bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Progress of Humic Acid Fertilizer on the Soil
Authors: Li Yanan
Published: June 2020

Humic acid fertilizers are currently widely used in agricultural production, soil remediation and environmental protection. The application of humic acid fertilizer in the soil can not only optimize the soil structure and increase the utilization rate of fertilizers, but also promote the growth of crops, thereby achieving the effect of increasing yield and income. In the repair of contaminated soil, humic acid fertilizers can fix heavy metals and degrade organic pollutants. Based on this, in order to promote the efficient application of humic acid fertilizers in soil, the application of humic acid fertilizers in soil improvement and remediation of contaminated soil was explored.
A study of relationship between socio-economic factors and R&D funds based on spatial analysis
Authors: Xue Dingyuan
Published: June 2020

In this essay, we are going to study the relationship between socio-economic factors and R&D funds based on Spatial Autoregression. To start with, we introduce Moran’s I to describe a relationship between a variable and its spatial lag; After that, Principle Component Analysis is manipulated to operate a dimension reduction by orthogonal transformation; Ultimately, we use the Spatial Autoregression model to reflect the relationship between a province’s R&D funds and these five components as well as spatial lag of this province. According to the coefficients of the five principles, we find out that education and development of high-tech companies have positive impact on R&D funds while the population structure and employment structure also significantly influence the amount of funds.
Analysis of the Application of Gas Chromatographic Analysis Technology
Authors: Chen Xiaodan , Wang Liang
Published: June 2020

With the continuous development of the society and the continuous improvement of the level of scientific research, the research accuracy and precision requirements are higher and higher, followed by more accurate instrumental analysis methods. Gas chromatography has been widely used in many fields for its advantages of high separation efficiency, high sensitivity, fast analysis speed and wide application range. In this paper, the application of gas chromatography in industrial research, food inspection, environmental protection and environmental monitoring is described.
Study on automatic recognition method of Continental Shale Sandy laminae based on electrical imaging image
Authors: Zhang Guotong , Cheng Daojie , Hou Yanhong , Li Zhenlin , Zhong Lulu
Published: June 2020

Aimed at the characteristics of complex continental shale lithology, the development of sandy striae, and the difficulty of artificial recognition. In this paper, the sandy texture of the Chang 7 shale gas reservoir in the Mesozoic of the Yanchang Oilfield is taken as the research object. First, the core fine observation description and X-ray diffraction analysis of the whole rock minerals were carried out to determine the development characteristics of sandy striae of continental shale. Then the research focuses on methods such as full-wellbore wall restoration, automatic identification of the striae boundary, and construction of the striae development index model for the electric imaging log images. Finally, comprehensive evaluation is made on the sandy stratum of the extended continental shale gas reservoir. The results show that the mineral types of Changqi shale in the study area are mainly clay minerals, quartz and feldspar, and the average thickness of sandy lamina is 1.93cm, with a layer density of 26 layers/m. After verification and analysis with core description, the method based on image recognition can accurately identify the striae layer, which lays a foundation for shale gas layer selection in the study area.
An Economic Analysis of the rise of Folk basic Education in China and its Social effects
Authors: Wang Zhe
Published: June 2020

Folk basic education has made great contributions to Chinese education and has become an important part of the whole field of basic education, so its social contribution should be evaluated objectively and impartially. The rise of folk basic education is the inevitable result of the optimal allocation of resources in the education market, which makes the basic education market realize Pareto improvement, and the differential needs of some parents for childrenundefineds education and the helpless choice of their children working in cities are the important reasons for the rise and development of folk basic education. The folk basic education has had the obvious “spillover effect” to the society, and has the “supplementary effect” to the public education insufficient investment. Private basic education has become a breakthrough in supply-side structural reform in the field of basic education. This paper makes a concrete analysis and objective evaluation of the causes and social effects of the rise of folk basic education by using the economic model, and on this basis, probes into the concrete strategies for promoting the healthy development of folk basic education.
Impact of Water-Saving Renovation Projects on the Environment
Authors: He Jing
Published: June 2020

Water is an important raw material for industrial and agricultural production, and it is also a precious natural resource for human survival. Without water, there is no life, there is no good natural environment, and social and economic sustainable development cannot be achieved. The world today has entered an era of water stress and a global water crisis has emerged. Compared with other countries in the world, China’s water resources and water environment are more worrying. First, China’s total water resources are seriously in short supply. China’s per capita water volume in 1998 was 2251 cubic meters, which was only one quarter of the world’s per capita level. It is predicted that when China’s population increases to 1.6 billion in 2030, the per capita water resources will drop to 1760 cubic meters. Second, the spatial and temporal distribution of water resources in China is also very uneven. The absolute amount of water resources is less in the west and more in the east, while the per capita share is less in the east and in the west, and is distributed in two reverse degrees. Third, China’s water environment is also deteriorating, resulting in a decrease in the availability of water resources. With economic development, population growth, and urbanization, China’s demand for water resources will increase further in the future. How to resolve the contradiction between insufficient water supply and increasing demand has become a major issue to be studied and resolved urgently.
Decomposition Analysis of CO2 Emission in China’s Electric Power Industry
Authors: Ding Zequn , Li Kexian , Zhu Hongqing , Zhou Weiye , Liu Junliang , Bai Zhigang
Published: June 2020

