With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Educa...With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Education Press in the second semester of seventh grade is taken as an example,focusing on the feasibility of using AI tools for lesson preparation.Through the Meta Sota AI special topic,Kimi,deepseek,and Baidu AI images,lesson preparation is completed.Using Coze intelligent agents,interactive learning scenarios are developed to complete teaching design.Research has shown that AI technology can effectively improve the efficiency and quality of lesson preparation,and can assist in the implementation of core competencies in geography.This paper can provide a reference for the operability of AI empowering educational and teaching activities.展开更多
To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrate...To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrated grid-following control mode,allowing smooth switching between GFL and GFM modes.First,impedance models of GFL and GFM PV energy storage VSG systems were established,and grid stability was analyzed.Second,an online impedance identification method based on voltage fluctuation data screening was proposed to enhance the accuracy of impedance identification.Additionally,a PV energy storage GFM/GFL VSG smooth switching method based on current inner loop compensation was introduced to achieve stable grid-connected operation of distributed photovoltaics under changes in strong and weak power grids.Finally,a grid stability analysis was conducted on the multi-machine parallel PV ESS,and a simulation model of a multi-machine parallel PV ESS based on current inner loop compensation was established for testing.Results showed that,compared to using a single GFM or single GFL control for the PV VSG system,the smooth switching method of multi-machine parallel PV ESS effectively suppresses system resonance under variations in power grid strength,enabling adaptive and stable grid-connected operations of distributed PV.展开更多
In recent years, with the development of technologies such as the Internet of Things(Io T), big data and cloud computing, digital twin technology has gradually been applied in marine research. The digital twin realize...In recent years, with the development of technologies such as the Internet of Things(Io T), big data and cloud computing, digital twin technology has gradually been applied in marine research. The digital twin realizes real-time monitoring, analysis and optimization of the state and behavior of a physical object or system by creating a virtual model. Research shows that digital twin technology has extensive application potential in ship design, marine resource development, marine equipment engineering design and optimization, marine ecological protection and early warning of disasters. Although digital twin technology has great potential in marine research, it also faces many challenges, including the complexity of data acquisition and processing, the accuracy and real-time performance of model construction, and the need for multidisciplinary cross-integration. An in-depth analysis of the technical bottlenecks and future development directions will provide an important reference for subsequent research and promote the further application and development of digital twin technology in marine research.展开更多
With the rapid development of transportation infrastructure,ensuring road safety through timely and accurate highway inspection has become increasingly critical.Traditional manual inspection methods are not only time-...With the rapid development of transportation infrastructure,ensuring road safety through timely and accurate highway inspection has become increasingly critical.Traditional manual inspection methods are not only time-consuming and labor-intensive,but they also struggle to provide consistent,high-precision detection and realtime monitoring of pavement surface defects.To overcome these limitations,we propose an Automatic Recognition of PavementDefect(ARPD)algorithm,which leverages unmanned aerial vehicle(UAV)-based aerial imagery to automate the inspection process.The ARPD framework incorporates a backbone network based on the Selective State Space Model(S3M),which is designed to capture long-range temporal dependencies.This enables effective modeling of dynamic correlations among redundant and often repetitive structures commonly found in road imagery.Furthermore,a neck structure based on Semantics and Detail Infusion(SDI)is introduced to guide cross-scale feature fusion.The SDI module enhances the integration of low-level spatial details with high-level semantic cues,thereby improving feature expressiveness and defect localization accuracy.Experimental evaluations demonstrate that theARPDalgorithm achieves a mean average precision(mAP)of 86.1%on a custom-labeled pavement defect dataset,outperforming the state-of-the-art YOLOv11 segmentation model.The algorithm also maintains strong generalization ability on public datasets.These results confirm that ARPD is well-suited for diverse real-world applications in intelligent,large-scale highway defect monitoring and maintenance planning.展开更多
This paper proposes an equivalent modeling method for photovoltaic(PV)power stations via a particle swarm optimization(PSO)K-means clustering(KMC)algorithm with passive filter parameter clustering to address the compl...This paper proposes an equivalent modeling method for photovoltaic(PV)power stations via a particle swarm optimization(PSO)K-means clustering(KMC)algorithm with passive filter parameter clustering to address the complexities,simulation time cost and convergence problems of detailed PV power station models.First,the amplitude–frequency curves of different filter parameters are analyzed.Based on the results,a grouping parameter set for characterizing the external filter characteristics is established.These parameters are further defined as clustering parameters.A single PV inverter model is then established as a prerequisite foundation.The proposed equivalent method combines the global search capability of PSO with the rapid convergence of KMC,effectively overcoming the tendency of KMC to become trapped in local optima.This approach enhances both clustering accuracy and numerical stability when determining equivalence for PV inverter units.Using the proposed clustering method,both a detailed PV power station model and an equivalent model are developed and compared.Simulation and hardwarein-loop(HIL)results based on the equivalent model verify that the equivalent method accurately represents the dynamic characteristics of PVpower stations and adapts well to different operating conditions.The proposed equivalent modeling method provides an effective analysis tool for future renewable energy integration research.展开更多
Understanding the molecular responses of tea leaves to mechanical stress is crucial for elucidating the mechanisms of post-harvest quality formation during oolong tea processing.This study employed an integrated multi...Understanding the molecular responses of tea leaves to mechanical stress is crucial for elucidating the mechanisms of post-harvest quality formation during oolong tea processing.This study employed an integrated multi-omics strategy to characterize the changes and interactions among metabolomic(MB),transcriptomic(TX),and proteomic(PT)profiles in mechanically stressed tea leaves.Mechanical stress initially activated damage-associated molecular patterns(DAMPs),including Ca^(2+)signaling,jasmonic acid signaling,and glutathione metabolism pathways.These processes subsequently induced quality-related metabolic pathways(QRMPs),particularly α-linolenic acid and phenylalanine metabolism.Upregulated expression of LOX,ADH1,and PAR genes,together with the increased abundance of their encoded proteins,respectively promoted the accumulation of jasmine lactone,benzyl alcohol,and 2-phenylethanol.These findings indicate that mechanical stress influences the metabolite biosynthesis in tea leaves through coordinated molecular responses.This study provides new insights into the molecular mechanisms underlying tea leaf responses to mechanical stress and a foundation for future investigations into how early molecular events may contribute to post-harvest metabolic changes during oolong tea processing.展开更多
