bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbial Simulation Experiment on Enhancing Coalbed Methane Production
Authors: Hao Chen , Yong Qin , Meng Geng , Zhenhong Chen , Yanpeng Chen , Wenguang Tian 
Published: March 2021

Abstract
Coalbed Methane(CBM) production enhancement for single wells is a big problem to CBM industrialization. Low production is due to insufficient gas generation by thermogenic. Luckily, Biogenic gas was found in many areas and its supply is assumed to improve coalbed methane production. Therefore, microbial simulation experiment will demonstrate the effectiveness of the assumption. From microbial simulation experiment on different coal ranks, it is found that microbes can use coals to produce biogas under laboratory conditions. With different temperatures for different experiments, it turns out that the gas production at 35 °C is greater than that at 15 °C, indicating that 35 °C is more suitable for microbes to produce gas. According to quantitative experiments, adding exogenous nutrients or exogenous bacteria can improve CBM production. Moreover, the production enhancement ratio can reach up to 115% under the condition of adding exogenous bacterial species, while the ratio for adding nutrients can be up to 144%.
Construction of wind turbine performance model based on SCADA data
Authors: Wu Sha , Lu Sheng , Xie Xin , Deng Shaoping , Jiang Zixiao , Wang Jian 
Published: March 2021

Abstract
Compared with traditional wind turbine performance evaluation methods such as operating power curve fitting, the wind turbine performance model construction method using SCADA data on machine learning has gradually attracted attention in the industry in recent years. In this technical route, the choice of input SCADA data type will directly affect the accuracy of the wind turbine performance model construction. However, in the past, selecting key SCADA data types in the performance evaluation of wind turbines were mostly subjective judgments or correlation analyses. This paper proposed a key SCADA data type selection method based on mutual information calculation and a wind turbine performance model construction method based on deep neural network training. The selected key SCADA data types based on mutual information were applied to the deep neural network to construct the wind turbine performance model, and the actual SCADA operation data of the wind farm was applied to test the model. The results show that the model construction method’s accuracy and generalizability using the above technical route can satisfy the industry demand in the same wind farm with the same wind turbine type.
Dynamic Thinking on the Construction and Development of Hydrogen Stations: Research on Influencing Factors Based on Factor Analysis Method
Authors: Kong Chuiying , Men Feng , Sun Tian 
Published: March 2021

Abstract
This article studies the influencing factors of hydrogen refueling station construction from the macro, meso, and micro levels, based on the first-hand questionnaire data and using factor analysis to analyze influencing factors. It is concluded that industry development factors have the greatest impact on the construction of hydrogen refueling stations, and on this basis, the influence weights of various specific factors are calculated. On the basis of the above analysis, relevant suggestions are put forward for the construction of hydrogen refueling stations in my country.
Demand Analysis of Wind Turbine System Based on MBSE
Authors: Jing Ben , Hao Wang , Yang Xu 
Published: March 2021

Abstract
Because the wind turbine system is complex and involves a wide range of disciplines, the model-based system engineering (MBSE) method is used to effectively process demand analysis, system function analysis, and system logic architecture design synthesis and verification in a graphical manner, forming a standard Sequential design process reduces costs and improves design efficiency. Requirement analysis is the key to system design and the key to the forward design process of MBSE system architecture model. It is of great significance to the entire system and subsequent development. This article mainly describes the application of MBSE in wind turbine system demand analysis.
Research on the market-oriented trading of renewable energy power based on BlockChain technology under the new quota system
Authors: Li Jiangtao , Li Guomin , Zhao Pengfei 
Published: March 2021

Abstract
With the steady progress of the energy transition, the proportion of renewable energy in my country has continued to increase, and the market-oriented trading of renewable energy power has become an important link in promoting the construction of Chinese low-carbon clean energy system.Under the background of the new quota system policy, through the analysis of Chinese renewable energy distribution and market-oriented transaction needs and characteristics,research the application method of BlockChain technology in renewable energy power transactions,from the three aspects of transaction system architecture, BlockChain support technology selection, and transaction process management, an intelligent transaction model suitable for Chinese renewable energy power consumption is proposed, building an automatic matching and automatic settlement method for renewable energy power transactions based on BlockChain technology, optimizing the transaction process, and reduce transaction management costs, providing a certain reference for the development of Chinese renewable energy power market trading.
Research on the Modeling Method of Microwave Power Module Cascade Converter
Authors: Guodong Zhang 
Published: March 2021

Abstract
It is difficult to obtain the accurate small signal modeling by traditional modeling method especially for the complex converter. System identification is a new method to construct the high voltage cascade converter small signal modeling. The first-stage and the second-stage can be analyzed on the whole. The improved least-square parameter estimation is used to analyze the sampling data of input and output. Furthermore, the system parameter and accurate system modeling can be acquired. Comparing the step response of system model with the Pspice stimulating result, the validity of the method is verified.
Effects of Igneous Intrusion on Low-rank Coalbed Methane Reservoir Formation in Fuxin Basin, China
Authors: Zhenhong Chen , Zhaoping Meng , Hao Chen 
Published: March 2021