The electric power industry is a largest contributor to fossil energy consumption and CO2 emissions in China. The LMDI-I method was selected and used to conduct the study in this paper. Decomposition analysis shows that the economic scale is the most important factor that affecting the electric power industrial CO2 emission among the seven factors studied in this paper, the effects of the electricity consumption scale and energy structural factors also plays a significant role in increasing CO2 emission. The generating efficiency factor and the ratio consumption to generation factor have played a key role in reducing CO2 emissions. Finally, based on the results the constructive suggestions to reduce the CO2 emissions has been put forward.
Effects of Hyperaccumulator Sedum Plumbizincicola Intercropped With Maize and Castor on Soil Microbes and Enzyme Activities under Field Conditions
Authors: Li Mingrui , Guo Jianfang , Jiang Ming , Zhan Fangdong , He Yongmei , Li Yuan , Zu Yanqun , Qin Li
Published: June 2020

The effects of Sedum plumbizincicola intercropped with maize and castor on soil microbial populations and enzyme activities were investigated under field conditions. The quantity of bacteria found under maize/Sedum plumbizincicola intercrops were significantly reduced by 68.8% when the soil under Sedum plumbizincicola was assessed. The amount of fungi and actinomyces significantly increased by 70.5% and 620.6%, respectively, for Sedum plumbizincicola, while they decreased by 23.2% and 10.7% for maize as compared to counts found in monoculture models. The urease activities of intercropped maize and Sedum plumbizincicola were significantly increased by 63.0% for Sedum plumbizincicola, but no significant change for other intercrop combinations was observed as compared to the enzyme activity of the monoculture. The activities of catalase under maize/Sedum plumbizincicola intercropping were significantly promoted by 16.7% and 28.8%, respectively, but no significant changes were seen under castor/Sedum plumbizincicola intercropping. The activities of invertase on sucrose were enhanced significantly with all intercropping patterns as compared to that observed in the monoculture models. Together, this demonstrates that intercropping patterns are important for improving microbial count and enzyme activity in soil.
Research on Situation System Based on Big Data Image -- Taking Road Traffic as an Example
Authors: Zhu Yinghao , Zhao Jianxin , Li Xiaohang , Yu Ning , Liu Yuqing
Published: June 2020

In this paper, based on convolution neural network, object class awareness is carried out, Relu is selected as the activation function, which speeds up the training speed and overcomes the problem of gradient disappearance; using situation awareness technology and database technology, all object classes in the image scene are identified, and its location is specified. This paper takes the road traffic situation awareness system as the research object, and analyzes the information collection, processing and analysis process of the road traffic situation awareness system. CNN, R-CNN, Fast R-CNN and Faster R-CNN are used for vehicle classification and location recognition in road image big data.
Research on anaerobic treatment of food processing waste-water based on watershed water protection
Authors: Wang Yibo , Chen Xin , Huang Jieyun , Chen Luoru , Liu Yingxin , Huang Jinming , Wu Tongtong , Li Yuying
Published: June 2020

Sweetmeat is one of the non-staple foods and a kind of classic non-staple food. It is of great practical significance to study the treatment of candied waste-water from factories along the river basin. Take the digestible sludge from the pipe of the dewatering workshop of the sewage treatment plant and anaerobic treat the high-concentration candie waste-water in the plastic bucket. The results showed that the suspended matter concentration of waste-water decreased to 8.04 g/L and the removal rate reached 22.1% after 60 h treatment. The absorbance of waste-water decreased from 0.835 to 0.598, the color removal rate reached 32.4%, and the chroma of waste-water decreased from 500 times to 80 times, reaching the “secondary standard” of “comprehensive sewage discharge standard (GB8978-1996)”.
Analysis on the Characteristics of Temperature Change in Zhengzhou from 1990 to 2017
Authors: Yang Liangyan
Published: June 2020

In order to find out the changing trend of temperature and extreme weather in Zhengzhou under the background of rising global temperature. This study analyzes the changing trend of annual mean temperature and seasonal average temperature in Zhengzhou from 1990 to 2017 based on meteorological data. The extreme temperature index for 28 years was extracted. The results show that from 1990 to 2017, the air temperature in Zhengzhou shows a significant upward trend, and its rising rate is higher than that of the global warming rate. There are differences in the four seasons in Zhengzhou, with the largest change rate in spring, followed by summer and autumn, and the weakest warming trend in winter. The extreme temperature index in Zhengzhou has certain regularity, the extreme index FD0 decreases significantly, the change of ID0 is not obvious, and SU25, TR20 and HTD35 increase significantly. Except for the change of IDO is not obvious, other indexes can better reflect the warming trend of temperature in Zhengzhou, indicating that the extreme temperature index has an obvious response to the change of temperature and can be used as an index to study the change of urban temperature.
Optimization of Building Drainage System Based on Blocking the Transmission Route of Pathogenic Bacteria
Authors: Zhang Hongru , Lu Yifeng , Ge Zhiwei , Chen Yanchi
Published: June 2020