The impact of spinal cord injury(SCI)on the immune system is increasingly recognized in a field traditionally focused on motor impairments.SCI can seriously affect the immune system by progressively disrupting the reg...The impact of spinal cord injury(SCI)on the immune system is increasingly recognized in a field traditionally focused on motor impairments.SCI can seriously affect the immune system by progressively disrupting the regulatory mechanisms that control immune responses.This dysregulation varies widely among patients and can evolve over time,ranging from systemic inflammatory responses to immunosuppression,greatly contributing to the morbidity and mortality of individuals with SCI(Bao et al.,2011;Brennan et al.,2024).展开更多
With the growing complexity and decentralization of network systems,the attack surface has expanded,which has led to greater concerns over network threats.In this context,artificial intelligence(AI)-based network intr...With the growing complexity and decentralization of network systems,the attack surface has expanded,which has led to greater concerns over network threats.In this context,artificial intelligence(AI)-based network intrusion detection systems(NIDS)have been extensively studied,and recent efforts have shifted toward integrating distributed learning to enable intelligent and scalable detection mechanisms.However,most existing works focus on individual distributed learning frameworks,and there is a lack of systematic evaluations that compare different algorithms under consistent conditions.In this paper,we present a comprehensive evaluation of representative distributed learning frameworks—Federated Learning(FL),Split Learning(SL),hybrid collaborative learning(SFL),and fully distributed learning—in the context of AI-driven NIDS.Using recent benchmark intrusion detection datasets,a unified model backbone,and controlled distributed scenarios,we assess these frameworks across multiple criteria,including detection performance,communication cost,computational efficiency,and convergence behavior.Our findings highlight distinct trade-offs among the distributed learning frameworks,demonstrating that the optimal choice depends strongly on systemconstraints such as bandwidth availability,node resources,and data distribution.This work provides the first holistic analysis of distributed learning approaches for AI-driven NIDS and offers practical guidelines for designing secure and efficient intrusion detection systems in decentralized environments.展开更多
The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter per...The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter persistent dendrite growth and parasitic reactions,driven by the inhomogeneous charge distribution and water-dominated environment within the EDL.Compounding this,classical EDL theory,rooted in meanfield approximations,further fails to resolve molecular-scale interfacial dynamics under battery-operating conditions,limiting mechanistic insights.Herein,we established a multiscale theoretical calculation framework from single molecular characteristics to interfacial ion distribution,revealing the EDL’s structure and interactions between different ions and molecules,which helps us understand the parasitic processes in depth.Simulations demonstrate that water dipole and sulfate ion adsorption at the inner Helmholtz plane drives severe hydrogen evolution and by-product formation.Guided by these insights,we engineered a“water-poor and anion-expelled”EDL using 4,1’,6’-trichlorogalactosucrose(TGS)as an electrolyte additive.As a result,Zn||Zn symmetric cells with TGS exhibited stable cycling for over 4700 h under a current density of 1 mA cm^(−2),while NaV_(3)O_(8)·1.5H_(2)O-based full cells kept 90.4%of the initial specific capacity after 800 cycles at 5 A g^(−1).This work highlights the power of multiscale theoretical frameworks to unravel EDL complexities and guide high-performance ARZB design through integrated theory-experiment approaches.展开更多
Atmospheric carbon dioxide(CO_(2))levels are escalating at an unprecedented rate,leading to the phenomenon of ocean acidification(OA).Parental exposure to acidification has the potential to enhance offspring resilienc...Atmospheric carbon dioxide(CO_(2))levels are escalating at an unprecedented rate,leading to the phenomenon of ocean acidification(OA).Parental exposure to acidification has the potential to enhance offspring resilience through cross-generation plasticity.In this study,we analyzed larval growth and transcriptomic profiles in the Pacific oyster,Crassostrea gigas,a species of significant ecological relevance,under both control and elevated CO_(2)conditions experienced by their parental generation.Our findings indicate that the oyster populations exposed to OA exhibited a higher incidence of abnormalities during the D-shaped larval stage,followed by accelerated growth at the eyed stage.Through a comparative transcriptomic investigation of eyed larvae(25 d after fertilization),we observed that parental exposure to OA substantially influenced the gene expression in the offspring.Genes associated with lipid catabolism and shell formation were notably upregulated in oysters with parental OA exposure,potentially playing a role in cross-generational conditioning and conferring resilience to OA stressors.These results underscore the profound impact of OA on oyster larval development via cross-generational mechanisms and shed light on the molecular underpinnings of cross-generation plasticity.展开更多
Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generat...Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generated aerosol particles using a water spray system integrated with an innovative system for pre-injecting electrically charged mist in our facility.To simulate aerosol generation in reactor decommissioning,a high-power laser was used to irradiate various materials(including stainless steel,carbon steel,and concrete),generating aerosol particles that were agglomerated with injected water mist and subsequently scavenged by water spray.Experimental results demonstrate enhanced aerosol removal via aerosol-mist agglomeration,with charged mist significantly improving particle capture by increasing wettability and size.The average improvements for the stainless steel,carbon steel,and concrete were 40%,44%,and 21%,respectively.The results of experiments using charged mist with different polarities(both positive and negative)and different surface coatings reveal that the dominant polarity of aerosols varies with the irradiated materials,influenced by their crystal structure and electron emission properties.Notably,surface coatings such as ZrO_(2)and CeO_(2)were found to possibly alter aerosol charging characteristics,thereby affecting aerosol removal efficiency with charged mist configurations.The innovative aerosol-mist agglomeration approach shows promise in mitigating radiation exposure,ensuring environmental safety,and reducing contaminated water during reactor dismantling.This study contributes critical knowledge for the development of advanced aerosol management strategies for nuclear reactor decommissioning.The understanding obtained in this work is also expected to be useful for various environmental and chemical engineering applications such as gas decontamination,air purification,and pollution control.展开更多
Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accom...Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accompanied by a surge in the incidence of incurable neurodegenerative diseases(NDDs).These diseases primarily affect the cognitive and behavioral functions of older adults by impacting brain activity.Mild cognitive impairment(MCI)is a neurodegenerative condition that affects a significant portion of the population.展开更多
Lithium-oxygen(Li-O2)batteries are perceived as a promising breakthrough in sustainable electrochemical energy storage,utilizing ambient air as an energy source,eliminating the need for costly cathode materials,and of...Lithium-oxygen(Li-O2)batteries are perceived as a promising breakthrough in sustainable electrochemical energy storage,utilizing ambient air as an energy source,eliminating the need for costly cathode materials,and offering the highest theoretical energy density(~3.5 k Wh kg^(-1))among discussed candidates.Contributing to the poor cycle life of currently reported Li-O_(2)cells is singlet oxygen(1O_(2))formation,inducing parasitic reactions,degrading key components,and severely deteriorating cell performance.Here,we harness the chirality-induced spin selectivity effect of chiral cobalt oxide nanosheets(Co_(3)O_(4)NSs)as cathode materials to suppress 1O_(2)in Li-O_(2)batteries for the first time.Operando photoluminescence spectroscopy reveals a 3.7-fold and 3.23-fold reduction in 1O_(2)during discharge and charge,respectively,compared to conventional carbon paperbased cells,consistent with differential electrochemical mass spectrometry results,which indicate a near-theoretical charge-to-O_(2)ratio(2.04 e-/O_(2)).Density functional theory calculations demonstrate that chirality induces a peak shift near the Fermi level,enhancing Co 3d-O 2p hybridization,stabilizing reaction intermediates,and lowering activation barriers for Li_(2)O_(2)formation and decomposition.These findings establish a new strategy for improving the stability and energy efficiency of sustainable Li-O_(2)batteries,abridging the current gap to commercialization.展开更多
AIM: To provide a comprehensive overview of clinical studies on the clinical picture of Internet-use related addictions from a holistic perspective. A literature search was conducted using the database Web of Science....AIM: To provide a comprehensive overview of clinical studies on the clinical picture of Internet-use related addictions from a holistic perspective. A literature search was conducted using the database Web of Science.METHODS: Over the last 15 years, the number of Internet users has increased by 1000%, and at the same time, research on addictive Internet use has proliferated. Internet addiction has not yet been understood very well, and research on its etiology and natural history is still in its infancy. In 2013, the American Psychiatric Association included Internet Gaming Disorder in the appendix of the updated version of the Diagnostic and Statistical Manual for Mental Disorders(DSM-5) as condition that requires further research prior to official inclusion in the main manual, with important repercussions for research and treatment. To date, reviews have focused on clinical and treatment studies of Internet addiction and Internet Gaming Disorder. This arguably limits the analysis to a specific diagnosis of a potential disorder that has not yet been officially recognised in the Western world, rather than a comprehensive and inclusive investigation of Internet-use related addictions(including problematic Internet use) more generally. RESULTS: The systematic literature review identified a total of 46 relevant studies. The included studies used clinical samples, and focused on characteristics of treatment seekers and online addiction treatment. Four main types of clinical research studies were identified, namely research involving(1) treatment seeker characteristics;(2) psychopharmacotherapy;(3) psychological therapy; and(4) combined treatment. CONCLUSION: A consensus regarding diagnostic criteria and measures is needed to improve reliability across studies and to develop effective and efficient treatment approaches for treatment seekers.展开更多
The Arctic is one of the most sensitive regions that respond through feedback to global climate changes. Climatic, hydrological and ecological changes in the Arctic are clear evidence of global warming. In 2012 and 20...The Arctic is one of the most sensitive regions that respond through feedback to global climate changes. Climatic, hydrological and ecological changes in the Arctic are clear evidence of global warming. In 2012 and 2014, the 5th and 6th Chinese National Arctic Research Expeditions undertook studies in the Bering Sea, the Arctic Ocean （including the Chukchi Sea）, and the Norwegian Sea. These studies provided us with a better understanding of the marine biology and ecology in the Arctic and subarctic regions, particularly in the Pacific Arctic sector. Rapid changes observed in the Arctic environment include the shrinking of cold-water masses in the Bering Sea in the summer, and elevated water temperatures promoting phytoplankton blooms, leading to an increase in phytoplankton transferred to higher trophic levels. As a result, the transfer efficiency of organic matter toward the bottom weakened, leading to a reduction in benthic biomass. This is consistent with expectations that the overall carbon and energy flux will ultimately switch from the dominant mode of sea ice-algae-benthos to one of phytoplankton-zooplankton. Influenced by Pacific water inflow, fluvial runoff and melting sea ice, the Chukchi Sea exhibited different responses to various environmental changes. Interactions between water masses led to other interannual ecological shifts. With the increase in sea ice melt and sunlight in the central region of the Arctic Ocean, the relative abundance of heterotrophic bacteria is expected to increase, and play a vital role in the Arctic microbial loop.展开更多
In view of the Three North areas existing wind power absorption and environment pollution problems,the previous scholars have improved the wind abandon problem by adding electrothermal coupling equipment or optimizing...In view of the Three North areas existing wind power absorption and environment pollution problems,the previous scholars have improved the wind abandon problem by adding electrothermal coupling equipment or optimizing power grid operation.In this paper,an electrothermal integrated energy system including heat pump and thermal storage units was proposed.The scheduling model was based on the load data and the output characteristics of power units,each power unit capacity was programmed without constraints,and the proposed scheduling model was compared with the traditional combined heat and power scheduling model.Results showed that the investment and pollutant discharge of the system was reduced respectively.Wind power was fully absorbed.Compared with the traditional thermal power unit,the proportion of the output was significantly decreased by the proposed model.The proposed system could provide a new prospect for wind power absorption and environment protection.展开更多
Since traditional solar simulators are mainly applied to spacecraft and photovoltaic industry,they are not suitable for solar radiation measuring instrument test. Therefore,a deep research is carried out on solar simu...Since traditional solar simulators are mainly applied to spacecraft and photovoltaic industry,they are not suitable for solar radiation measuring instrument test. Therefore,a deep research is carried out on solar simulators to test of solar radiation measuring instrument,so that obtain the requirements of performance test of solar radiation measuring instrument. With a combination of the requirements for national regulations of metrological verification and performance test of pyranometer and pyrheliometer,it lays emphasis on the research of design methods for improving radiation uniformity and stability of solar simulators; it also focuses on design methods of multidimensional detection workbench,which achieves different detection of solar radiation. After practical test,solar irradiation is within Φ60 mm; irradiation non-uniformity is better than ±0.8%; instability is better than ±0.72%;rotating angle precision is better than 0.09°. Then,solar simulator is used to carry out pyranometer sensitivity test,pyranometer directional response test,pyranometer tilt response test and non-linearity test for radiation instruments. Test results showthat the solar simulator meets the testing requirements of solar radiation measuring instruments.展开更多
