bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the problems of enterprise internal audit under the background of artificial intelligence
Authors: Zhou Guangxiu
Published: April 2021

With the progress of science and technology and the popularization and development of the Internet, emerging technologies such as big data, intelligence, mobile Internet, cloud computing and blockchain technology have been applied and promoted. Facing the new background, new situation, new changes and new requirements, enterprise internal audit is facing opportunities and challenges. The wide application of artificial intelligence, big data and other technologies can effectively improve the efficiency and quality of internal audit, but also bring many challenges to the development of internal audit. Internal audit should re-examine its own functions, and actively make adjustments in the stages of audit preparation, audit implementation and audit completion, so as to meet the development needs of the new era. This paper expounds the problems faced by enterprise internal audit under the background of artificial intelligence, and puts forward the methods to solve the problems. In order to provide reference for the development of internal audit, and truly realize the value-added role of internal audit for enterprises.
Sand content calculation model based on characteristic analysis of sand-carrying oil flow acoustic signal
Authors: Kai Feng , Kai Wang , Renqi Fu , Jiaxu Chen , Weiping Sun , Wanxiang Lou
Published: April 2021

Aiming at the problem of sand production in oil wells during offshore oilfield exploitation, this paper presents a method for real-time monitoring and acquisition of sand production changes in oil wells. The acoustic signals of the sand-carrying oil flow impactting the inner wall of the pipeline is collected by acoustic sensor installed on the outside of the production pipeline. The characteristics of the signals are analyzed in time and Time-frequency domain to establish a sand content calculation model. The experiment design was based on the indoor simulation of sand production monitoring platform. The objective of this study is to investigate the relationship among the energy of sand-carrying two-phase flow impact acoustic signal, oil flow viscosity, sand particle size, and impact velocity. The characteristics of the acoustic signal in the time-frequency domain system are analyzed by the STFT. The results show that the sand content calculation model can effectively obtain the sand content in the pipeline on the characteristic frequency band of 21.9∼22.1kHz of sand impact acoustic signal. The calculation error of the sand content is no more than 10%. The model can effectively reduce influence of fluid noise on the calculation of sand content. It can accurately monitor the sand content of sand production wells in real time, which provides technical guarantee for safe and efficient production of oil fields.
Granger causal weather time series forecasting simulation combined with mutual information
Authors: Xu Fengkui , Sun Shibao , Zhao Pengcheng , Jia Shaoyong
Published: April 2021

Meteorological science is becoming more and more familiar. The internal driving relationship of weather, timing sequence and its accurate prediction are hot topics in the field of meteorology. This paper proposes a granger weather, timing sequence causal prediction method combining mutual information. In this paper, the information entropy characteristic matrix of the Granger feature set is calculated through mutual information. It while verifying the causal relationship of the weather, timing variables such as temperature, humidity and wind speed, it mines the effective input variables to achieve the purpose of reducing the dimension of time-series data features and improves the prediction accuracy of the target model. Finally, the open source weather data set is used to make a comparative experiment between qualitative and quantitative analysis of the proposed algorithm. The simulation results show that the method is feasible and effective.
A Short-term forecasting model of load demand in summer of Chongqing based on BP neural network
Authors: Zhang Wenzhe , Shi Yan
Published: April 2021

Based on the historical load data collected in July and August 2020 in Chongqing, and in view of the characteristics of the regional load in summer Chongqing, a new short-term load forecasting method was put forward in this paper, which is based on BP neural network and takes into account social activities and meteorological factors. The simulation results show that the proposed short-term load forecasting method can accurately realize the daily maximum load forecasting, it provides a theoretical reference for load forecasting and power resource optimization of smart grid in the future.
Sonar image reconstruction method based on adaptive compensation of very shallow water acoustic channel features
Authors: Li Menglei , Rong Yingjiao , Wang Shirui , Wang Yuchen , Sun Ping
Published: April 2021

Aiming at the problem of eliminating the influence of channel interference on the detection results in the process of using sonar to detect very shallow water targets, a sonar image reconstruction method based on adaptive compensation of very shallow water acoustic channel features is proposed. Standard acoustic source and remote server are used to complete the adaptive calibration process of channel characteristic parameters before detection. The calibrated channel characteristic parameters are used in the subsequent beamforming algorithm to compensate the channel interference. The time-of-flight parameters calculated by the compensation algorithm are used in the subsequent point cloud generation and image reconstruction. Simulation and field test show that the proposed compensation method can improve sonar target detection ability by 25% in very shallow water and complex acoustic channel environment, and the quality of sonar image reconstruction is significantly improved.
Multi-source cross-project software defect prediction based on deep integration
Authors: Zhang Jing , Wang Wei , He Yun , Li Xinfa
Published: April 2021