Some pathogens exist in the way of fecal oral transmission, while the risk of building drainage pipeline is easy to be ignored and hard to be eliminated. It is worth to reflect on the SARS incident in Taoda garden in Hong Kong, in case of group infection. At the same time, the transmission chain of pathogenic bacteria is analyzed, and according to the transmission chain, the idea of system optimization or solving the transmission of pathogenic bacteria is put forward.
A Migration Model to Predict the Distribution of Scottish Herring and Mackerel
Authors: Xu Minghao , Jiang Dongyu , Zhang Zhe
Published: June 2020

To identify climate-related habitat changes and variations in abundance and distribution of herring and mackerel around the waters of Scotland, a new habitat suitability index (HSI) model and Markov Model were developed in this study. The study only used the distribution of annual catch and fishing efforts. The suitability index (SI) was constructed by newly defined estimate-catch-per-unit-effort (ECPUE). Through the voting method and data of sea surface temperature (SST), the habitat suitability index model (HSI) was established. Based on the HSI, Markov Model was established to predict the movement of shoals. Using the predicted data of future SST, this model can simulate the changes of fish distribution.
Environmental Efficiency and Random Convergence Analysis of Large-scale Pig Breeding in China *
Authors: Zhang Ruixin , Fu Xinhong , Li Jianqiang
Published: June 2020

As the scale of live pigs in China continues to accelerate, the agricultural non-point source pollution caused by it is becoming increasingly serious. In this paper, the SBM-Undesirable model was used to measure the environmental efficiency of pig breeding in different scales in year 2008-2017, and the efficiency was analyzed by random convergence. Results show: from the overall average, the environmental efficiency of pig breeding in China is medium-scale, large-scale and small-scale in order, and the three-scale pig breeding has random convergence characteristics. From the perspective of different regions, with the environmental efficiency as a judge, the three scales of potential development zones perform well, and only the small-scale pig breeding shows random convergence; large-scale mode in key development zones performs well with no signs of random convergence, has poor stability, while the other two remain stable at a low level; small and medium-scale modes perform better in moderate development zones, all showing no features of random convergence; the three scales in constrained development zones don’t perform well, and all remain stable at a lower level. Based on the above results, this paper put forward differentiated policies for different scales and regions to promote healthy and green development of pig scale breeding.
Buffer Overflow Vulnerability Detection Based on Unsafe Function Invocation
Authors: Zhao Xianda , Huang Shuguang , Pan Zulie , Hui Huang
Published: June 2020

Buffer overflow vulnerabilities are widespread in software programs and pose a serious security threat. In order to effectively mitigate buffer vulnerabilities, we proposed a buffer overflow vulnerability detection technique based on unsafe function invocation. By extracting the typical characteristics of the insecure function call operation, a vulnerability code characteristic model is constructed, and the model is used as a guide to use the data flow analysis method for vulnerability detection. Experimental results show that our method can effectively detect buffer overflow problems caused by unsafe function invocation in programs.
An Improved Deep Belief Network for Chinese Emergency Recognition
Authors: Yin Haoran , Cao Jinxuan , Cao Luzhe , Wang Guodong
Published: June 2020

Aiming at the defects that the RBM module in DBN can only re-represent information but cannot extract information features, and can only handle one-dimensional data, the DBN network is improved, and a Conv-DBN model is proposed to recognize emergencies. First, the text corpus is preprocessed, and the word vector matrix generated by Word2Vec is used as input, and then the word vector features are extracted through the visible layer integrated into the convolution operation. Word vector features are used as the input of the next layer. Finally, every layers are fine-tuned through back-propagation at the top layer. The softmax function is used to activate, and the recognition result is output. Simulation results show that the method proposed in this paper has improved accuracy and recall, and F value is better than other methods.
Design and Research of Underwater Spherical Robot
Authors: Zhai Yuyi , Ding Zihang , Liu Yunjia , Jin Shaohua
Published: June 2020

Underwater detection has always been a hot area of technical research. The completely symmetrical structure of the spherical robot gives it a unique advantage in underwater exploration. This paper designs a new spherical robot that can move freely under water. It contains two propellers on the outside, which are driven by the motor to achieve forward, backward, and steering. Furthermore, the robot can float and sink by changing the volume of the ball by means of buoyancy. Finally, static and dynamic simulations will be performed to demonstrate the feasibility of the design.
Research on Gait Detection Algorithm Based on Plantar Pressure
Authors: Wu Youyu , Huang Rong , Ge Hua
Published: June 2020