To alleviate the restriction of shortages of labor force and technology on agricultural development in China, the technology of crop transplanting in well cellar was proposed. This technology was that the holes for tr...To alleviate the restriction of shortages of labor force and technology on agricultural development in China, the technology of crop transplanting in well cellar was proposed. This technology was that the holes for transplanting in well cellar were made with dedicated tools for making well cellar, and the seedlings were placed into the well cellar vertically during transplanting. This new technology integrates heat preservation, management of rising temperature, early transplanting and deep planting. Results showed that the technology of transplanting in well cellar improved the growing environment of crops after transplanting through elevation of temperature and heat preservation, and tempered the dramatic change in the temperatures encountered by transplanted seedlings. This technology significantly reduced labor force requirement by 98.06%, 58.96% and 64.44% in tobacco, maize and pepper, respectively. Transplanting in well cellar without mulching film further lowered the labor force requirement, with decrease by 121.77% and 115.40% in maize and pepper, respectively. In addition, this technology significantly promoted crop growth, reduced the time until marketing for maize and pepper by 11 d and 6 d, respectively, and increased economic benefits by 67.03% and 44.24%, respectively. Thus, the technology of transplanting in well cellar showed strong promise for improving upon existing technologies to provide greater economic returns, particularly in areas where labor force shortage threatens to hamper agricultural production.展开更多
The unified dynamic theory reveals the substrate-based nonlinear growth phenomena. It means that the environment of high organism concentration and low substrate state is useful for the growth of weak floras. With eco...The unified dynamic theory reveals the substrate-based nonlinear growth phenomena. It means that the environment of high organism concentration and low substrate state is useful for the growth of weak floras. With ecological superior nitrification denltrification （ ECOSUNIDE ） technology, high sludge concentration by distributing influent to anaerobic and anoxic zones is carried out, and the ecological superiorities of nitrifiers, denitrifiers, and phosphate accumulating organisms （PAOs） get to be promoted. One of the anaerobic/anoxic/oxic（A/A/O） treatment lines of a sewage treatment plant with ECOSUNIDE technology for further investigation on the nutrient removal efficiency is reformed. The advantages of ECOSUNIDE, such as high efficiency and saving energy, are well demonstrated, even under the condition of low temperature （about 15℃） and carbon-resource （C/N ratio lower than 2. 5 ）. In ECOSUNIDE system, the effluent indexes as biochemical oxygen demand （BOD）, chemical oxygen demand （COD）, and NH3--N reach the Class I-A criteria specified in Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant （ GB18918-2002 ）, and suspended substance （ SS ）, total nitrogen （TN）, and total phosphorus（TP） meet the Class I -B criteria. While the effluent qualities of A/A/O system only reach the secondary discharge standard. Through the comparison on the sludge character of ECOSUNH）E system with A/A/O, more abundant biofacies, darker and more intense zoogloea, more obvious filamentous bacterium, and clearer floes edges in ECOSUNIDE system are found.展开更多
[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]...[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]Parasites inject various parasitic factors into hosts to inhibit the development of hosts,adjust the immunity of hosts,interfere with the growth and development of hosts,and reduce the nutrition metabolism of hosts,so as to ensure the growth and development of the offspring.Host pests can escape or conquer the parasitism of parasitic wasps through immune defense system in order to reproduce their own offspring.[Results]Under intense and strong selection pressure,in order to effectively ensure the success rate of parasitism,the adaptive diversity of parasitism strategies of parasitic wasps is finally caused.In the process of evolution and under the pressure of directional selection,the innate immunity and acquired immunity gradually evolve.[Conclusions]In-depth research on parasitic factors of parasitic wasps and their interaction with crop pests immunity and development can not only improve theoretical understanding of insect immunity and development biology,pest biological control and other disciplines,but also be expected to enable the application of some components of parasitic factors to agriculture,medicine and pharmacy.Bactrocera dorsalis is a destructive fruit and vegetable pest.This paper summarized the venom protein of B.dorsalis parasitoids and the immune interaction with hosts,in order to provide theoretical basis for biological control of plant pests by using parasitic natural enemies.展开更多
文摘With the rapid development of artificial intelligence technology,the education sector is gradually exploring how AI tools to empower subject teaching.In this paper,the first lesson of Japan published by People s Education Press in the second semester of seventh grade is taken as an example,focusing on the feasibility of using AI tools for lesson preparation.Through the Meta Sota AI special topic,Kimi,deepseek,and Baidu AI images,lesson preparation is completed.Using Coze intelligent agents,interactive learning scenarios are developed to complete teaching design.Research has shown that AI technology can effectively improve the efficiency and quality of lesson preparation,and can assist in the implementation of core competencies in geography.This paper can provide a reference for the operability of AI empowering educational and teaching activities.
基金supported by National Key Research and Development Technology Project program(SQ2022YFB2400136).
文摘To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility,it is essential to configure grid-connected inverters with an integrated grid-following control mode,allowing smooth switching between GFL and GFM modes.First,impedance models of GFL and GFM PV energy storage VSG systems were established,and grid stability was analyzed.Second,an online impedance identification method based on voltage fluctuation data screening was proposed to enhance the accuracy of impedance identification.Additionally,a PV energy storage GFM/GFL VSG smooth switching method based on current inner loop compensation was introduced to achieve stable grid-connected operation of distributed photovoltaics under changes in strong and weak power grids.Finally,a grid stability analysis was conducted on the multi-machine parallel PV ESS,and a simulation model of a multi-machine parallel PV ESS based on current inner loop compensation was established for testing.Results showed that,compared to using a single GFM or single GFL control for the PV VSG system,the smooth switching method of multi-machine parallel PV ESS effectively suppresses system resonance under variations in power grid strength,enabling adaptive and stable grid-connected operations of distributed PV.