Cross-project defect prediction (CPDP), training a machine learning model by using training data from other projects, has attracted much attention in recent years. This approach provides a feasible way for small-scale or new developed project with insufficient training data to carry out defect prediction. This paper focus on the bottleneck issue of CPDP, poor accuracy, and propose a deep learning model integration-based approach (MTrADL) for CPDP. This paper consists of two main phases. First, the similarity between target project and source projects is measured by the modified maximum mean discrepancy (MMD) and the top K source projects with high similarity to the target project are selected as training data. Second, for the selected training data, this paper use convolutional neural network (CNN) to build the defect predictor. Each selected training data corresponds to one CNN predictor. Then, multiple predictors are integrated to get the final prediction result. To examine the performance of the proposed approach, this paper conduct experiments on 41 datasets of PROMISE and compare our approach with three state-of-the-art baseline approaches: a training data selection model (TDS), a two-stage transfer learning model (TPTL), and the multi-source transfer learning model (MTrA). The experimental results show that the average F1-score of our approach is 0.76. Across the 41 datasets, on average, MTrADL respectively improves these baseline models by 39.8%, 28.50%, and 10% in terms of F1-score.
Research on Compound Control Strategy of Dynamic Voltage Restorer
Authors: Guo Zhicheng
Published: April 2021

Dynamic voltage restorer (DVR) is an economical and effective device to suppress the voltage drop of the power grid. This paper establishes the equivalent circuit and mathematical model of the DVR. Aiming at the shortcomings of feedforward control and feedback control, a composite control strategy is adopted, feedforward control is introduced on the basis of feedback control, and the load adaptability and stability of composite control Perform analysis. Finally, MATLAB is used for simulation verification, and the results show that the compound control can meet the requirements of the DVR control system.
Assessment of vehicle comprehensive maintenance capability based on RBF neural network
Authors: Huang Dashan , Hu Yiming , jiang Wentao
Published: April 2021

To solve the problems of experience-based and subjective-based methods of capability assessment on vehicle maintenance, a RBF neural network model is established, which takes the 7 key factors of vehicle maintenance capability as input, and takes the comprehensive maintenance capability as output. The self-organization learning method and least-squares method are used to determine the weight parameters of RBF neural network, based on which the comprehensive maintenance capability method of vehicle is designed. Simulation results show that the final error of the trained RBF neural network is 0.0073, and the percentage errors of neural network calculated based on test samples are less than 5%, which indicates that the established RBF neural network could assess the comprehensive maintenance capability method of vehicle effectively, which means the neural network is more practical.
A competitive strategy of ball snatching for soccer robots
Authors: Liao Liefa , Lu Weiqing
Published: April 2021

During the movement of the soccer robot, the soccer robot is in a complex environment of real-time confrontation, which requires the robot to have a higher ability to cope with the real-time movement process. It is necessary to make reasonable countermeasures for each critical moment, such as the process of multi-robot grabbing. Many strategy studies only focus on the path planning of the single-robot ball control process, without considering the process of multi-robot competition, leading to the lack of some key steps in the entire motion process of the soccer robot, loss of integrity, and neglect of real-time confrontation. It is proposed to use WTA (Winner Take All) competition model to effectively solve the multirobot competition problem. The model is described by an ordinary differential equation. This paper verifies the correctness of the theory through simulation experiments, and also verifies the scientificity and practicality of the proposed theory. Laid the foundation for future practice in other scientific fields.
Video Static Foreground Detection Method for Desktop Robotic Arm
Authors: Wu Jianxin , Dai Liyun , Liu Zhiming
Published: April 2021

Although there are many efficient methods to detect the foreground from video frames, these methods are not completely applicable to the application scenario of desktop robotic arm. This paper presents a video static foreground detection method suitable for the desktop robotic arm application scenario. In our method, an auxiliary board is used to decrease false detection caused by camera-shake and work area movement, and to effectively eliminate non-target foreground interference such as human hands. In addition, with the auxiliary board we can also accurately calculate the 2-dimensional position and posture of the foreground. This method is general applicable to most desktop robotic arm application scenarios. Furthermore, compared with the traditional foreground detection method, this paper presents the 3-frames threshold method to solve the problem of multi-texture background environment appears many noise. What’s more, for the problem that it is difficult to classify when the foreground colors are similar to the background colors, this paper presents the difference degree to describe pixels.
Intelligent Vehicle Navigation System Based on Visual Detection and Positioning
Authors: Zhao Yurong , Lmg Yao , Xia Peng
Published: April 2021

This design is a set of intelligent vehicle navigation system which relies on visual detection and positioning. The image is processed and the coordinates of beacon and car body are extracted by the camera hanging above. The coordinate information is transmitted to the intelligent vehicle and fused with the intelligent vehicle data to determine its own environment and running state. The system integrates image processing, wireless communication and intelligent path planning to realize the task of accurate recognition and automatic tracing.
The prospect of using natural psychobitics in dairy products to stabilize the diet
Authors: Agarkova Y , Fedotova O , Chilikin A
Published: April 2021