In order to identify the relationship between dynamic plantar pressure information and hallux valgus, this paper proposes a CNN model to achieve a gait detection method based on plantar pressure. The plantar pressure data during walking convert into an image, and then the convolution neural network model in deep learning is used. Given enough input image data and expected classification results. By changing the parameters of CNN, the relationship between plantar pressure image and hallux valgus was established. Then final classification model is obtained. The result shows that the accuracy of the proposed CNN model for the diagnosis of hallux valgus achieve 90.56%, which can be used as a clinical assistant method for the diagnosis of hallux valgus. The experimental results verify the validity of the model.
Optimal Design Method of Merging Disk Files Based on Hot Data
Authors: Qian Lin , Xu Mingjie , Yu Jun , Li Weichao , Yuan Hao , Ren Jingbin , Mei Zhu , Pang Hengmao
Published: June 2020

In recent years, with the rapid development of big data technology, users are more and more inclined to solve the problems of large amount of data and complex business scenarios with big data platform. When the system is faced with the scene of data hotspot and frequent data modification, it will produce a lot of useless data and cause data hotspot problems, which make a lot of access to the level of disk storage. Unreasonable data allocation of HFile will affect I/O performance and reduce system availability. This thesis proposes a comparison strategy based hot data. According to the frequency of data access, this stategy change the selection method of merging subsequence of Exploring Compaction Policy, so as to achieve a more suitable effect for hot data query business.
Discussion on Evaluation Index and Weight of Resettlement after Flood Control Project of the Yellow River
Authors: Dang Tongjun , Huang Bo
Published: June 2020

The resettlement evaluation system for the recent flood control projects in the lower Yellow River consists of many economic indicators, social indicators, resource indicators and environmental indicators. Although the design of quantitative indicators is the main one, many of them are still used in order to better reflect the evaluation objectives. Qualitative and fuzzy indicators, traditional methods and means have been difficult to be competent in the comprehensive analysis of multi-factor and multi-level in the production and living system of immigrants. Yaahp software, based on the basic research method of AHP, constructs a hierarchical structure model, and assigns weights and calculations to post-immigration evaluation indicators.
Evaluation of comprehensive economic, ecological and social benefits of land improvement projects
Authors: Lu Nan , Li Gang , Li Yan
Published: June 2020

With the rapid development of urbanization, a large number of arable land resources have been occupied, the amount of arable land has fallen sharply, and food security issues have become prominent. In order to protect arable land resources and ease the pressure on land use, the role of land improvement has become increasingly prominent. Objectively evaluating the implementation effect of land improvement projects is a prerequisite for sustainable use and development of land resources. The article expounded three aspects of the role and development process of land remediation projects, the necessity of land remediation benefit evaluation, and an overview of land remediation benefit evaluation methods.
Research on Forecasting Model of Daily Discharge in Karst Area Based on Mea Grey Neural Network
Authors: Li Xia , Jin Xin , Guo Pan
Published: June 2020

The water-bearing system in the karst area is complex and changeable. Water in the water-bearing medium has the characteristics of coexistence of fissure flow and pipeline flow, coexistence of laminar and turbulent flow, coexistence of linear and nonlinear flow, coexistence of continuous flow and isolated water body. In areas where economic development is relatively backward, most areas lack data or no data. Based on the characteristics of the karst area in the southwest, this paper proposes a thinking evolution algorithm to optimize the gray neural network model. This method improves the optimization ability of runoff prediction models and effectively overcomes human neural network learning. The speed is slow and there are inherent shortcomings of local minima. After studying the daily flow forecast of Zhenlong Station, it is shown that the relative error of the prediction is small and can be effectively used for short-term runoff prediction.
Design of Distributed Environment Monitoring Management System from The Perspective of “Trust”
Authors: Ding Yueqing , Liu Cuihong , Yang Jianhua
Published: June 2020

Pick to: in view of the city noise pollution monitoring method of the single, tamper with the problems such as low efficiency and environmental monitoring data, based on the concept of intelligent city innovation thinking of urban environmental regulation, through the block chain technology in the “wisdom” environmental protection system for analysis, clear target of urban environment health supervision agreement mechanism demand, based on the analysis of environmental monitoring business block chain design train of thought, on the basis of block chain technology of urban environmental noise distributed monitoring as an example, based on the technology of block chain distributed noise monitoring procedures and processes, to explore the applications on the “wisdom” environmental protection system and draw inspiration.
Evaluation of Industrial Eco-Efficiency in Beijing-Tianjin-Hebei Urban Agglomeration
Authors: Li Jian , Li Ningning
Published: June 2020

The study of industrial eco-efficiency of Beijing-Tianjin-Hebei urban agglomeration is of great significance for promoting the supply-side reform and green sustainable development. The DEA and Malmquist indexes were used to conduct an empirical study on the industrial eco-efficiency of 13 cities in Beijing-Tianjin-Hebei region from 2011 to 2016. The results show that the overall industrial eco-efficiency of Beijing-Tianjin-Hebei urban agglomeration is relatively high, but there are obvious regional differences; the overall total factor eco-efficiency of Beijing-Tianjin-Hebei urban agglomeration shows a good development trend, and the technological progress efficiency is the main driving force for the improvement of ecological efficiency.
Research on the Cultivation of New Professional Farmers in Jilin Province Based on the Strategy of Promoting Agriculture by Green Environmental Protection Science and Education
Authors: Yu Hongmei , Jiang Miaoqing , Cui Ting
Published: June 2020