基金financially supported by the Key R&D Program of Shandong Province,China (Grant No. 2023ZLYS01)the National Natural Science Foundation of China (Grant No. 42106172)+8 种基金the Natural Science Foundation of Shandong Province (Grant Nos.ZR2024MD003, ZR2023QD023, ZR2023QD066 and ZR2023QD018)the Consulting and Researching Project of the Chinese Academy of Engineering(Grant Nos. 2024-DFZD-29, 2022-DFZD-35, 2022-XY-21, and 2021-XBZD-13-31)Qingdao Marine Science and Technology Innovation Project (Grant No. 23-1-3-hygg-6-hy)the Natural Science Foundation of Qingdao (Grant Nos. 23-2-1-58-zyyd-jch and 23-2-1-72-zyyd-jch)Project Plan of Pilot Project of Integration of Science,Education and Industry of Qilu University of Technology (Shandong Academy of Sciences)(Grant No. 2023PX035)the Visiting and Training Program for Teachers from Ordinary Undergraduate Universities in Shandong Provincethe Open Fund of Shandong Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation (Grant No. 202302)Major Innovation Project for the Science Education Industry Integration Pilot Project of Qilu University of Technology (Shandong Academy of Sciences)(Grant Nos. 2023HYZX01, and2023JBZ03)University-Industry Collaborative Education Program (Grant No. 202102245036)。
文摘In recent years, with the development of technologies such as the Internet of Things(Io T), big data and cloud computing, digital twin technology has gradually been applied in marine research. The digital twin realizes real-time monitoring, analysis and optimization of the state and behavior of a physical object or system by creating a virtual model. Research shows that digital twin technology has extensive application potential in ship design, marine resource development, marine equipment engineering design and optimization, marine ecological protection and early warning of disasters. Although digital twin technology has great potential in marine research, it also faces many challenges, including the complexity of data acquisition and processing, the accuracy and real-time performance of model construction, and the need for multidisciplinary cross-integration. An in-depth analysis of the technical bottlenecks and future development directions will provide an important reference for subsequent research and promote the further application and development of digital twin technology in marine research.
基金supported in part by the Technical Service for the Development and Application of an Intelligent Visual Management Platformfor Expressway Construction Progress Based on BIM Technology(grant NO.JKYZLX-2023-09)in partby the Technical Service for the Development of an Early Warning Model in the Research and Application of Key Technologies for Tunnel Operation Safety Monitoring and Early Warning Based on Digital Twin(grant NO.JK-S02-ZNGS-202412-JISHU-FA-0035)sponsored by Yunnan Transportation Science Research Institute Co.,Ltd.
文摘With the rapid development of transportation infrastructure,ensuring road safety through timely and accurate highway inspection has become increasingly critical.Traditional manual inspection methods are not only time-consuming and labor-intensive,but they also struggle to provide consistent,high-precision detection and realtime monitoring of pavement surface defects.To overcome these limitations,we propose an Automatic Recognition of PavementDefect(ARPD)algorithm,which leverages unmanned aerial vehicle(UAV)-based aerial imagery to automate the inspection process.The ARPD framework incorporates a backbone network based on the Selective State Space Model(S3M),which is designed to capture long-range temporal dependencies.This enables effective modeling of dynamic correlations among redundant and often repetitive structures commonly found in road imagery.Furthermore,a neck structure based on Semantics and Detail Infusion(SDI)is introduced to guide cross-scale feature fusion.The SDI module enhances the integration of low-level spatial details with high-level semantic cues,thereby improving feature expressiveness and defect localization accuracy.Experimental evaluations demonstrate that theARPDalgorithm achieves a mean average precision(mAP)of 86.1%on a custom-labeled pavement defect dataset,outperforming the state-of-the-art YOLOv11 segmentation model.The algorithm also maintains strong generalization ability on public datasets.These results confirm that ARPD is well-suited for diverse real-world applications in intelligent,large-scale highway defect monitoring and maintenance planning.
基金supported by the Research Project of China Southern Power Grid(No.056200KK52222031).
文摘This paper proposes an equivalent modeling method for photovoltaic(PV)power stations via a particle swarm optimization(PSO)K-means clustering(KMC)algorithm with passive filter parameter clustering to address the complexities,simulation time cost and convergence problems of detailed PV power station models.First,the amplitude–frequency curves of different filter parameters are analyzed.Based on the results,a grouping parameter set for characterizing the external filter characteristics is established.These parameters are further defined as clustering parameters.A single PV inverter model is then established as a prerequisite foundation.The proposed equivalent method combines the global search capability of PSO with the rapid convergence of KMC,effectively overcoming the tendency of KMC to become trapped in local optima.This approach enhances both clustering accuracy and numerical stability when determining equivalence for PV inverter units.Using the proposed clustering method,both a detailed PV power station model and an equivalent model are developed and compared.Simulation and hardwarein-loop(HIL)results based on the equivalent model verify that the equivalent method accurately represents the dynamic characteristics of PVpower stations and adapts well to different operating conditions.The proposed equivalent modeling method provides an effective analysis tool for future renewable energy integration research.
基金supported by the National Key Research and Development Program of China(2022YFD2101101)the Earmarked Fund for CARS-19+2 种基金the National Natural Science Foundation of China(32402634)the Modern Agricultural(Tea)Industry Technology System of Fujian Province,China(2025 No.593)the Special Fund for Science and Technology Innovation of Fujian Zhang Tianfu Tea Development Foundation,China(FJZTF01)。
文摘Understanding the molecular responses of tea leaves to mechanical stress is crucial for elucidating the mechanisms of post-harvest quality formation during oolong tea processing.This study employed an integrated multi-omics strategy to characterize the changes and interactions among metabolomic(MB),transcriptomic(TX),and proteomic(PT)profiles in mechanically stressed tea leaves.Mechanical stress initially activated damage-associated molecular patterns(DAMPs),including Ca^(2+)signaling,jasmonic acid signaling,and glutathione metabolism pathways.These processes subsequently induced quality-related metabolic pathways(QRMPs),particularly α-linolenic acid and phenylalanine metabolism.Upregulated expression of LOX,ADH1,and PAR genes,together with the increased abundance of their encoded proteins,respectively promoted the accumulation of jasmine lactone,benzyl alcohol,and 2-phenylethanol.These findings indicate that mechanical stress influences the metabolite biosynthesis in tea leaves through coordinated molecular responses.This study provides new insights into the molecular mechanisms underlying tea leaf responses to mechanical stress and a foundation for future investigations into how early molecular events may contribute to post-harvest metabolic changes during oolong tea processing.
