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Under the background of China's rapid economic development and accelerated urbanization process, the construction industry has been fully developed. However, due to the characteristics of extensive production in the construction industry, a large amount of construction waste is generated. This paper relies on the centralized resettlement project of Zhanjie Town in Gongyi City. Through the research on the key technologies such as the reuse of pile head, the reuse of steel bar head and the recycling of construction waste in engineering practice, the practical methods of construction waste recycling are analyzed, so as to better carry out the recycling of construction waste.

This paper presents a framework utilising digital twins for predictive maintenance planning of fuel cells in electric vehicles, focusing on real-time condition monitoring and Remaining Useful Lifetime (RUL) prediction. By integrating advanced algorithms, it optimises maintenance schedules to reduce downtime and extend fuel cell lifetime. Despite relying on simulated data, the findings highlight the potential of digital twins to improve fuel cell reliability, and sustainability, illustrating their transformative impact on smart urban transportation systems.

The application of the case teaching method in the equipment contract management course can overcome the limitation of the traditional teaching method which emphasizes the theory and ignores practice, and is conducive to improving the students’ comprehensive quality and the teachers’ scientific research ability and professional level. The paper mainly introduces the standards of the case selection and the classification of the teaching contents in the application of the case teaching method in the course of the equipment contract management, and puts forward some opinions on other problems that should be paid attention to in the current case teaching of the equipment contract management.

MnO2 is considered to be a prospective material for lithium-ion batteries anode. However, in practical applications, MnO2 has shortcomings such as low conductivity, large volume change and high charge transfer resistance, which seriously hinder its commercial application. In this work, MnO2 are preintercalated with various alkali cations (Na+, or NH4+) and coating with reduced graphene oxide through electrodeposition which designed for LIBs to improve its electrochemical behavior and understand the effect of cations and coating. It demonstrates that alkali cations can affect the growth morphology and electrochemical performance of MnO2, and graphene can improve electrical conductivity. Due to the advantages of its structure, MnO2&NH4+@rGO shows high capacity, rate performance (640 mAh g-1) and a long lifetime in lithium-ion batteries.

With the rapid development of distributed energy resource, a more powerful market operation and energy management system is in great demand for a more precise scheduling strategy. And owing to the advantages in communication and control, virtual power plant (VPP) can provide solutions to these problems. In this paper, the business orientation and service plan are discussed first. Then the mathematical model of the settled market is established to figure out the scheduling strategy of participating in energy market. And a bi-level optimization model is built, with the upper level of maximizing the profits of VPP and lower level of clearing process of energy market. Finally, the scheduling scheme under typical scenarios is discussed in the example, and the ability of the VPP to adapt to the price change is analyzed. It can be seen that the VPP can adjust its own load and processing in the face of price fluctuation to achieve the maximum benefit.

In order to evaluate the effects of exogenous abscisic acid (ABA) in alleviating nickel (Ni) stress in wheat plants. We studied the changes of biochemical and physiological in wheat seedlings exposed to 250 μM Ni with or without different treatments of ABA. Exposed to Ni (250 μM) caused adverse effect on growth of wheat seedlings, which was accompanied by increased the concentrations of superoxide anion（O2−） and malondialdehyde (MDA). However, exogenous application of ABA (2.5 and 5 μM) alleviated the Ni-induced inhibition of plant growth, decreased the concentrations of O2− and MDA in wheat shoots. Further, application of ABA significantly modulated the activities of antioxidant enzymes and enhanced content of proline and soluble sugar in Ni-stressed wheats, but the application of 20 μM of ABA had no different significantly response for these parameters. The results indicated that application of ABA enhanced the antioxidant defense activities in Ni-stressed wheats, thus alleviating Ni-induced oxidative injury and enhancing Ni tolerance.

In this work, the temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland has been explored by remote sensing technique. The change of precipitation and temperature has obvious effects on the vegetation, which affects the agriculture and the stability of the ecosystem. Pixel dichotomy approach and correlation analysis are introduced to analyse the temporal and spatial evolution trend of vegetation coverage and its response to climate change in the past 10 years. Specifically, the correlation between vegetation coverage and the critical climate impacting factors such as temperature and precipitation are fully investigated. The results show the vegetation coverage in the study area was influenced by effectors including climate, topography, human activities and government policies. The average annual vegetation coverage showed a downward trend in general from 2010 to 2019. Statistical correlation analysis indicates that the correlation between the vegetation coverage and the precipitation is positive in most parts of the area, while the correlation between the vegetation coverage and the precipitation shows negative with difference with various geographic features. As a result, precipitation was the major natural factor that affected dynamics of vegetation coverage in Urad grassland.

The temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland, Inner Mongolia has been investigated by analysing on MODIS NDVI remote sensing products. This paper applies pixel dichotomy approach and linear regression trend analysis method to analyze the temporal and spatial evolution trend of vegetation coverage over the past 10 years. The average annual vegetation coverage showed a downward trend in general from 2010 to 2019. The vegetation distribution and change trend analysis provide a thorough and scientific reference for policymaking in environmental protection.

At present, the clinical diagnosis of depression is mainly through structured interviews by psychiatrists, which is lack of objective diagnostic methods, so it causes the higher rate of misdiagnosis. In this paper, a method of depression recognition based on SVM and particle swarm optimization algorithm mutation is proposed. To address on the problem that particle swarm optimization (PSO) algorithm easily trap in local optima, we propose a feedback mutation PSO algorithm (FBPSO) to balance the local search and global exploration ability, so that the parameters of the classification model is optimal. We compared different PSO mutation algorithms about classification accuracy for depression, and found the classification accuracy of support vector machine (SVM) classifier based on feedback mutation PSO algorithm is the highest. Our study promotes important reference value for establishing auxiliary diagnostic used in depression recognition of clinical diagnosis.

Single-line to ground fault of DC side and sub-module fault are typical faults of MMC-HVDC. When each of the above faults occurs, the system will give a signal for circuit-breaker releasing, this will result in interruption of power delivery, the stability of the system is greatly reduced. When these two faults occur simultaneously, research on control strategy for compound fault will help to improve the reliability of the system. While single-line to ground fault of DC side happens, only the electric potential auxiliary point of DC side is changed, system’s power transport normally. When sub-module is fault, redundancy fault-tolerated control strategy is presented, which replace the failed sub-modules with equal number of redundant sub-modules, it can restrain the fluctuation of direct current. A double terminals and 21 voltage-level MMC-HVDC system simulation model is set up in PSCAD/EMTDC. From the computation and simulation results, it is concluded that the proposed control strategy is correct for above compound fault, it can achieve rapid recovery after faults, effectively improve fault tolerance of the system, develop the stability and reliability of the system.

Rare earths are a kind of mineral resource with important strategic value, playing an irreplaceable key role in modern high-tech development and other fields. However, how to realize the efficient and green mining of rare earth resources has been a key issue that the rare earth industry has been trying to break through, because the rare earth mining process is prone to pollute ecological environments such as soil and water. Ion adsorption rare earth ore, mainly distributed in the south of China, is one of the rare earths, for which rare earth researchers have developed a new process leaching system with magnesium salt. In this study, the soil environmental problems as well as the microbial community structure underneath this new process heap-leaching demonstration site are evaluated. The results of the study showed that under the new process, there was a significant accumulation of sulfate content in the soil of the heap-leaching site and an imbalance in the soil calcium-magnesium ratio, which may disrupt the soil structure and reduce soil fertility. Meanwhile, the microbial community structure before and after the leaching site showed large differences at different points and depths, but didn't cause ecological risks. This study helps us to understand the environmental problems and impacts that may be caused by the new process of magnesium salt, and also helps to promote the application of the new process of magnesium salt leaching of ion adsorption rare earth ore, which lays the foundation for the exploitation of rare earth resources.

The wide dissemination of rumor is increasingly threatening both individuals and society. In this paper, we propose a multi-domain rumor detection method based on sentiment features and attention mechanism. This method uses sentiment analysis technology to extract sentiment features from text, and uses attention mechanism to weight text features and domain features to detect rumor. Experimental results show that the proposed method has achieved good results on data sets from multiple fields and has good generalization performance.