The spread of coronavirus infection has caused a disturbance in the structure of the diet, including the priority consumption of convenience foods and fast food. It is known, that inappropriate nutrition contributes both to the disruption of metabolic processes in the body and creates the prerequisites for the aggravation of nervous disorders. The development of functional products based on synbiotics, the components of which ensure the normalization of the intestinal microbiome composition, can become a promising direction for the prevention of malnutrition. The basis for developments in this area is a review of research data confirming the importance of the human intestinal microflora in the regulation of vital functions and psychosomatic reactions of the body, in particular, mood and behavior. The prospect of using fermented milk products with pro- and prebiotic microorganisms and preparations based on them instead of chemical antidepressants is shown. The mechanism of action of psychobiotics, consisting in the formation of most of the nervous and immune systems due to microorganisms of targeted action and dietary fibers in food, in particular dairy, has been analyzed.
The formation of dairy cattle intrabreed type: Macropopulation aspects
Authors: Eremina I Yu , Gerasimova L A , Kuklina A I
Published: April 2021

The long-term changes in the phylogenetic population characteristics of nine herds of red-and-white dairy cattle of Krasnoyarskii Krai (Russia) in the process of breed formation were estimated. Immunogenetic indicators (erythrocyte antigens) were used. The genetic structure of the population was investigated according to the frequencies of antigenic factors, the frequencies of the phenogroups. The genesis of the formed breed features is outlined by the indicators of the genetic similarity between the crossed breeds and the maternal subpopulations of individual lines. To study polymorphism, the data of the breeding records of the ARM “Selax Molochnyi”, the OOO RC “PLINOR” and hemolytic tests.
The usage of Slow Released Fertilizer over bio-organic natural fertilizers on fruit stone rootstock
Authors: Bamatov I M , Bamatov D M , Arsanov M M
Published: April 2021

This scientific research work demonstrates the influences and the effect of applying Slow Released Fertilizer (SRF) based on the biodegradable polymer modification (even distribution of bio-polymer and fertilizer) of Azafoska NPK (16:16:16), bio-organic natural fertilizers such as Baikal EM 1 and NPK Liquid Consortia on stone fruit rootstock nursery (Kuban – 86) as plant nutrition. The results based on the analyzed data (plant and root development) that were received from fertigation system through drip lane irrigation (concentration 0,005%,) and foliar feeding (concentration 0,005%) procedures on stone fruit rootstock plants within studying fertilizers.
Temporospatial Analysis of methane trend in China over the last decade — Estimation of Anthropogenic Methane Emission and Contributions from Different Anthropogenic Sources
Authors: Chen Zhi-yuan
Published: April 2021

China’s atmospheric methane burden has been on the rise in the past decades. However, the relationship between trends and major anthropogenic sources of methane emissions in China has not been well understood. The temporal and spatial distribution of methane concentration in China is investigated using ten years of methane column data (2010-2019) from the Greenhouse Gases Observing Satellite (GOSAT). High-value regions of methane enhancement are found in the northern provinces of China (northeast Xinjiang, northwest Gansu, inner Mongolia, and the border region of Heilongjiang and Jilin). Based on 2010-2018 China Official Statistical Yearbook data and the latest research about methane emission factors, the major anthropogenic methane emissions in China through 2010-2017 are estimated. With Principal Component Analysis (PCA) method on data of estimated anthropogenic emissions and deseasonalized year-averaged methane concentrations in China, it is found that the top three anthropogenic sources with the greatest impact on methane emissions are coal mining, sanitary landfill, and domestic animal rumination. They could have a potential connection with methane enhancement trend high value regions.
Evaluation of rural ecotourism resources based on the AHP Method in Shanghai
Authors: Xiaoli Chen
Published: April 2021

In order to develop rural eco-tourism better, it is very important to establish a suitable evaluation index system of tourism resources. This study constructs an evaluation indicator system of rural ecotourism resources in Shanghai from three aspects: Resource values, ecological environment and development conditions, which includes 18 indexes. Using AHP to determine the weight, in the comprehensive level of evaluation, Resource values (B1)> Ecological environment(B2) > Development conditions(B3). Among the most important indicators are: Recreational value (C1), Pollution control capability (C8), Farming experience value (C7), Environmental hygiene (C9), Convenience of transportation (C14), Ecological value (C4) and Life experience value (C6). By using this evaluation model to grade the rural ecotourism resources in Shanghai through questionnaire survey, the result is that the rural ecotourism resources in Shanghai are quite good. With the development of the construction of the Beautiful Country, the value of rural eco-tourism resources in Shanghai has been continuously explored and the eco-environmental quality is assessed higher, which provides an important guarantee for the development of rural eco-tourism in Shanghai. In addition, cultural values and health value need to be tapped in depth, and efforts should be made to increase the publicity and communication among local residents in rural tourist destinations. While optimizing the construction of tourism facilities, we must constantly improve the level of service management, so as to improve the service quality of rural ecotourism.
Simulation of Passive Earth Pressure against Retaining Wall Considering Wall Movement Mode
Authors: Kejia Wu , Yu Pengqiang , Liu Yang
Published: April 2021