基金funded by the Santa Casa Neuroscience Awards—Prize Melo e Castro for Spinal Cord Injury Research(MC-18-2021)(to AJS and NAS)by the Wings for Life Spinal Cord Research Foundation(WFL-PT-14/23)(to NAS)+2 种基金funded by national funds through the Foundation for Science and Technology(FCT)—projects UIDB/50026/2020,UIDP/50026/2020,and EXPL/MED-PAT/0931/2021-http://doi.org/10.54499/EXPL/MED PAT/0931/2021supported by the Norte Portugal Regional Operational Programme(NORTE 2020)under the PORTUGAL 2020 Partnership Agreement through the European Regional Development Fund(ERDF)(to SM)the support given by the Portuguese Foundation of Science and Technology to SM(CEECIND/01902/2017-Doi:10.54499/CEECIND/01902/2017/CP1458/CT0024),and NAS(CEECIND/04794/2007)。
文摘The impact of spinal cord injury(SCI)on the immune system is increasingly recognized in a field traditionally focused on motor impairments.SCI can seriously affect the immune system by progressively disrupting the regulatory mechanisms that control immune responses.This dysregulation varies widely among patients and can evolve over time,ranging from systemic inflammatory responses to immunosuppression,greatly contributing to the morbidity and mortality of individuals with SCI(Bao et al.,2011;Brennan et al.,2024).
基金supported by the Research year project of the KongjuNational University in 2025 and the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.RS-2024-00444170,Research and International Collaboration on Trust Model-Based Intelligent Incident Response Technologies in 6G Open Network Environment).
文摘With the growing complexity and decentralization of network systems,the attack surface has expanded,which has led to greater concerns over network threats.In this context,artificial intelligence(AI)-based network intrusion detection systems(NIDS)have been extensively studied,and recent efforts have shifted toward integrating distributed learning to enable intelligent and scalable detection mechanisms.However,most existing works focus on individual distributed learning frameworks,and there is a lack of systematic evaluations that compare different algorithms under consistent conditions.In this paper,we present a comprehensive evaluation of representative distributed learning frameworks—Federated Learning(FL),Split Learning(SL),hybrid collaborative learning(SFL),and fully distributed learning—in the context of AI-driven NIDS.Using recent benchmark intrusion detection datasets,a unified model backbone,and controlled distributed scenarios,we assess these frameworks across multiple criteria,including detection performance,communication cost,computational efficiency,and convergence behavior.Our findings highlight distinct trade-offs among the distributed learning frameworks,demonstrating that the optimal choice depends strongly on systemconstraints such as bandwidth availability,node resources,and data distribution.This work provides the first holistic analysis of distributed learning approaches for AI-driven NIDS and offers practical guidelines for designing secure and efficient intrusion detection systems in decentralized environments.
基金supported by the National Natural Science Foundation of China(52471240)the Natural Science Foundation of Zhejiang Province(LZ23B030003)+2 种基金the Fundamental Research Funds for the Central Universities(226-2024-00075)support from the Engineering and Physical Sciences Research Council(EPSRC,UK)RiR grant-RIR18221018-1EU COST CA23155。
文摘The electric double layer(EDL)at the electrochemical interface is crucial for ion transport,charge transfer,and surface reactions in aqueous rechargeable zinc batteries(ARZBs).However,Zn anodes routinely encounter persistent dendrite growth and parasitic reactions,driven by the inhomogeneous charge distribution and water-dominated environment within the EDL.Compounding this,classical EDL theory,rooted in meanfield approximations,further fails to resolve molecular-scale interfacial dynamics under battery-operating conditions,limiting mechanistic insights.Herein,we established a multiscale theoretical calculation framework from single molecular characteristics to interfacial ion distribution,revealing the EDL’s structure and interactions between different ions and molecules,which helps us understand the parasitic processes in depth.Simulations demonstrate that water dipole and sulfate ion adsorption at the inner Helmholtz plane drives severe hydrogen evolution and by-product formation.Guided by these insights,we engineered a“water-poor and anion-expelled”EDL using 4,1’,6’-trichlorogalactosucrose(TGS)as an electrolyte additive.As a result,Zn||Zn symmetric cells with TGS exhibited stable cycling for over 4700 h under a current density of 1 mA cm^(−2),while NaV_(3)O_(8)·1.5H_(2)O-based full cells kept 90.4%of the initial specific capacity after 800 cycles at 5 A g^(−1).This work highlights the power of multiscale theoretical frameworks to unravel EDL complexities and guide high-performance ARZB design through integrated theory-experiment approaches.
基金Supported by the Key Research and Development Program of Shandong(No.2022LZGC015)the National Key R&D Program of China(No.2022YFD2401400)+1 种基金the Taishan Scholars Program,the National Key R&D Program of China(No.2022YFD2400304)the Agricultural Seed Project of Shandong Key R&D Program(No.2024LZGCQY003)。
文摘Atmospheric carbon dioxide(CO_(2))levels are escalating at an unprecedented rate,leading to the phenomenon of ocean acidification(OA).Parental exposure to acidification has the potential to enhance offspring resilience through cross-generation plasticity.In this study,we analyzed larval growth and transcriptomic profiles in the Pacific oyster,Crassostrea gigas,a species of significant ecological relevance,under both control and elevated CO_(2)conditions experienced by their parental generation.Our findings indicate that the oyster populations exposed to OA exhibited a higher incidence of abnormalities during the D-shaped larval stage,followed by accelerated growth at the eyed stage.Through a comparative transcriptomic investigation of eyed larvae(25 d after fertilization),we observed that parental exposure to OA substantially influenced the gene expression in the offspring.Genes associated with lipid catabolism and shell formation were notably upregulated in oysters with parental OA exposure,potentially playing a role in cross-generational conditioning and conferring resilience to OA stressors.These results underscore the profound impact of OA on oyster larval development via cross-generational mechanisms and shed light on the molecular underpinnings of cross-generation plasticity.
基金financial support from the Nuclear Energy Science&Technology and Human Resource Development Project of the Japan Atomic Energy Agency/Collaborative Laboratories for Advanced Decommissioning Science(No.R04I034)The author Ruicong Xu appreciates the scholarship(financial support)from the China Scholarship Council(CSC,No.202106380073).