Reveal the mysteries of birth, death and so life has become one of the main purpose of bioinformatics, splice site prediction is one of the most important part, however, not been able to get this problem solved. Firstly, the third generation of genetic markers of single nucleotide polymorphisms had been used in that research to explore the influence of the SNP in splicing; Secondly, a modified hidden Markov model has been introduced; finally, experiments show that the SNP for the performance has a certain influence. In addition, location information based hidden Markov model designed also has positive effects. This method increases the effects dramatically than currently used methods.

The widespread dissemination of fake news on social media platforms can cause serious social impact, making the detection of fake news on social media platforms an urgent problem to be solved. Up to now, scholars have proposed various methods ranging from traditional manual feature extraction to deep learning algorithms for detecting fake news. However, these methods still have some limitations and two difficult problems: (1) How to learn informative news feature representations without losing information as much as possible? (2) How to effectively fuse multi-modal information to obtain high-order complementary information about news and enhance fake news detection? To overcome these two difficulties, this article proposes a multi-modal fusion fake news detection model. Firstly, the model uses BERT and VGG-19 to obtain the text and image feature representations of news content, respectively, and then further fuses multi-modal information through a multi-modal attention mechanism module to obtain high-order complementary information between different modalities, thereby obtaining informative news feature representations for fake news detection. Experimental results on two real-world public datasets demonstrate the effectiveness of our model compared to mainstream detection methods.

This paper addresses the limitations of existing rumor detection methods that heavily rely on single or local features, which restrict their ability to capture comprehensive and detailed characteristics of rumors. The main objective of this study is to enhance the efficiency of rumor detection. To achieve this, we propose a novel approach that integrates user attributes, comment structure, and propagation models, introducing the concept of ubiquitous relationships for messages in social networks. We construct a Tweet-word-user ubiquitous relationship network using a propagation model and further leverage the Graph Convolutional Neural Network (GCN) to enhance semantic features. Consequently, we present a novel rumor detection model, the Ubiquitous Relationship-based Graph Convolutional Neural Network (U-GCN), which effectively combines user, text, and comment features within a unified framework, while also enhancing semantic features from the source post for comprehensive detection. Extensive experiments are conducted on two publicly available Twitter Datasets. The results demonstrate that our proposed U-GCN model achieves an accuracy rate of above 0.9, outperforming methods that solely consider single or local features. Our findings highlight the effectiveness of leveraging ubiquitous relationships in rumor detection.

Asphaltene deposition on rock surface seriously affects oil recovery efficiency. Molecular dynamics simulation method is used to study the difference in the adsorption behavior of asphaltene molecules on quartz surface, which will help to improve the in-depth understanding of asphaltene microstructure. This study finds that electrostatic interaction is an influential factor affecting asphaltene deposition on rock surface. We also illustrated the different adsorption behaviors of different asphaltene molecules and the influence of rock surfaces on the deposition.

Gas-liquid interface models consist of SiO2 nanoparticles and typical surfactant molecules were used to investigate the interface properties using molecular dynamics simulations. The surfactant molecules were found being self-assembled to the nanoparticles, and prefer the gas-liquid interface. By comparing the effects of different surfactant molecules on the interface structures and molecular mobility, the adsorption behaviours of nanoparticles onto the interface were revealed, and the corresponding interface properties were quantitatively illustrated.

Medical ethics is a quality that should be possessed by healthcare workers. There is an urgent need for the development of medical and health services, which carries the people’s aspiration for a better life. We should vigorously promote the construction of medical ethics, in which the author believes that “nourishing” is the cornerstone and “guidance” is the core. In this paper, we discuss the construction of medical ethics from the two dimensions of how medical and health institutions can make good use of “nourishing” and “guidance,” and put forward corresponding countermeasures from the current status quo of medical ethics. Our aim is to develop and strengthen the medical and health service team in terms of quality, quantity, ability, and moral integrity, thereby promoting the construction of the Healthy China Initiatives.