The key to agricultural modernization and environmental protection and green development depends on the progress of agricultural science and technology and the cultivation of new professional farmers. The cultivation of new professional farmers is the reality and future of modern green agriculture. The 19th National Congress of the Communist Party of China proposed a strategy for rural revitalization, which is the general plan for the work of “agriculture, rural areas and farmers” in the new period. Vigorously cultivating new-type professional farmers is a basic requirement for implementing the strategy of promoting agriculture through science and education and realizing agriculture and rural modernization. This article takes Jilin Province as a case, and on the basis of combing related research results, referring to the analytic hierarchy process and multiple regression analysis, analyses the causes of the formation of new professional farmers from multiple perspectives, and then analyses Jilin under the strategy of green agriculture through science and education The logical path for the cultivation of new-type professional farmers in the province proposes to adhere to the road of cultivation of new-type professional farmers that is “endogenous-led and exogenous-driven”.
Spatio-temporal Analysis of the Relationship between Regional Resources and Environment and Economic Development Based on Computer Technology
Authors: He Jinlian , Wu Peifeng , Tu Keqin
Published: June 2020

This paper uses computer entropy calculation method to take the Yangtze River Economic Belt as the research object, combined with the theory of resource and environmental carrying capacity, sustainable development, and coupled systems, selects 11 provinces and cities in the Yangtze River Economic Belt as the research object, and establishes a time-space evolution cycle. Coupling model of capital and resources environment. The research results show that during the five-year period, the carrying capacity of regional environmental resources has shown that the eastern and western parts are better and the central part is weaker. Over time, the carrying capacity has gradually improved. In terms of sustainable development, the eastern coordination ability is strong, and the central and western areas are weak. In terms of time, resources, environment and economy are developing in a more coordinated direction. In view of the above, the paper puts forward corresponding development suggestions, hoping to enhance the development potential of the Yangtze River Economic Belt.
Design of smart laboratory management system based on cloud computing and internet of things technology
Authors: Li Suiqun , Gao Xiang , Wang Wenjie , Zhang Xinrui
Published: June 2020

In view of the backward and low efficiency problems of laboratory instruments and equipment management and laboratory environmental monitoring in Colleges and universities, by analyzing the traditional management mode and method of the laboratory, based on cloud computing platform of Sichuan University of Science & Engineering and radio frequency identification, wireless sensor network, Internet and other technologies, the construction scheme of the laboratory instrument and equipment management platform was designed. The system architecture, system topology, software functions have been designed. The system is applied to the management of scientific research and teaching laboratories in Colleges and universities, improving the efficiency of supervision and utilization of equipment, and precisely maintaining the life cycle of equipment.
Quick cleaning device for small water blooms in landscape water bodies
Authors: Cheng Tianyi , Liu Lu , Zhang Wenyao
Published: June 2020

For small urban landscape water algae bloom clean up the problems, designed a self-cleaning device bloom quickly. The device has: 1) for the urban landscape water algae bloom clean up, eliminate manual cleaning defects, breaking the city clean blind; 2) intelligent management control, real-time monitoring to meet the demand for manageable; 3) incorporated a variety of algae, view full clean water; 4) after processing cyanobacteria organic processing, and re-use waste resources.
Research on Physical Layer Encryption Scheme of Tactical Network Based on WFRFT
Authors: Wu Jialong , Ren Qinghua , Li Ming
Published: June 2020

In view of the characteristic of all-domain openness of tactical network, a Weighted-type Fractional Fourier Transform-based encryption modulation scheme of physical layer constellation is proposed based on the aliasing characteristic of WFRFT signal constellation diagram. On this basis, the influence of weighted parameters on system safety capacity and reliability is considered, and WFRFT weighted parameters are optimized. The simulation results show that when SNR is 15dB, the BER of the system meets the requirements of secure communication, and the low interception performance of the system will be well realized.
Research on Principle, Application and Development Trend of Laser Gyro
Authors: Wang Shaodi , Zhang Zhili
Published: June 2020

The paper briefly introduces the working principle, main structure and function of the laser gyro, and expounds its advantages over other gyros. At the same time, the paper combs the development history of laser gyro and the application of foreign manufacturers’ products, and analyses the main methods and future development trends to improve its accuracy.
Fuel Consumption and Emissions at China Automotive Test Cycle for A Heavy Duty Vehicle based on Engine-in-the-loop Methodology
Authors: Wang Xiaowei , Fu Tieqiang , Wang Chuanqi , Ling Jian
Published: June 2020