This paper investigated the effect of wall movements on passive pressure in sands by developing numerical simulation based on finite difference method for plane strain condition. A series of simulations was conducted under different wall movement modes (i.e. translation, rotation about a point below the wall, RB, and rotation about a point above the wall, RT). It is concluded that the distribution of passive earth pressure, magnitude and points of application are much affected by the wall movement modes. In addition, the effect of soil-wall friction angle on passive pressure is investigated. Simulation results indicate: the mode of wall movement has great influence on the passive earth pressure, and the heights of the application point in these three modes sort as: RB > T > RT.
The Key Technology of Multi-span Steel Plate Bridge Incremental Launching Construction
Authors: Zhao Jie , Kang Lingjie , Zhang Hangyuan
Published: April 2021

Incremental launching erection is a widely construction technology, which has the advantages of low cost, low environmental requirements, simple equipment. In this project, the multi-point support rolling device is used instead of the linear or planar slide support system, and the short nose bridge-fishing method is further used to realize the smooth pier of the beam body. According to the site, a simple and easy deviation correction device is designed. According to the simulation results of deflection calculation and field deflection measurement data, the construction monitoring of the process of incremental launching was carried out, and the incremental launching construction was successfully completed.
Vegetarian Diet: Why Is It Beneficial?
Authors: Sun Wanlin
Published: April 2021

A vegetarian diet is a type of diet that excludes meats, or seafoods, or sometimes even eggs and dairy. People choose to have a plant-based diet like that are called vegetarians, and some of them do so for the purpose of preventing and treating disease. Because of the higher intake of vegetables, grains, fruit, nuts and fiber from a vegetarian diet and lower intake of saturated fat and cholesterol, a vegetarian diet has health benefits in lowering the risks of getting chronic disease like obesity, cardiovascular disease, and maybe even cancer. However, some people believe that eating a plant-based diet might cause an increased risk of deficiency of certain nutrients. The evidence available suggests that through carefully planning their diets and eating fortified food or supplement regularly, vegeterians can certainly be able to meet their nutrition needs. In order to give people who are considering to become a vegetarian some information about the health benefits and suggestions of having a plant-based diet, in this article, we carefully describe and analyze the relationships between vegetarian diets and BMI, obesity, and cardiovascular disease, and then the relationship between vegetarian diets and mortality from the commonest causes of death and cancer.
TBM cutter wear prediction in inclined shaft project based on tunnelling parameters
Authors: Cheng Jinguo , Jiang Hua , Jiang Yusheng , Zheng Yaofu
Published: April 2021

Cutter wear is one of the important factors affecting the safety and efficiency of shield or TBM tunnelling. Based on the inclined shaft tunnelling project with long distance, large slope and constant excavation in Bulianta coal mine, regression analysis is applied to investigate the relationship between cutter wear and tunnelling parameters such as cutterhead rotation velocity, cutterhead torque, advance velocity, total thrust and penetration, and thus the prediction model of cutter wear is established. The results indicate that cutter wear is significantly correlated with each tunnelling parameter, and that the regression model expressed by cutterhead torque, total thrust and penetration can account for 97.8 percent of the cutter wear issue induced by potential influencing factors. The model has good effect on the prediction and could provide certain guidance and reference for the cutter wear problem in similar geological condition.
Experimental study on stress-strain-strength behavior of cemented tailings backfill with different curing age
Authors: Wang Yongyan , Cui Lizhuang
Published: April 2021

In order to understand the changes in the properties of the cemented tailings backfill (CTB) during the curing process. In this paper, the CTB samples with a cement-sand ratio of 1:6 were prepared and cured for 3, 5, 7, 14, 21, 28, 60, 140 and 200 days respectively, and then a series of uniaxial compression tests were carried out. Then the stress-strain relationship, compressive properties, elastic modulus, etc. of the CTB with different curing age were analyzed. Results indicate that when the samples are cured at a short curing age that is shorter than 7 days, CTB mainly shows plasticity, while as the age increases, the samples’ deformation mainly experienced four stages. And as the age increases, the unconfined compressive strength (UCS) and the modulus of elasticity keep increasing, but the growth rate gradually slows down.
Advances in Research on Production of 1, 3-PD by immobilized technology
Authors: Gao Yifeng , Wang Yanxia , Ma Chunling , Paul Chris
Published: April 2021