文摘Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generated aerosol particles using a water spray system integrated with an innovative system for pre-injecting electrically charged mist in our facility.To simulate aerosol generation in reactor decommissioning,a high-power laser was used to irradiate various materials(including stainless steel,carbon steel,and concrete),generating aerosol particles that were agglomerated with injected water mist and subsequently scavenged by water spray.Experimental results demonstrate enhanced aerosol removal via aerosol-mist agglomeration,with charged mist significantly improving particle capture by increasing wettability and size.The average improvements for the stainless steel,carbon steel,and concrete were 40%,44%,and 21%,respectively.The results of experiments using charged mist with different polarities(both positive and negative)and different surface coatings reveal that the dominant polarity of aerosols varies with the irradiated materials,influenced by their crystal structure and electron emission properties.Notably,surface coatings such as ZrO_(2)and CeO_(2)were found to possibly alter aerosol charging characteristics,thereby affecting aerosol removal efficiency with charged mist configurations.The innovative aerosol-mist agglomeration approach shows promise in mitigating radiation exposure,ensuring environmental safety,and reducing contaminated water during reactor dismantling.This study contributes critical knowledge for the development of advanced aerosol management strategies for nuclear reactor decommissioning.The understanding obtained in this work is also expected to be useful for various environmental and chemical engineering applications such as gas decontamination,air purification,and pollution control.
基金supported by The Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS-2023-00244901)(to RB)。
文摘Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accompanied by a surge in the incidence of incurable neurodegenerative diseases(NDDs).These diseases primarily affect the cognitive and behavioral functions of older adults by impacting brain activity.Mild cognitive impairment(MCI)is a neurodegenerative condition that affects a significant portion of the population.
基金supported by Basic Science Research Program(Priority Research Institute)through the NRF of Korea funded by the Ministry of Education(2021R1A6A1A10039823)by the Korea Basic Science Institute(National Research Facilities and Equipment Center)grant funded by the Ministry of Education(2020R1A6C101B194)。
文摘Lithium-oxygen(Li-O2)batteries are perceived as a promising breakthrough in sustainable electrochemical energy storage,utilizing ambient air as an energy source,eliminating the need for costly cathode materials,and offering the highest theoretical energy density(~3.5 k Wh kg^(-1))among discussed candidates.Contributing to the poor cycle life of currently reported Li-O_(2)cells is singlet oxygen(1O_(2))formation,inducing parasitic reactions,degrading key components,and severely deteriorating cell performance.Here,we harness the chirality-induced spin selectivity effect of chiral cobalt oxide nanosheets(Co_(3)O_(4)NSs)as cathode materials to suppress 1O_(2)in Li-O_(2)batteries for the first time.Operando photoluminescence spectroscopy reveals a 3.7-fold and 3.23-fold reduction in 1O_(2)during discharge and charge,respectively,compared to conventional carbon paperbased cells,consistent with differential electrochemical mass spectrometry results,which indicate a near-theoretical charge-to-O_(2)ratio(2.04 e-/O_(2)).Density functional theory calculations demonstrate that chirality induces a peak shift near the Fermi level,enhancing Co 3d-O 2p hybridization,stabilizing reaction intermediates,and lowering activation barriers for Li_(2)O_(2)formation and decomposition.These findings establish a new strategy for improving the stability and energy efficiency of sustainable Li-O_(2)batteries,abridging the current gap to commercialization.
基金Supported by A grant from the European Commission("Tech Use Disorders"Grant ID:FP7-PEOPLE-2013-IEF-627999)awarded to Olatz Lopez-Fernandez
文摘AIM: To provide a comprehensive overview of clinical studies on the clinical picture of Internet-use related addictions from a holistic perspective. A literature search was conducted using the database Web of Science.METHODS: Over the last 15 years, the number of Internet users has increased by 1000%, and at the same time, research on addictive Internet use has proliferated. Internet addiction has not yet been understood very well, and research on its etiology and natural history is still in its infancy. In 2013, the American Psychiatric Association included Internet Gaming Disorder in the appendix of the updated version of the Diagnostic and Statistical Manual for Mental Disorders(DSM-5) as condition that requires further research prior to official inclusion in the main manual, with important repercussions for research and treatment. To date, reviews have focused on clinical and treatment studies of Internet addiction and Internet Gaming Disorder. This arguably limits the analysis to a specific diagnosis of a potential disorder that has not yet been officially recognised in the Western world, rather than a comprehensive and inclusive investigation of Internet-use related addictions(including problematic Internet use) more generally. RESULTS: The systematic literature review identified a total of 46 relevant studies. The included studies used clinical samples, and focused on characteristics of treatment seekers and online addiction treatment. Four main types of clinical research studies were identified, namely research involving(1) treatment seeker characteristics;(2) psychopharmacotherapy;(3) psychological therapy; and(4) combined treatment. CONCLUSION: A consensus regarding diagnostic criteria and measures is needed to improve reliability across studies and to develop effective and efficient treatment approaches for treatment seekers.
基金supported by Chinese Polar Environment Comprehensive Investigation and Assessment Program (Grant nos. CHINARE2012-2016-03-05, CHINARE2012-2016-04-03, CHINARE20122016-01-05, CHINARE2012-2016-04-01)the Public Science and Technology Research Funds Projects of Ocean (Grant no. 201105022-2)
文摘The Arctic is one of the most sensitive regions that respond through feedback to global climate changes. Climatic, hydrological and ecological changes in the Arctic are clear evidence of global warming. In 2012 and 2014, the 5th and 6th Chinese National Arctic Research Expeditions undertook studies in the Bering Sea, the Arctic Ocean （including the Chukchi Sea）, and the Norwegian Sea. These studies provided us with a better understanding of the marine biology and ecology in the Arctic and subarctic regions, particularly in the Pacific Arctic sector. Rapid changes observed in the Arctic environment include the shrinking of cold-water masses in the Bering Sea in the summer, and elevated water temperatures promoting phytoplankton blooms, leading to an increase in phytoplankton transferred to higher trophic levels. As a result, the transfer efficiency of organic matter toward the bottom weakened, leading to a reduction in benthic biomass. This is consistent with expectations that the overall carbon and energy flux will ultimately switch from the dominant mode of sea ice-algae-benthos to one of phytoplankton-zooplankton. Influenced by Pacific water inflow, fluvial runoff and melting sea ice, the Chukchi Sea exhibited different responses to various environmental changes. Interactions between water masses led to other interannual ecological shifts. With the increase in sea ice melt and sunlight in the central region of the Arctic Ocean, the relative abundance of heterotrophic bacteria is expected to increase, and play a vital role in the Arctic microbial loop.