In this paper, the engine-in-the-loop (EIL) method was used to study the fuel consumption and emission characteristics of heavy-duty trucks at China Automotive Test Cycle (CHTC-HT) and world transient vehicle cycle (C-WTVC) on an engine test bed. The result of the vehicle speed followability shows that the difference between the actual vehicle speed and the target vehicle speed is within ±2 km/h, indicating that the vehicle cycle can be well reproduced on the engine test bed by EIL method. The consistency results of fuel consumption and emissions indicate that the fuel consumption error is 0.89%, the NOx error is 1.02%, and the particle number (PN) error is 5.04%. For this vehicle, the fuel consumption per 100 kilometers at CHTC-HT is 21.33L, which is 2% higher than that of C-WTVC; while NOx emissions of CHTC-HT are 59.2% higher than that of C-WTVC. It is more difficult for enterprises to meet the fuel consumption and NOx emission standards under China Automotive Test Cycle.
The Research on Adsorption of Cd (II) by Magnetic Biochar
Authors: Yang Di
Published: June 2020

In order to get a deepen understanding of the impact on environmental behavior of Cd (II) made by application of magnetic biochar, this article discusses possible adsorption mechanism of magnetic biochar to Cd (II). We made six magnetic biochars through coprecipitation method and pyrolysis under N2 at 200°C-600°C using pine and corn straw. The magnetic biochars (MB) were characterized by element analyzer, FTIR, zeta potential and SEM. the adsorption behavior was studied by batch experiments. The resuls are as follows: with pyrolysis temperature improving, indicators such as pH, aromaticity, surface area of magnetic biaochars improves; the Freundlich model shows better fitting result of adsorpiton to Cd(II) by magnetic biochar and 400°C magnetic biochars have highest capacity for Cd(II) with MB coming from corn straw higher performance.
Influence of particle size and extraction time on soil pH analysis based on SPSS software
Authors: Ji Wei
Published: June 2020

Soil pH is an important index of the basic physicochemical properties of soil. In this paper, the effects of different soil particle size (0.9 mm and 2.0 mm) and extraction time (10 min, 30 min and 60 min) on the soil pH analysis were analyzed. SPSS software was used to analyze the data for significance analysis. The results showed that the particle size and extraction time had little effect on the pH value during the process of soil pH determination.
Analysis of the Construction Path of Low-carbon City in Fuzhou
Authors: Wang Zhe
Published: June 2020

With global warming and urban pollution becoming more serious, high energy-consuming and polluting industries have also brought about a large number of carbon emissions and environmental pollution problems when solving employment and promoting economic growth. How to resolve the conflict between economic development and environmental protection is already an unavoidable economic and social issue. And building a low-carbon city can not only achieve sustainable economic development, but also meet the needs of people for a better life. This paper takes Fuzhou as the research object, firstly introduces the achievements made by Fuzhou in the process of building a low-carbon city in recent years; then it analyzes its remaining problems; and finally puts forward countermeasures and suggestions.
Big Data and the Rise of Land Engineering Disciplines
Authors: Zhang Lu , Ma Zenghui , Hu Ya , Kong Hui
Published: June 2020

The era of big data has arrived, and big data technologies have penetrated into various industries. As an emerging discipline, land engineering has its scientificity and necessity. First of all, changes in thinking methods and methodologies have spawned big data. Second, the integration of research objects and content in land engineering requires big data. Then there is big data as a new planning and design technology, which can effectively promote the construction and development of land engineering disciplines. Therefore, it is an inevitable trend to use the innovative technical means of big data to promote the development of land engineering disciplines.
Precision Poverty Alleviation and Energy Governance
Authors: Tan Yong
Published: June 2020

Fighting against poverty is one of the three major challenges in the report of the 19th National Congress. Its needs full of self-evident and good energy industry which is a major item in the national economy and the people’s livelihood. Energy industry is a unique and important factor in “precise poverty alleviation”. Li Gang, a researcher at the Development Planning Department of the National Energy Administration, said at the “2018 China Energy Industry Poverty Alleviation Summit Forum” held recently that energy, as an important material foundation and driving force of modern society, plays a pivotal role in this tough battle.
On Sustainable Development of Low-carbon Tourism in Jiangxi Province
Authors: He Jianbo , Tu Xin
Published: June 2020

Low-carbon tourism is a kind of green tourism meaning reducing CO2 emissions during tourism activities. In recent years, the contradiction between eco-environmental protection and economic development becomes increasingly outstanding. Thus, the low-carbon tourism, as the developing trend of tourism industry, owns great value and significance. This paper makes a comprehensive research on eco-environmental protection problems existing in developing tourism industry in Jiangxi. Meanwhile, from the perspectives of government, tourism enterprises as well as tourists, the paper also puts forward corresponding countermeasures to sustainable development of low-carbon tourism in Jiangxi.
A method of RCS Sequence extraction based on CAC + EMD
Authors: Mao Nanping , Su Yan , Pan Gaofeng , Liu Guoqing , Sun Xiaodong
Published: June 2020