1,3-propanediol (abbreviated as 1,3-PD) is an important chemical raw material, which is widely used in printing and dyeing, coatings, inks, pharmaceuticals, antifreeze, lubricants, etc. Used as a monomer to synthesize new polyester material PTT (polytrimethylene terephthalate) has attracted wide attention The first paragraph after a heading is not indented (Bodytext style). The production methods of 1,3-PD mainly include chemical synthesis and microbial fermentation. Due to the shortage of petrochemical resources, the production of 1,3-PD by microbial fermentation has become a hotspot at home and abroad. Among them, the application of immobilization technology and the selection of immobilized carrier materials have a good improvement in the efficiency of 1,3-PD produced by fermentation.
Study on Anti-Tumor Network Mechanism of Miao National Herbs Periploca Forrestii
Authors: Qin Ping , Fang Rongze , Huang Xulong , Zhang Mei , Ding Qin , Wang Xiangpei , Wu Hongmei
Published: April 2021

In this study, tumor disease targets and periploca forrestii(PF) associated targets were determined through the use of databases for the identification of putative therapeutic targets and then combined. After the interaction network of therapeutic targets against tumor was established, and the core targets against tumor were determined by degree analysis. For all putative therapeutic targets, analyses of biological function were performed to optimize the biological processes and key signaling pathways of PF in tumor treatment. The top 5 therapeutic targets were identified, including AKT1, TP53, PTGS2, AR and AHR. The biological processes associated with the antitumor activity of PF were mainly associated with positive regulation of cell proliferation, trypsis response, transcription of DNA templates andpositive regulation of transcription from RNA polymerase II promote regulation; and signaling pathways associated with the antitumor activity of PF are mainly associated with influenza A signaling pathway, PI3K-Akt signaling pathway, and HTLV-I infection signaling pathway.
Application and Evaluation of Removing Nutrients in Wastewater via AAO Process in Tianjin, China
Authors: Sun Weidai
Published: April 2021

Anaerobic/Anoxic/Oxic (AAO) process is one of the effective measures to remove nutrients from the influents for most wastewater treatment plants in China, and thus, assessing the efficiency of AAO process is of great significance. This study used wastewater samples from Tianjin province in China to make evaluations of this technology. Componential analysis shows that total nitrogen (TN), ammonia nitrogen (NH3-N), and total phosphorous (TP) are crucial in determining the concentrations of nitrogen and phosphorous in Tianjin wastewater. The wastewater in Tianjin is mainly derived from domestic wastewater, and followed by industrial one. Decontamination efficiency analyses show that AAO process can remove 79% of TN and 96% TP in the wastewater, which are high because it is manipulated to its maximum extent by the plant. Moreover, the concentrations of TN and TP in the effluents are 8mg/L and 0.12mg/L, conforming to the national standards in China. AAO process can also degrade BOD (Biochemical Oxygen Demand) from the wastewater, which is also a major pollutant in wastewater. The determining factor of the extensive application of AAO process in Tianjin is that it requires less money compared to its counterparts. Therefore, if similar wastewater sources are happening in other cities in China, AAO technology could be widely used there since it is effective both environmentally and economically.
Analysis of Shale Oil Productivity Difference in an 83 and Xi 233 Well Blocks in Ordos Basin
Authors: Zhao Zhenfeng , Xiao Yang , Du Xianfei , Ma Bing , Guo Chao , Ju Yingjun , Wang Jiahao , Chen Mingxin
Published: April 2021

The An 83 well block and the Xi 233 well block are both shale oil blocks in the Changqing Oilfield. The main producing layer is the Chang 7 reservoir, with strong heterogeneity and no obvious oil-water interface. Both are typical low porosity, Low permeability-extra low permeability reservoirs. The An 83 block and the Xi 233 block adopt the same volume modification method for production, but the output data of the two are quite different. The output of the Xi 233 block is significantly better than the An 83 block, and the water content is also lower. Finding out the reasons for the production differences and proposing a targeted shale oil reservoir volume modification model is the key to increasing the production of Block An 83. On the basis of the analysis of production influencing factors, it combines geological factors such as gamma, interval transit time, porosity, saturation, etc., geomechanical factors such as Young’s modulus, Poisson’s ratio, horizontal stress, and Engineering factors such as displacement, liquid volume, sand ratio, etc. Using Pearson and Spearman correlation analysis methods to clarify the main controlling factors of output and capacity, on this basis, complete the research on the output difference of the two blocks. The final results show that the physical properties of the two blocks are the same, the water content is quite different, and the geomechanical basis is different. It is necessary to formulate targeted reservoir transformation and production methods based on the pore throat structure, relative permeability and geomechanical distribution characteristics of Block An 83.
Analysis of influencing factors of stimulated reservoir volume (SRV) and zipper fracturing simulation in shale oil reservoirs of Hu326 Well area
Authors: Zhang Kuangsheng , Xiao Yang , Liu Hanbin , Tang Meirong , Zhang Yanjun , Wang Jianhui , Zhang Liying , Chen Mingxin
Published: April 2021