A UPLC-MS/MS method was developed for simultaneous determination of 7 whitening ingredients: nicotinamide, kojic acid, Tranexamic acid, raspberry glycoside, azelaic acid, magnesium ascorbate phosphate and β-Arbutin in cosmetics. The whitening active components were extracted from cosmetics by supersonic extraction with sodium chloride and dichloromethane to disperse the sample, and supersonic extraction with 0.015 mol/L potassium dihydrogen phosphate solution purified by HLB solid phase extraction column, scanned and detected by electrospray ionization source with positive and negative ion alternate scanning mode and multiple reaction monitoring mode. The results showed that the whitening active ingredients were separated within 3 minutes, with a good linear relationship (R>0.999), and the detection limit was 0.10mg/kg~0.75mg/kg. The recoveries (n=6) were 78.84%-104.85%, and the RSDs were 0.24%-11.35%. This method is suitable for the rapid determination of whitening active ingredients in cosmetics.

Single-atom catalysts (SACs) have the highest atom economy, precisely located active sites, unique metal coordination environments. These merits of SACs greatly increase the specific activity of metal atom, thus providing great potential for achieving better catalytic activity and selectivity. The metal catalytic active sites of SACs and natural enzymes are similar in structure, physical and chemical properties, and have better catalytic activity and selectivity. Theoretically, SACs can replace natural enzymes in the field of biomedicine. Based on the latest research work, the preparation technology of SACs and its application in the biomedical field are reviewed in this paper, and the challenges and future development direction of SACS in the biomedical field were briefly prospected.

In recent years, with the rapid development of the sericulture industry, the pests of mulberry trees are also increasing. Diaghania pyloalis Walker is one of the main pests of mulberry trees, has strong fecundity and very large food intake, especially in Sichuan and Chongqing areas. In order to find out the insecticides which can effectively control D. pyloalis, the screening test of high-efficiency control efficacy was carried out. In the summer of 2020, the 3rd instar larvae of D. pyloalis were selected as the test objects, and the indoor bioassay of 10 insecticides on D. pyloalis was carried out, and the results of the indoor bioassay were tested by field experiments in the autumn. The results show that 2000 times liquid of Dursban, Spinetoram, Chlorantraniliprole, and 1000 times liquid of Dichlorvos and Phoxim had the best control effect on D. pyloalis. Secondly, 2000 times liquid of Imidacloprid and Chlorfenapyr had the better control effect on D. pyloalis. Finally 2000 times liquid of Pymetrozine and Cyromazine had poor control effect, and 1000 times liquid of Azadirachtin had the worst control effect on D. pyloalis. To control D. pyloalis, 2000 dilution of Dursban and Spinetoram, and 1000 times liquid of Dichlorvos can be used in sericultural production. When using Chlorantraniliprole to control D. pyloalis, the leaves of mulberry should be picked with long interval to avoid affecting the quality of cocoons, and it is not recommended to use Cyromazine, Azadirachtin to control D. pyloalis.

Objective: The most important and common psychiatric disorders after stroke include post-stroke depression, which can lead to a variety of negative health outcomes. This study was calculated to estimate the security and effectiveness of acupuncture rehabilitation in curative effects for post-stroke depression patients. Methods: As of July 2022, PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure were searched through electronic databases. Eligibility criteria RCTs evaluate RCTs of acupuncture rehabilitation on treatment events in depressed patients after stroke, compared to a control group. Results: Eight studies were included (n = 16,422). When combined with antidepressant/sham acupuncture efficacy, acupuncture intervention observably reduced HAMD scores (MD= -0.55,95% CI= -1.57 to -0.48, P=0.30, I²= 0%). Meanwhile, acupuncture rehabilitation also reduced BI scores (MD= 1.87,95%CI= -3.77-7.51, P=0.51, I²= 0%) and CGI-S score (MD=0.43,95% CI = 0.06-0.77, P =0.01, I² = 0%) compared with antidepressants / sham acupuncture. Second, the occurrence rate of combined negative events was dramatically lesser in the acupuncture groups, as indicated by the SERS scores (MD= -4.85,95% CI= 5.67 to -4.04, P

As the global community converges upon the imperative of sustainability and the overarching objective of attaining net-zero carbon emissions, understanding nuanced interrelationships in environmental economics becomes paramount. By comprehending the connection between carbon emissions and economic growth, economies may implement sustainable energy policies and develop energy resources. The main objective of this study is to give a broad overview of the relationship between CO2 emissions and economic development in different countries. Within the framework of this study, historical data have been meticulously collected during the past three decades (1990-2020). The analysis scrutinizes prominent trajectories of GDP and carbon emissions for a cohort of representative nations spanning recent decades, stratifying them in accordance with their stipulated net-carbon emission benchmarks. The denouement of the article accentuates the symbiotic interplay between carbon emissions and economic ascension, proffering sagacious objectives for sovereign entities to contemplate.