When the spatial object possesses the periodic motion, an obvious periodic phenomenon can be produced by its RCS sequence. Some methods such as Fast Fourier Transform Algorithm (FFT) and Circular Autocorrelation Function (CACF) can be used to judge the existence as well as the extraction of the sequence’s periodicity. Autocorrelation Function, Average Magnitude Difference Function (AMDF) and their combined transformation are essentially estimated by the correlation of their periodic signal. More than two periods of observation time is needed for accurate estimate. Furthermore, the requirement of the date rate is high and. Furthermore, such methods always accompanied by the errors of frequency multiplication and frequency division. In this paper, a periodic discriminant and estimation method combining cyclic autocorrelation and empirical mode decomposition is proposed. The periodicity of the original signal can be enhanced by the cyclic autocorrelation (CAC), and the signal component with the relatively complete periodicity can be obtained by the empirical mode decomposition (EMD). The periodic estimation of the measured data showed that the period estimated by CAC +EMD is more stable. In addition, this method is also effective in extracting the signal period with the weaker periodic phenomenon. In this paper, a periodic discriminant and estimation method combining cyclic autocorrelation (CAC) and empirical mode decomposition (EMD) is proposed (CAC+EMD), and a comprehensive comparison with the Single method is made, both CAC and CAC+EMD can extract the stable signal’s period effectively. With the gradual increase of noise discriminant effect of CAC+EMD on signal period is much better than CAC. Because CAC does not have the ability to process the non-stationary signal, so this method has a poor discriminant effect on signal period. As for the discriminant effect of CAC+EMD, there is no difference between stable signal and non-stationary signal.
Based on the study of dormitory sound monitoring system
Authors: Zhe Wang
Published: June 2020

In order to bring convenience to the management of college dormitory, through the continuous communication and investigation of college students and administrators, and the continuous practice and research on the system functions, a set of student dormitory assistant management system based on sound monitoring is developed to replace the purely artificial way to manage the dormitory of boarding school. This system includes mobile terminal, hardware terminal and server, and the combination of the three, as far as possible to achieve real-time monitoring of dormitory sound, and timely feedback, so that students can abide by the discipline in the dormitory, have a good rest environment purpose. The hardware terminal of the project is able to identify the source of the sound by detecting the decibel value of the sound and artificial intelligence. There is no recording function, so there will be no privacy issues involved.
The Implementation and Result Processing of Highway Engineering Metrology Comparison
Authors: Zhang Chunxia , Zhang Biaozhi , Lin Zhidan
Published: June 2020

With the need of highway industry measurement standard value transmission and traceability, this paper surveys and analyses the measurement comparison activities carried out inside and outside the industry and study the implementation and evaluation of the measurement comparison. To improve the analysis precision of the method and the credibility of the results of the analysis, we establish the evaluation model, which is verified by an example. The results provide support for the establishment and improvement of highway engineering measurement system.
Stability Analysis and Strategy of Bag-Type Dust Removal System
Authors: Xia Rongchi
Published: June 2020

With the progress of human civilization and the growth of population, how to properly dispose of garbage to make it resource - based, reduced and harmless has become the focus of current society and governments at all levels. The paper analyzes the operation stability of bag-type dust removal system through mathematical model, looks for the balance between people’s environmental requirements and garbage incineration, and proposes relevant monitoring schemes to the government, ultimately seeking to improve the stability of dust removal system. In this paper, the direct proportional relationship between the stability and the concentration difference of the bag dedusting system is obtained. It is shown that the dust concentration in the air decreases after the bag is replaced compared with that before the bag is replaced, and some feasible suggestions for environmental monitoring are put forward according to the model conclusion.
Research on the Recycling Model of Waste Mobile Phone Based on System Dynamics
Authors: Lu Yuzhu
Published: June 2020

Mobile phone replacement is accelerating, the waste of mobile phone will not only cause a lot of waste of resources, after the simple landfill, the heavy metal infiltration into the soil, rivers and groundwater, but also soil and water pollution, bring serious harm to the animals and plants in contact with the soil and water. Efficient and standardized recycling of increasingly used mobile phones has become an urgent social problem to be solved. The emergence and continuous improvement of “Internte plus” recycling mode of used mobile phones make it possible to solve this problem. On the various influence factors of recovery efficiency, and their relations on the basis of the analysis of building “Internte plus” old cell phone recycling model of system dynamics model, using Vensim software to draw causal loop diagram and in view of the old cell phone recycling price, information security and logistics cost effect on the recovery mode efficiency is analyzed. Research shows that information security is the most important factor affecting the efficiency of “Internte plus” waste mobile phone recycling model.
Polymorphism of Congjiang Pigs FUT1 Gene and Its Association with Carcass and Meat Quality Traits
Authors: Zhang Xiong , Shi Kaizhi , Wang Jing , Zhang Jing , Zhao Chunping , Du Chunlin
Published: June 2020