Horizontal Well SRV of intensive stage and high–intensity for shale oil reservoirs of Hu326, which are different beddings and develop natural fractures locally, is conducive to the formation of complex fracture network with the intersection of main fractures, natural fractures, bedding fractures and other secondary fractures. At present, although there are systematic theories and methods for the study on the extension of hydraulic fracture after intersecting natural fractures and bedding planes, there is no quantitative research on specific parameters, and the research results are not applicable to actual exploitation. Based on the characteristics of shale oil reservoirs and combined with the theory of formation strength with weak surface, this article discusses the formation mechanism of fracture network of jimusar shale oil reservoir and improves the extension law of hydraulic fractures after intersecting with natural fractures and bedding planes. And taking the jimusar shale oil reservoir as the object, the extension law of hydraulic fracture is analysed and the geomechanical influencing factors and engineering control parameters of SRV are determined. The research results provide theoretical basis and parameter guidance for SRV of jimusar shale oil reservoir.
A Seepage mathematical model for fractured wells of coalbed methane reservoirs and the corresponding pressure response feature
Authors: Liu Chunchun , Zhang Cong , Xu Yanmei , Cui Xinrui , Huang Weigang , He Aigu , Wang Xiangyan , Liu Yishan , Wang Jigang
Published: April 2021

Coalbed fracturing is one of the important engineering and technical means of coalbed methane stimulation. To establish the seepage model of coalbed gas fracturing well is the key scientific problem to effectively evaluate the fracturing effect. Therefore, based on the micro pore structure of coalbed methane, this paper constructs the physical model of three porosity and two permeability, the mathematical model of seepage and the mathematical model of bottom hole pressure response, and analyzes the key factors affecting the dynamic response characteristics of pressure. The results show that diffusion coefficient, channeling coefficient, reservoir volume ratio and conductivity have different effects on the bottom hole pressure of the vertical well of three hole and two permeability fracturing. The results of this paper have certain guiding significance for the drainage and production capacity prediction of coalbed methane.
Analysis on Deep-Well Apparent Resistivity Measurement at Dabaishe Seismic Station
Authors: Ning Yaling , Lv Haijie , Xie Tao , Zhang Guoling
Published: April 2021

We interpret the horizontally layered homogeneous medium model of Dabaishe station according to the electric sounding data. The measurement array at the station is the fixed Schlumberger arrays. The deep-well measurement has two set of arrays. One is horizontally placed under 100 meters, and the other is vertically arranged. Under the layered model, we analyze the sensitivity coefficient variations of deep-well apparent resistivity measurement versus the different electrode depth and the spacing of current electrodes. The results show that the horizontal deep-well measurement has well ability on inhibiting disturbances from surface. However, its current electrodes spacing is relatively short, only 60 meters, thus the measurement data cannot effectively reflect the resistivity variations from deep mediums. Electrodes of the vertical deep-well measurement array locate within the layer where underground water level changes. Therefore, its measurement data suffers great affection from the water level variations and it is very difficult to distinguish the resistivity variations of deep mediums from the data. In order to better detect information associated with earthquakes, the spacing of horizontal arrays of AB/2 should be set as 250-350m, and the bury depth exceeds 150m. A Horizontal array along NS direction is also recommended.
On Developing Sightseeing Agriculture in Poyang Lake Eco-Economic Zone
Authors: He Jianbo , Wang Zhen
Published: April 2021

Sightseeing agriculture is no doubt the best choice that can preferably overcome the scientific development mode featured in “population-resources-environment” contradiction and gradually realize the agricultural sustainable development, which will become the strong support for the realization of the strategic target of Poyang Lake Eco-economic Zone. Poyang Lake region should seize the rare opportunity that our country is establishing the Poyang Lake Eco-economic Zone and developing the low-carbon economy in force. Meanwhile, it also should make full use of its advantages in resources to combine spatial layout and other industry development for the preferential policies and measures in a more active way and innovate and explore effective ways to promote ecological agriculture development in Poyang Lake.
Ancient and Famous Trees Risk Assessment in Changting Based with Multi-Level and Multi-Dimensional Indicator System
Authors: Lan Yuxiang , Lin Yingfang , Liu Fan , Chen Han , Li Junyi , Chen Ye , Dong Jianwen
Published: April 2021

According to the results of the second census of ancient and famous trees and field investigation in Changting County, Through VTA method and AHP method, the multi-level and multi-dimensional evaluation index system of risk degree of ancient and famous trees was constructed. The results show that: The higher weight of growth factors are the main trunk diseases and insect pests, abnormal cracks in the main trunk, hollow trunk, branch diseases and insect pests, abnormal cracks in the branches, dangerous dead branches, root diseases and insect pests, leaf diseases and insect pests. The growth space of tree roots is the most important factor in environmental factors. Among the anthropogenic factors, the most important ones are the artificial dumping of pollutants and the lack of professional management. Hazard index of Taxus chinensis var. mairei is maximum, followed by Schima superba, Cinnamomum camphora and Liquidambar formosana. The most dangerous indicators are the professional level of managers, lack of professional management, V-angle trunk and plant parasitism. Through the risk assessment, this paper seeks for the key points of management and protection of ancient and famous trees, aims at solving problems and reducing the risk of ancient and famous trees, so as to promote the management and protection of ancient and famous trees.
A Comparison Study on Species Diversity of Woody Plants in Mountain Parks and Riverside Parks of Fuzhou City
Authors: Lan Yuxiang , Liu Fan , Lin Yingfang , Chen Han , Li Junyi , Chen Ye , Dong Jianwen
Published: April 2021