This research focuses on democratization and consolidation in Central and Eastern Europe, specifically examining the Visegrad Group (Poland, Hungary, Slovakia, and the Czech Republic) after the Cold War and EU Eastern Enlargement. Using different democratization and European Integration theories, it explores the factors influencing democratization, consolidation, and stability in this region. This study analyzes the transition from communism to democracy, the impact of European Integration on democratization, and the role of civil society organizations in promoting democratic values. It acknowledges the challenges posed by populism and illiberalism and suggests practical policy solutions to strengthen democratic values and stability in Central and Eastern Europe.

CO2 emission control is of great urgency, and the decrease of heavy-duty diesel engines’ CO2 emission is one of the significant methods to reduce CO2 emission. This paper uses a full-flow constantvolume dilution sampling system to experiment on the China VI heavy-duty diesel engine in order to measure CO2 emissions under WHTC and WHSC cycles and different loads, with studying the instantaneous emissions characteristics of CO2, post-processing effects on CO2 emissions, influence factors of CO2 emissions. The study found that the CO2 emissions before the post-treatment of the WHSC cycle are 37% higher than that of the WHTC cycle, while emissions of CO2 are 3.45% higher than that before post-treatment. Simultaneously, cold start increases the CO2 emissions of the heavy-duty diesel engines by more than 1%. Post-treatment still increases the CO2 emissions of heavy-duty diesel engines by 3.5%. In addition, CO2 emissions have different trends with power at different speeds. CO2 emissions get an incremental within 600rpm and 900rpm, which gradually becomes slower until it reaches the peak, as engine power increases; the CO2 emissions initially increase, followed by a decrease, and then continue to increase within 1000rpm and 1400rpm; the CO2 emissions are almost not affected by the speed within 1500rpm and 1900rpm.

This paper adopts Sharepower solar floating photovoltaic power station unit. The structure is simulated and analyzed, the strength of a single solar structure support is analyzed, the photovoltaic array structure is analyzed, and the rectangular and square structures with different wind directions are analyzed.

In recent years, the water supply task of urban water supply pipe network is more and more heavy, and leakage accidents of pipe network often occur, among which the most serious leakage accident is pipe burst accident. To solve this problem, this study uses WaterGEMS software to establish the topological structure of water supply pipe network, adopts the water supply pipe network model and computer technology to carry out dynamic analysis on pipe burst accident of pipe network, and uses golden section method to predict the water leakage caused by pipe burst accident state.

In this work, HKUST-1 and different metal modified HKUST-1 materials were investigated in Hg0 removal performance under air condition. Results showed that the pristine HKUST-1 only has a mercury removal rate of around 20%. After metal modification of HKUST-1, the removal efficiency was significantly improved. Among different modification materials employed in this study, HKUST-1 modified by manganese chloride exhibited the highest Hg0 removal efficiency of 95% at 250 oC. This value is relatively high compared with most previously reported catalysts. In addition, this study reveals that the enhanced Hg0 removal efficiency results from the increase of Brønsted acid sites on the sample surface, which is vital to Hg0 removal. Furthermore, it is found that SO2 produced little toxicity to Mn(Cl)/HKUST-1 in the presence of O2. This is beneficial to remove Hg0 in the industrial flue gas, where SO2 is a common component. Therefore, Mn(Cl)/HKUST-1 synthesized here is a promising catalyst for Hg0 removal.

As the only way to build the energy Internet, the key and difficult point of integrated energy system is to plan it reasonably and efficiently. This paper analyzes and summarizes the basic strategy, key technologies, control difficulties and influencing factors of integrated energy system control, summarizes the existing problems at home and abroad, and summarizes the content framework and control model of general integrated energy system control covering the source, network, load and storage links in a comprehensive way based on the latest research progress. According to the latest research progress, the paper analyzes the current control schemes, and concludes the development trend of the current integrated energy system collaborative control, makes a reasonable outlook on the future, and provides a way of thinking for people to study the integrated energy system in the future.