In order to investigate the effects of the M229 and M307 locus in FUT1 gene on the carcass and meat quality of Congjiang pigs. In this study, PCR-SSCP, PCR-RFLP and direct sequencing methods were used to quickly type the M229 and M307 loci, and then the association between different genotypes and meat traits was analysed. Population genetic structure analysis showed that M229 locus of FUT1 gene was in Hardy-Weinberg equilibrium, with high polymorphism information content, rich genetic diversity and large space for directional breeding. However, the M307 locus had the opposite result, showing a skewed distribution. Correlation analysis showed that the average backfat thickness index of CT and TT genotypes from the M229 locus of FUT1 gene in Congjiang pigs was significantly lower than that of CC (P <0.05). The conclusion of this experiment indicates that the M229 locus of FUT1 gene can be strengthened in Congjiang pigs, which can be used for breeding applications.
Application Progress of Bear Bile Powder and Ursodeoxycholic Acid in Liver Disease and its Mechanism of Action
Authors: Zhao Xin , Wang Ruipeng , Cao Zhengmin , Liu Shuang
Published: June 2020

Liver disease is a type of disease that threatens human life and health, including viral liver disease, cirrhosis, fatty liver, liver cancer and other liver diseases. Slowing or even blocking the progress of liver disease has great clinical significance. Today, western medicine lacks effective treatment for liver diseases, and Chinese medicine has achieved significant results in the treatment of liver diseases. This article reviews the application progress of ursin bile powder and ursodeoxycholic acid in liver disease, and hopes to advance the mechanism of ursin bile powder and ursodeoxycholic acid in the treatment of liver disease, which will help its clinical application and new drug development.
Assessment Method for Residual Value of Lead-acid Batteries Based on PAM Clustering Algorithm
Authors: Feng Xuesong , Zhang Xiaokun , Xiang Yong
Published: June 2020

As the residual value of the lead-acid batteries is not effectively evaluated in the current scraping and recycling processes of the lead-acid batteries, the partition around medoids (PAM) clustering algorithm is adopted, and the scraped lead-acid batteries are classified with the changes in the temperature and charge-discharge occurring when the lead-acid batteries are in service as the characteristic parameters. Besides, the validity of the algorithm is validated using 300 lead-acid battery packs to be scrapped at the communication base station, from which the results showed that the residual value of the lead-acid batteries can be effectively distinguished by the partition around medoids algorithm according to the temperature and charge-discharge characteristic parameters.
Study on the Anti-inflammatory Mechanism of volatile oil of Amydrium sinense based on network pharmacology
Authors: Lv Lijuan , Huang Xulong , Li Xiaofen , Fang Rongze , Wang Xiangpei , Zhong Ke , Wu Hongmei
Published: June 2020

Amydrium sinense has been widely used to treat rheumatism are in ethnic areas. The modern studies have shown that rheumatism is closely related to inflammation, and volatile oil of traditional Chinese medicine has anti-inflammatory activity, but the mechanism is not fully elucidated. In this study, the potential mechanism of anti-inflammatory effect of Amydrium sinense was systematically explored by using the network pharmacology. Firstly, the active chemical ingredients of Amydrium sinense were prescreened according to ADME parameters (OB≥30% and DL≥0.18) and the Pharmacological activity. The potential targets were screened with the databases of TCMSP. Then the “component-target-disease” network was constructed using Cytoscape 3.6.1 software. Finally, GO (gene function) enrichment analysis were carried out by biological information annotation database (DAVID), and signal pathway analysis were executed by KEGG Pathway database. The network analysis revealed that 27 compounds were screened as active compounds; 193 targets were searched, of which 38 potential targets the most were closely related to the prevention and treatment of inflammation. In addition, it suggested that 212 biological processes and 79 signalling pathways were screened. Among them, the signalling pathway most closely related to the relevant regulated of NF-kB, TNF, Toll-like receptor signalling pathway, Hepatitis B and Inflammatory response, etc. Its anti-inflammatory mechanism may coordinate with each other through multiple processes to exert anti-inflammatory biological effects. The above results provide strong support for studying the molecular mechanism of Amydrium sinense in the treatment of inflammation.
Drug-attached magnetic nanoparticles: Locomotion control and in vivo biocompatibility
Authors: Qian Xu , Yin Ruixue , Gu Yuanxin , Zhang Hongbo , Zhang Wenjun
Published: June 2020

Magnetic nanoparticles (MNPs) are playing an increasingly important role in the biomedical fields such as the diagnosis, treatment and monitoring of various diseases. Due to the unique properties of MNPs, MNPs with functionalized non-toxic surface coatings can be used for drug delivery in combination with therapeutic drugs or chemical molecules. A novel type of drug-attached magnetic nanoparticle was presented, where insulin was bound to magnetic Fe3O4 nanoparticles (MNPs-Insulin). It was particularly proposed for the future in vivo control to realize the targeted locomotion. The properties of the MNPs-Insulin were characterized by Fourier-transform infrared spectra (FTIR), thermo gravimetric analysis (TGA) and vibrating sample magnetometer (VSM) analysis. The ability of magnetic control was tested in the local motion control system in vitro. The good biocompatibility was certificated by Hematoxylin-eosin staining (HE) on mouse.