In order to know the situation of plant diversity of mountain parks and riverside parks in Fuzhou city, the woody plants of different mountain parks and riverside parks in Fuzhou city were studied in this paper. The typical sampling method was used in this survey. Then the composition of plant community, the origination of plants and the species diversity index were analyzed to explore the differences of plant diversity between different types of parks. The research was aimed to provide basic data for the biodiversity conservation in Fuzhou city. The results showed that the species of woody plants of mountain parks and riverside parks was abundant, the similarity of the composition of plant community is extremely high, the number of woody plant species and the application proportion of native tree species of mountain parks was higher than that of riverside parks. The abundance index and the Shannon-Wiener index of tree layer of mountain parks was higher than that of riverside parks. The abundance index and the Shannon-Wiener index of shrub layer of mountain parks was lower than that of riverside parks.
Research and application of sports health system based on Block Chain Technology
Authors: Wang Minghao , Wu Shaofei
Published: April 2021

With the continuous development of block chain technology, people realize that this trusted underlying mechanism has important practical significance as the foundation of various activities. This paper combines block chain technology with sports health system, and improves it based on Ethereum system. In the traditional block chain system, the time to generate blocks is too slow and the centralization problem is caused by the large asset gap. We propose the concept of surplus advantage of account to determine which account has more power to generate the new block in the block chain. In this way, users of the system can maintain the system, which can further ensure the security of the whole system and the authenticity of data information, and greatly improve the efficiency of the whole system. And we write smart contracts to make sure that things always follow the agreed rules. This will also make the whole sports health system has better security and credibility. With this block chain technology as the guarantee of the underlying technology, the sports health system can be more accurate, the relevant departments for the implementation and supervision of sports health subsidies, but also ensure the authenticity and security of the data information.
Research on the Intelligent Early Warning System for Metal Mine Mining Safety
Authors: Lin You
Published: April 2021

In order to reduce mine safety accidents and realize safe production, the mine safety early warning system was developed by studying the causes of accidents, using Python as the development language, using Web network technology and database technology. The paper uses the deployment of high-precision sensors and the development of a distributed management information system to realize the real-time collection and online monitoring of the monitoring index data of the metal mine; based on the accurately obtained key indicators such as the deformation displacement, the reservoir water level, and the depth of the infiltration line, it is safe for the metal mine Multi-level early warning and forecasting of risk conditions are implemented. The actual operation of the system shows that the integrated management system can provide decision-making basis for regional safety management.
Land use type dominates soil microbial element limitations in a subtropical plateau, China
Authors: Ding Leilei , Wang Puchang , Zhang Yu , Zhang Yujun , Liu Jiajia , Zhao Lili
Published: April 2021

Land use type, vegetation type (artificial or natural) and microbes play a key role in flux of soil matter and energy in subtropical ecosystems. However, microbial element limitations in these ecosystems have been largely unexplored. Here, microbial element limitations under four representative land uses grouped into two vegetation types (artificial or natural) were characterized using enzymatic vector analysis, their drivers were deciphered using redundancy analysis in a subtropical region, Southwestern China. Enzymatic vector analysis showed that soil microbes suffered from carbon (C) & nitrogen (N) limitations in cropland and forestland related to artificial vegetation, but C, N & phosphorus (P) limitations in grassland and shrub land related to natural vegetation. Two-way ANOVA showed land use type and vegetation type (artificial/natural) were the major forces driving C and NP limitations. Redundancy analysis identified that soil total N was the major factor affecting soil microbial C limitation, soil total P was the major factor affecting soil microbial NP limitations. This study implied that conversion of natural vegetation to artificial vegetation would shift microbial element limitations from C, N & P limitation to C & N limitation, and exacerbate N limitation.
The Research on the Variation of Chlorophyll-a in Bohai Sea Based on MODIS Data
Authors: Cheng Yu , Zhang Shengjia
Published: April 2021

Chlorophyll-a (Chl-a) is an important parameter to characterize the degree of eutrophication in water. It has become an important index for water quality evaluation and is also one of the important water quality parameters that can be directly retrieved by remote sensing method. In this study, MODIS L1B data and OC3M Chl-a inversion model are used to invert Chl-a in the Bohai Sea from 2014 to 2019, the spatial and temporal variations of Chl-a in the Bohai Sea are investigated, and the influencing factors are analyzed. Results demonstrate that (1) the variations of Chl-a in different bays of the Bohai Sea have different trends. The Bohai bay and Laizhou bay show an upward trend, while the Liaodong bay and the central Bohai Sea show a downward trend. The concentration of Chl-a is related to the distance from the coast. The closer to the coast, the higher the concentration of Chl-a. (2) From 2014 to 2019, the overall concentration of Chl-a in Bohai Sea show a downward trend, the seasonal variation trend is relatively small, and the variation of Chl-a in spring is larger than that in summer and autumn. (3) River runoff and sea surface temperature will affect the variation of Chl-a, so the conc.
Innovative Research on Administrative Supervision in Colleges and Universities in the Information Age
Authors: Pan Yihui , Pan Yajing , Tu Keqin
Published: April 2021