The high risk of real estate investment is the main obstacle to the orderly and healthy development of regional real estate market. To study the risk of real estate investment, it is necessary to analyze its influencing factors. This paper takes Tianjin as an example, based on six subsystems such as market factors and economic factors, analyzes the influencing factors of each subsystem, and synthetically determines the weight Coefficient of the index, constructing the risk System dynamics model of real estate investment. The result shows that the rise of interest rate and public emergency will bring great risk to the development of Tianjin real estate market. Finally, from the government’s point of view to establish a risk control mechanism for real estate enterprises to reduce the risk of investment to make reasonable recommendations.

In order to explore the risk assessment method of the multi-unit nuclear power plant site, this paper selects the dual-unit plant nuclear site to analyze lose off-site power accident. By combining and improving the single-unit ET/FT model, to establish the dual-unit ET/FT model. From the analysis of the accident sequence, it can be concluded that the common cause failure of equipment is the main challenge faced by the dual-units. Especially the RPC sub-channel in the reactor protection system and the failure of emergency diesel engine circuit breaker. As can be seen from the high proportion of core CD occurring simultaneously in both uints, it has a great significance to study the risk of mult-units sites.

At present, with the rapid growth of intermittent renewable energy, volatile power supply is replacing controllable power supply, and the difficulty of real-time balance between supply and demand is increasing year by year. In the future, the continuous development and utilization of this new energy will make the development and innovation of distributed energy storage technology become the general trend. Firstly, this paper briefly introduces the principle of distributed energy storage and the basic principle of multi energy coordinated operation, and analyzes its advantages and disadvantages from the perspective of economic optimization and energy utilization maximization. Secondly, it analyzes the application status and shortcomings at home and abroad, and puts forward the direction and expectation of possible breakthrough. Aiming at the problem that distributed energy storage can not participate in peak load regulation, the feasibility of multi energy interconnection distributed energy storage aggregation technology is discussed.

In order to rationally design the capacity of each energy coupling unit of the integrated energy system, effectively coordinate and optimize the control of the integrated energy system equipment. This paper proposes an improved cloud adaptive particle swarm algorithm design control method. First, three busbars and multi-energy coupling equipment models based on electric, thermal, and gas loads are established, and then the model has better global optimization capabilities and defenses. Then, an improved cloud adaptive particle swarm algorithm with better global optimization capabilities and anti-premature convergence characteristics is used to optimize the annual economic optimization model established to meet the power balance constraints of each bus and energy coupling equipment. Finally, under the conditions of output constraints and system energy purchase constraints, taking a typical park as an example, the simulation verifies the effectiveness of the method proposed in this paper in the optimization design and control operation of the integrated energy system.

In the current severe situation of continuous shortage of energy resources, the global energy structure is undergoing profound changes. New energy is the main direction of the energy transformation, and the iterative innovation of new energy technology is an important means to promote the transformation of the global energy industry. From the perspective of new energy technology, this paper mainly introduces wind power generation technology and photovoltaic power generation technology. Firstly, the basic principles of wind power and photovoltaic power generation technology are described; Secondly, it counts the current status of the global wind power and photovoltaic market in 2019 and the change trend of installed capacity during 2001-2019, further analyze the development status of these two new energy technologies; finally, it summarizes the development status of new energy technology and makes a prospect for its future development.

With the objective of improving the measure performance of Acoustic Doppler Current Profiler (ADCP) and promoting the level of marine environmental monitoring, the precision and accuracy of ADCP current measurement have been analyzed in detail based on the current flume with water concentration (0 - 20) kg/m3. The experiments indicated that the precision of ADCP current measurement is enhanced with the uprising of water concentration. The precision of ADCP measurement was significantly influenced by the water concentration when the current was (0.7-0.9) m/s, and it was less affected by the water concentration when the current was 0.3m/s. In addition, with the increase of water concentration, the accuracy of ADCP measurement increased at first and then decreased. The accuracy of current measurement was higher when the concentration was (9-11) kg/m3, and decreased in varying degrees outside this range. When the current was 1.1 m/s, the accuracy of ADCP was greatly affected by the concentration, while it was less affected by the concentration in the case that current is 0.3 m/s. The correlation analysis and conclusion can provide a reference not only for the research and development of ocean observation equipment, but also for marine scientific studies.