基金the fund program of research on re-electrification(heat pump clean heating)to promote the new energy consumption in Shaanxi power grid(5226KY18002P).
文摘In view of the Three North areas existing wind power absorption and environment pollution problems,the previous scholars have improved the wind abandon problem by adding electrothermal coupling equipment or optimizing power grid operation.In this paper,an electrothermal integrated energy system including heat pump and thermal storage units was proposed.The scheduling model was based on the load data and the output characteristics of power units,each power unit capacity was programmed without constraints,and the proposed scheduling model was compared with the traditional combined heat and power scheduling model.Results showed that the investment and pollutant discharge of the system was reduced respectively.Wind power was fully absorbed.Compared with the traditional thermal power unit,the proportion of the output was significantly decreased by the proposed model.The proposed system could provide a new prospect for wind power absorption and environment protection.
文摘Since traditional solar simulators are mainly applied to spacecraft and photovoltaic industry,they are not suitable for solar radiation measuring instrument test. Therefore,a deep research is carried out on solar simulators to test of solar radiation measuring instrument,so that obtain the requirements of performance test of solar radiation measuring instrument. With a combination of the requirements for national regulations of metrological verification and performance test of pyranometer and pyrheliometer,it lays emphasis on the research of design methods for improving radiation uniformity and stability of solar simulators; it also focuses on design methods of multidimensional detection workbench,which achieves different detection of solar radiation. After practical test,solar irradiation is within Φ60 mm; irradiation non-uniformity is better than ±0.8%; instability is better than ±0.72%;rotating angle precision is better than 0.09°. Then,solar simulator is used to carry out pyranometer sensitivity test,pyranometer directional response test,pyranometer tilt response test and non-linearity test for radiation instruments. Test results showthat the solar simulator meets the testing requirements of solar radiation measuring instruments.
文摘To alleviate the restriction of shortages of labor force and technology on agricultural development in China, the technology of crop transplanting in well cellar was proposed. This technology was that the holes for transplanting in well cellar were made with dedicated tools for making well cellar, and the seedlings were placed into the well cellar vertically during transplanting. This new technology integrates heat preservation, management of rising temperature, early transplanting and deep planting. Results showed that the technology of transplanting in well cellar improved the growing environment of crops after transplanting through elevation of temperature and heat preservation, and tempered the dramatic change in the temperatures encountered by transplanted seedlings. This technology significantly reduced labor force requirement by 98.06%, 58.96% and 64.44% in tobacco, maize and pepper, respectively. Transplanting in well cellar without mulching film further lowered the labor force requirement, with decrease by 121.77% and 115.40% in maize and pepper, respectively. In addition, this technology significantly promoted crop growth, reduced the time until marketing for maize and pepper by 11 d and 6 d, respectively, and increased economic benefits by 67.03% and 44.24%, respectively. Thus, the technology of transplanting in well cellar showed strong promise for improving upon existing technologies to provide greater economic returns, particularly in areas where labor force shortage threatens to hamper agricultural production.
基金Key Extension Program on Scientific and Technological Achievements of China (No. 2004EC000132) Technology Fund of China University of Mining and Technology,China (No. 0P080307)
文摘The unified dynamic theory reveals the substrate-based nonlinear growth phenomena. It means that the environment of high organism concentration and low substrate state is useful for the growth of weak floras. With ecological superior nitrification denltrification （ ECOSUNIDE ） technology, high sludge concentration by distributing influent to anaerobic and anoxic zones is carried out, and the ecological superiorities of nitrifiers, denitrifiers, and phosphate accumulating organisms （PAOs） get to be promoted. One of the anaerobic/anoxic/oxic（A/A/O） treatment lines of a sewage treatment plant with ECOSUNIDE technology for further investigation on the nutrient removal efficiency is reformed. The advantages of ECOSUNIDE, such as high efficiency and saving energy, are well demonstrated, even under the condition of low temperature （about 15℃） and carbon-resource （C/N ratio lower than 2. 5 ）. In ECOSUNIDE system, the effluent indexes as biochemical oxygen demand （BOD）, chemical oxygen demand （COD）, and NH3--N reach the Class I-A criteria specified in Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant （ GB18918-2002 ）, and suspended substance （ SS ）, total nitrogen （TN）, and total phosphorus（TP） meet the Class I -B criteria. While the effluent qualities of A/A/O system only reach the secondary discharge standard. Through the comparison on the sludge character of ECOSUNH）E system with A/A/O, more abundant biofacies, darker and more intense zoogloea, more obvious filamentous bacterium, and clearer floes edges in ECOSUNIDE system are found.
基金Supported by Fund of Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests (2020-ST-05)Science and Technology Major Project of Guangxi (GK AA17202017-2).
文摘[Objectives]The use of natural enemies of living insects and their derivatives can effectively avoid the problems of pesticide residues,pest resistance,biodiversity decline,control effect weakening and so on.[Methods]Parasites inject various parasitic factors into hosts to inhibit the development of hosts,adjust the immunity of hosts,interfere with the growth and development of hosts,and reduce the nutrition metabolism of hosts,so as to ensure the growth and development of the offspring.Host pests can escape or conquer the parasitism of parasitic wasps through immune defense system in order to reproduce their own offspring.[Results]Under intense and strong selection pressure,in order to effectively ensure the success rate of parasitism,the adaptive diversity of parasitism strategies of parasitic wasps is finally caused.In the process of evolution and under the pressure of directional selection,the innate immunity and acquired immunity gradually evolve.[Conclusions]In-depth research on parasitic factors of parasitic wasps and their interaction with crop pests immunity and development can not only improve theoretical understanding of insect immunity and development biology,pest biological control and other disciplines,but also be expected to enable the application of some components of parasitic factors to agriculture,medicine and pharmacy.Bactrocera dorsalis is a destructive fruit and vegetable pest.This paper summarized the venom protein of B.dorsalis parasitoids and the immune interaction with hosts,in order to provide theoretical basis for biological control of plant pests by using parasitic natural enemies.