The emergence of educational informatization has brought new development opportunities and challenges to the supervision work in Colleges and universities. The informatization construction of relevant supervision work has become an inevitable development trend. Therefore, in order to improve the teaching quality and promote the development of colleges and universities, it is necessary to focus on the analysis of its supervision work. Based on this, the article will start from the supervision work informatization, and put forward the corresponding supervision information innovation suggestions.
Numerical Simulation of Cooling Effect of Different Spray Water Temperature on Coal Face based on CFD
Authors: Zhang Cong , Zhang Ningning , Sun Xiangke
Published: April 2021

In order to effectively restrain the adverse effects of high temperature environment on the working area of fully mechanized coal mining face, a mathematical model describing the interaction between droplets and air flow was established and the accuracy of the model was verified. Finally, under the same ventilation conditions, the temperature distribution of the nozzle under different temperatures was studied in detail. The results show that the temperature distribution in different areas along the roadway is basically the same when the spray scheme is applied at different temperatures, and all of them decrease first and then increase. In all spray schemes, the best cooling effect is achieved by using K2.0 nozzle and spray water temperature of 278k.
Application and Research of New 3D Simulated Geological Structure in Training and Testing of Track and Field Athletes
Authors: Lu Changchun
Published: April 2021

Aiming at the modeling problem of numerical simulation under complex geomorphology and geological structure conditions, the paper proposes a modeling idea from part to the whole based on the 3D platform. It uses Brick and Tetrahedron units to generate 3D geological body models under complex geomorphic conditions through programming. The paper uses the interface to simulate the fault plane and combines with the trend plane to construct the strata in the fault’s upper and lower walls. It is believed that through mathematical analysis combined with computer programming, geological body modeling under complex geomorphology and geological structure conditions can be realized directly in the 3D platform. At the same time, the paper analyzes the relationship between track and field athletes’ physical training and the local geological environment.
Research on Sports System Based on The Concept of Green Environmental Protection
Authors: Meng Yalan
Published: April 2021

The thesis uses literature and questionnaire research methods to discuss a series of environmental problems caused by outdoor sports and the impact of environmental pollution on sports. Simultaneously, based on the concept of green environmental protection, corresponding environmental protection countermeasures are proposed to achieve a dynamic balance between sports and the natural environment, that is, to achieve veritable green sports.
Assessment of the standardized training residency Exposure Level and Concentration of the Indoor Microbial Aerosols in Hospital Buildings in Winter
Authors: Xiao Zhangbo , Sun Chang , Pan Chunyan , Lu Shanshan
Published: April 2021

In order to deeply analyze the pollution situation, distribution characteristics and exposure level of microbial aerosol in different functional buildings, the concentration, particle size distribution and resident exposure level of bacterial aerosol in different functional places of hospitals were studied in this paper. The results show that: 1) There are harmful environmental exposure and environmental health risks in the standardized training of residents in China, which need to be paid enough attention to improve their occupational environment. 2) the concentration level of indoor bacterial aerosol in various places of hospital in winter is outpatient hall > nurse station > doctor’s office > outdoor > general ward. 3) The median diameter of indoor bacterial aerosols in hospital buildings is smaller than that of outdoor ones, and there are differences in particle size distribution of indoor bacterial aerosols in different types of places. When indoor pollution sources are strong or indoor ventilation is poor, the particle size distribution characteristics of bacterial aerosols are mainly affected by indoor pollution sources.
Heterosis Analysis of Yield Characters of Waxy Maize Hybrid Jinuo 3
Authors: Qin Zongxing , Jia Xinyu , Jiang Long
Published: April 2021

TThe heterosis of high yield maize variety Jinuo3 was analysed. The results showed that Jinuo3 had significant yield increasing effect, which was 1.76% and 9.58% higher than Jingkenuo2000 and Wannuo2000, respectively. The relative heterosis of yield traits ranged from 6.57% to~68.41%, with an average of 30.73%. The mid parent heterosis ranged from 7.03% to 216.55%, with an average of 57.83%. And the heterosis index was between 107.03% and 316.55%, with an average of 157.84%. Among the traits, the heterosis of yield was the largest, with relative heterosis, mid parent heterosis and heterosis index were 68.41%, 216.55% and 316.55%, respectively. The other characters ranked from high to low were yield per plant, ear height, and number of grains per row, ear length, plant height, and axis diameter, and ear diameter, row per ear, 100 grain weight, seed yield and threshing water content.