The combination of distributed generation and distributed energy storage technology has become a mainstream operation mode to ensure reliable power supply when distributed generation is connected to the grid. This paper first introduces two typical distributed energy storage technologies: pumped storage and battery energy storage. Then, it introduces the energy storage technologies represented by the “ubiquitous power Internet of things” in the new stage of power industry, such as virtual power plant, smart micro grid and electric vehicle. Finally, this paper summarizes and prospects the distributed energy storage technology.

When the Modular Multilevel Converter (MMC) fails on the AC side, the operating characteristics of MMC will be damaged. If the system wants to retain stable for a long time in the process of operation, it is obliged to design the control strategy in case of asymmetric fault. In this article, the control strategy based on feedback linearization principle is adopted to diminish the negative sequence current caused by breakdown, and a DC voltage controller is devised to suppress the fluctuation of the double frequency component under asymmetric fault conditions. The validity of the control strategy requires to be verified, the running results on PSCAD platform indicate this method is effective and feasible.

In this paper, bubbles are generated by controlling the air inlet volume of the ceramic tube array with a gas divider valve. Stimulation tests of sound attenuation characteristics of the wake of bubbles in a laboratory pool are performed. A measurement experiment of sound attenuation coefficient was carried out in the case of still water and bubbles with different particle sizes. The signal frequency is 20-200kHz. Through experimental research, it is found that the existence of bubbles makes the sound attenuation coefficient significantly larger. And the attenuation coefficient is related to the frequency of the sound waves and the size of the bubbles. At the same frequency, the larger the bubble size , the larger the attenuation coefficient will be. When the bubble size is constant, the attenuation of the acoustic signal in small bubbles will change greatly below 50kHz. Above 50kHz, the attenuation coefficient changes relatively smoothly and the fluctuation is small. In the case of medium and large bubbles, the fluctuation of the attenuation coefficient becomes larger than that in the small bubbles. Finally, the theoretically calculated sound attenuation coefficient is compared with the experimentally measured results. And the change trends of the two results are basically the same.

Suppose that L is a quasitriangular weak Hopf algebra with a bijective antipode and H is a weak Hopf algebra in the braided nonoidal category LM. We prove that the fundamental theorem for right H-Hopf modules in LM. Our results in this paper generalize previous fundamental theorem for Hopf module on the Hopf algebras and weak Hopf algebras.

A method based on high resolution multi-beam acoustic image was brought forward for jellyfish detection, and a moon jellyfish detection experiment was conducted on sea. In this experiment, clear acoustic images of individual moon jellyfish were obtained, acoustic method was verified available in moon jellyfish detection. Echo characteristics of individual moon jellyfish were analysed. In the echo image of individual moon jellyfish, four evident echo highlights were found, which were due to the four stomach pouches. Three acoustic characteristic parameters were proposed and estimated to describe jellyfish acoustic characteristics, which were acoustic diameter, acoustic height, and relative target strength. In addition, dynamic characteristic of moon jellyfish was also studied during its pulse motion.

In order to reduce the operating costs of enterprises and optimize the business environment, China implemented the policy of reducing the general industrial and commercial electricity price by 10% in 2018 and 2019. This study uses the social accounting matrix to evaluate the effect of policy implementation on the price level of Henan Province. Through price transmission, we analyze the impact of industrial and commercial electricity price changes on production price and consumer price fluctuation of other sectors. The results show that the adjustment of general industrial and commercial electricity price has limited effect on the overall economic price level of Henan Province. The impact of electricity price adjustment on urban consumer price index is higher than that of rural consumer price index.

Continuous cleaning process of the molten copper slags in a channel reactor under a vertical electric field is proposed. The copper-matte settling velocity under the vertical electric field is much faster than that only under the gravity in the molten slags, and the electric field can also accelerate the magnetite reduction. Cu content in the slag can fall below 0.35 wt. % during the continuous cleaning process, which exceeds much more existing slag treatment process. In addition, the behaviours of some other heavy metal elements in the molten slags during the continuous process are also discussed.

