1000-5641.2025.06.004
    Abstract (546)   HTML (6)    PDF(pc) (1669KB)(306)       Save

    With the rapid development of deep learning, model size and accuracy have been increasing. However, in the quest for greater accuracy, large training datasets are often necessary for training, which often slows down training and exacerbates carbon emissions. To address these challenges, researchers have proposed a number of approaches, including transfer learning. However, existing transfer learning methods either fine-tune the entire network or only a part of it, such as the final classifier layer. The former often leads to slow migration training, and the latter reduces the accuracy of migration training. To solve these problems, a dual-decision adaptive freezing (DDAF) method is proposed for the transfer learning process. First, a group decision module is used to decide on the layers of the neural network that may require freezing. Subsequently, a layer decision module is used to reach a decision on these layers and determine the layers to eventually freeze, thereby finally freezing the layers that need to be frozen, to minimize the possibility of erroneous freezing, improve the accuracy of training, and accelerate the speed of transfer learning training. Extensive experiments showed that the proposed method improved training speed by 1.97 times with minimal loss of accuracy compared to the traditional method of fine-tuning the entire network and significantly improved the accuracy by 34.52% with minimal loss of training speed compared to fine-tuning only the last layer.

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    New wastewater treatment technologies advance carbon neutrality: Pathways, mechanisms, and outlook
    Qixing ZHOU, Hui WANG, Siwen CHENG
    J* E* C* N* U* N* S*    2026, 2026 (1): 87-98.   DOI: 10.3969/j.issn.1000-5641.2026.01.008
    Abstract (544)   HTML (15)    PDF(pc) (1879KB)(1727)       Save

    The synergistic transformation toward pollution and carbon reduction of the wastewater treatment sector, a key source of carbon emissions, is of strategic importance for achieving carbon neutrality. This paper systematically reviews emerging technologies that empower carbon neutrality in wastewater treatment, focusing on bioenhancement, resource recovery and energy self-sufficiency, novel functional materials, natural and hybrid systems, and digital synergistic coupling models, while clarifying the carbon-reduction mechanisms and application value of each technical pathway. The study found that bioenhancement reduces greenhouse gas emissions and energy consumption by revolutionizing microbial metabolic routes. Resource-recovery technologies convert organic pollutants into clean energy, driving treatment systems toward energy self-sufficiency while creating carbon-sink effects. Novel functional materials lower carbon-emission intensity by selectively capturing greenhouse gases and accelerating electron transfer. Natural and hybrid systems actively sequester carbon and regenerate energy through ecological cycling, and digital synergistic coupling transforms wastewater treatment plants from carbon emitters into carbon-asset producers via whole-process intelligent control. Currently, large-scale application of these emerging technologies is hindered by difficult microbial regulation, inadequate monitoring systems, lagging carbon-accounting standards, and an imbalance between economic cost and environmental benefit. Future efforts should coordinate technology R&D, policy mechanisms, and industrial ecosystems by strengthening functional-microbe regulation, building modular technology systems, and perfecting carbon-trading policies and green-finance instruments, thereby upgrading the wastewater treatment industry from a traditional energy consumer to a resource-output hub and offering a systematic solution for global carbon neutrality.

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    Electricity theft detection based on transfer learning and attention hybrid neural network
    Lishen CHEN, Peng PU, Jianghai QIAN
    J* E* C* N* U* N* S*    2025, 2025 (6): 19-28.   DOI: 10.3969/j.issn.1000-5641.2025.06.003
    Abstract (543)   HTML (10)    PDF(pc) (743KB)(544)       Save

    In this study, several issues with current electricity theft detection methods are addressed, notably the reliance on one-dimensional electricity load time series data to develop a singular model. These approaches are often plagued by low detection accuracy, and they require extensive training parameters and a significant number of training samples when computer vision models are directly applied to two-dimensional images of electricity load time series. To overcome these challenges, a novel electricity theft detection method that utilizes a hybrid neural network, combining transfer learning and attention mechanisms, is proposed. The training demands of the ConvNeXt model are reduced via the integration of transfer learning, significantly enhancing its performance. Additionally, a bi-directional long short-term memory (BiLSTM) model is integrated to support the training of the refined ConvNeXt model by extracting global nonlinear features from one-dimensional load time-series data. Furthermore, SimAM and multi-headed self-attention (MHSA) mechanisms are incorporated to improve the feature representation capability of the hybrid model. The experimental verification of the proposed method in the China State Grid public dataset shows that $A_{\mathrm{UC}} $, $M_{{\text{AP@}}100} $, $ M_{{\text{AP@}}200}$, and $F_1 $ metrics of the proposed model can be effectively enhanced when compared to those of other deep learning classification models. For example, $F_1 $ is improved by 9.1% compared to that obtained via t-LeNet algorithm.

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    Research progress on the effect of carbon source on biological denitrification in nitrogen-containing wastewater
    Hanlin WANG, Jiale LI, Yihui DONG, Zhanxue SUN, Jun’ao WANG, Yuxin HUANG
    J* E* C* N* U* N* S*    2026, 2026 (1): 110-119.   DOI: 10.3969/j.issn.1000-5641.2026.01.010
    Abstract (534)   HTML (17)    PDF(pc) (1197KB)(350)       Save

    As a stable nitrogen pollutant, nitrate is widely present in water, and high quantities can cause harm to the environment and to human health. Heterotrophic denitrification technology is commonly used in nitrogen-containing wastewater treatment because it is economical and efficient. The carbon source plays a very important role in this process as an electron donor. When the carbon source in the system is insufficient, an external carbon source needs to be added to ensure the denitrification effect. The denitrification rate of liquid carbon sources is high, because they can be directly used by microorganisms without hydrolysis or simple conversion, and the electron donor transfer is rapid, the path is simple, and the reaction speed is fast. However, the control accuracy is high, and excessive dosing can easily lead to excessive effluent DOC and secondary pollution. The denitrification rate of solid carbon sources is relatively low, and they need to be hydrolyzed or enzymatically hydrolyzed into small molecular organic matter before use. The carbon source is slowly released, and the electron donor transfer path is complex but more durable and stable, which can reduce the risk of carbon source waste and secondary pollution. In terms of microbial community, liquid carbon sources have a single component, which makes it easier for the microorganisms relying on these carbon sources to become the dominant flora and reduces community diversity. The carbon-release process of solid carbon sources is complex, which can enrich diverse functional bacteria and lead to higher community diversity. In terms of equipment and cost, liquid carbon sources need a high-precision control system, with high equipment costs; the solid-phase carbon-source process is simple and does not require complex dosing equipment. The price of natural materials is low; the cost of synthesizing polymers is high; and blockage problems may arise.

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    The ergodicity of population dynamics driven by truncated α-stable processes
    Zhenzhong ZHANG, Xiaofan GU, Junbo TONG, Xin ZHAO, Xinping LI
    J* E* C* N* U* N* S*    2025, 2025 (6): 1-13.   DOI: 10.3969/j.issn.1000-5641.2025.06.001
    Abstract (533)   HTML (13)    PDF(pc) (689KB)(115)       Save

    In order to study the dynamic behavior of biological populations in complex environments, we consider an n-dimensional population model driven by a truncated α-stable process. First of all, a generalized Khasminskii theorem for pure jump systems has been established. Then, the regular points such a system are discussed. Finally, we give a sufficient criterion to verify ergodicity for such a pure jump population dynamic system.

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