In recent years, a kind of mulberry pests which were known as the mulberry gall midge Cotarina sp. in different mulberry planting areas occurred popularly in China. This study aims to screening high efficacy and low toxicity insecticides for controlling Cotarina sp.. The current study can help understand integrated pest management (IPM) of Cotarina sp. by scientific and reasonable insecticide use. Field experiment was carried out to investigate eight insecticides, treated with 3 concentration gradients. The result shows that Imidacloprid, Thiamethoxam, Cyromazine, Bifenthrin and Cypermethrin·Profenofos had high control effect on the mulberry gall midge.Their pesticide residues were all less than Chinese Standard GB2763-2016, which means that they were feasible to control this pest. This paper shows that, to control Cotarina sp. in fruit mulberry production, 10% Imidacloprid WP with 2000~3000 dilution and 25% Thiamethoxam WDG with 1500~2500 dilution and 80% Cyromazine WDG with 1500~2000 dilution are the best. 2.5% Bifenthrin EW with 1000~1500 dilution and 440g/l Cypermethrin·Profenofos EC with 1000~2000 dilution should be used by selection. However, Bifenthrin or Cypermethrin·Profenofos cannot be used in mulberry field for both fruits and leaves, so as to avoid causing silkworm poisoning.

Joint DOA-range-polarization estimation with a novel radar system, i.e., spatially separated polarization sensitive random frequency diverse array based on multiple-input multiple-output (SS-PSRFDA-MIMO) radar, is discussed. The proposed array can obtain not only unambiguous range estimation but also polarization parameter estimation. Firstly, the signal model of SS-PSRFDA-MIMO radar is constructed. Secondly, dimension reduction multiple signal classification (DR-MUSIC) algorithm is extended to parameter estimation with the proposed array. Last, simulations demonstrate the proposed algorithm is effective to estimate parameter, and the performance of proposed array is better than that of polarization sensitive frequency diverse array based on MIMO radar. It is worth mentioning that the Cramér–Rao lower bound (CRLB) of range estimation with the proposed array is much lower than that of PSFDA-MIMO radar.

The buildings provide a significant contribution to total energy consumption and CO2 emission. It has been estimated that the development of an intelligent power consumption monitor and control system will result in about 30% savings in energy consumption. This design innovatively integrates the advanced technologies such as the internet of things, the internet, intelligent buildings and intelligent electricity which can offer open, efficient, convenient energy consumption detection platform in demand side and visual management demonstration application platform in power enterprises side. The system was created to maximize the effective and efficient the use of energy resource. It was development around sensor networks and intelligent gateway and the monitoring center software. This will realize the highly integration and comprehensive application in energy and information to meet the needs with intelligent buildings

To better coordinate the interaction of inhalation and aerosol release, an intelligent adapter (IA) was developed for metered dose inhalers (MDIs). The adapter included three main units: a signal acquisition device, a micro-control-unit (MCU), and an actuation mechanism. To fully study the effectiveness of the intelligent adapter, an inhalation simulation experiment was done, and two bands of MDI were used for the experiment. The results indicated that, when inhalation, the intelligent adapter can press down the MDI automatically; moreover, this intelligent adapter could achieve an aerosol-release time Tr of 0.4 s for MDI A and 0.60 s for MDI B, which compares very well with the existing pure mechanical systems at 0.8 s and 1.0 s.

Maritime moving targets continuation observation has important implications to maintain the safety of the navigation barrier. Existing methods either rely on satellite observations, or only rely on UAV observations. Even though the two cooperative observations, it confined to a simple task allocation. They did not solve the problem of maritime moving targets continuation observation. On the basis of difference between satellites observation and UAV observation, we constructed the aerospace collaborative continuation observation model for maritime moving target, and put forward aerospace collaborative continuation observation strategy (ACCOS) to reduce the complexity of solving the model. According to the spatial and temporal characteristics of the task, ACCOS extracted five sub problems to solve the model: Satellite planning, UAV flight plan, UAV observation sequence, target potential area and distribution probability density prediction, UAV path planning. In order to realize the optimization goal of the model, the five sub problems are modelled and solved in turn. Finally, the simulation results show that the proposed method can greatly reduce the average observation period of the target, and effectively solve the problem of the continuous observation of maritime moving target.