Abstract
Researches of igneous intrusion in Fuxin basin on more complex formation mechanism of low-rank coalbed methane(CBM)reservoir are not only the focus and critical problem of basic geology, but also contribute to improvement of the exploration effectiveness of the same type of reservoirs, serving as one of rare achievement examples of low-rank CBM development. This paper presents a comprehensive research of the reservoir characteristics of the Wangying-Liujia CBM formation, such as the intense control action of the dolerite dike invasion so as to further confirm the effects of igneous intrusion on low rank CBM reservoir formation. The result shows that the dolerite dike invasion not only facilitates large hydrocarbon regeneration, but also obviously improves the Ro of the thick bituminite at the bottom of Fuxin formation. It also greatly improves the coal reservoir property, which helps the groundwater double replenishment along the coal seams outcrop and dolerite dike and the closed pressure water condition formation. Moreover, the research shows that there exists much free gas clearly for the closed fault-preventing gas diffusion. So the cokeite growing area is the most advantageous where the high production CBM wells will distribute in the girdle band along the dike. In summary, concerning low-rank CBM exploration, this paper proposes gas evaluation by using CBM and conventional means.
Fourth order sequence and its distribution characteristics determined by well - seismic combination in Wuerxun depression
Authors: Gao Geng , Zhou Yue 
Published: March 2021

Abstract
Wuerxun depression is a secondary structural unit of Beier lake depression in Hailaer basin. It is located in the middle of the basin and has a high degree of exploration, with the gradual deepening of exploration degree, the previous studies on sequence division and sedimentary facies cannot meet the requirements of high-precision exploration. In this paper, the Nantun Formation is divided into three third-order sequences and eight fourth-order sequences through the study of high-resolution sequence stratigraphy in Wuerxun depression, in the study, firstly, multiple exploration wells with complete sequence development are selected in Wunan area of Wuerxun depression, because Wuerxun depression on the whole is characterized by complex structural features, multiple provenances, short provenances and rapid phase transformation, so we should try our best to make the distribution of preferred wells in all the fourth order structural zones, in order to facilitate the next step of stratigraphic correlation between the structural zones and the whole region. After that, the original sequence of all the selected wells is further subdivided according to the rock and electrical characteristics of single well, and a set of scheme for dividing the fourth-order sequence is determined. Finally, through the tracing of seismic horizon between exploration wells and the fine comparison of well and well seismic in the development area, the traceability and comparability of the newly divided fourth-order sequence are determined, and a set of reasonable fourth-order sequence division scheme in Wuerxun depression is finally determined, which effectively guides the geological oil and gas exploration deployment and lays a solid foundation.
Artificial Floating Island Technology
Authors: Yang Hui , Zhang Ying , Zhang Jiaqi 
Published: March 2021

Abstract
This paper reviews the origin of artificial floating islands at home and abroad and introduces the principle of purifying water quality of artificial floating island, including the selection and combination of plants in floating island. The mechanism of microbial and plant combined action to remove organic matter in water is discussed one by one. The development trend of the new artificial floating island is discussed in order to provide reference for the new artificial floating island technology in the future.
The Sustainability Analysis of Land Use and Social Economy in Mountain Areas, Western Hunan Province, China
Authors: Kuang Yixiao , Peng Yu , Sun Bing , Jiang Chunqian , Sang Weiguo , Huang Yihang , Liu Xiufang , Bai Ting 
Published: March 2021

Abstract
Western Hunan is the core and key area of ecological restoration and protection in the mountain areas of southern China and the middle and upper reaches of the Yangtze River. How to make a good trade-off in land-using between ecological conservation and economic development is the primary issue for the regional sustainable development. We analyzed the spatial-temporal changes of land use and socio-economic development in this area. The results showed that: 1) The change of cropland, woodland and urban construction land from 1980 to 2018 was significant, and cropland was evolving towards the hollowing pattern, while the urban construction was expanding from the center to the periphery; 2) With the high speed of socio-economic development in recent years, rural population and the production industry proportion of each county deceased, while urban population, the manufacturing industry proportion and the service industry proportion were increasing; 3) There was a strong correlation between the area proportion of cropland, woodland and the proportion of rural population and the production industry, and the correlation decreased first and then increased with the annual economic development, while the urban construction land had a certain correlation with urban population and the manufacturing industry and the service industry, especially with the service industries. On the basis of further analysis, it was concluded that the social and economic development were the important driving factors to land use change, the capacity of ecosystem services reduced in recent years. The results could be used as the basis for the local government to make decision on the effective land protection. It was also a reference information for researchers to carry out in-depth optimization and integrated management on land resources, so as to achieve the good synergistic effect for both socio-economic development and land protection and promote the sustainable development of human society and economy.
The use of fractal theory to study the sources of soil Cd and Pb pollution in Youjiang River Basin
Authors: Huamei Zhao , Zhengli Mao 
Published: March 2021

Abstract
Fractal theory can be applied to study the complexity of spatial structures in nature, and operates by extracting the deterministic parameters driving complex processes. However, to date there has been little reported application of fractal theory to the analysis of the sources of soil heavy metal pollution. This study aimed to determine the sources of heavy metal accumulation in the shallow soil of the Youjiang River Basin. A total of 71 shallow soil samples were collected across an area of 1,000 km2 for the analysis of Cd and Pb to determine the spatial distribution of heavy metal pollution in the basin. The fractal characteristics of Cd and Pb for the eastern, central and western parts of the study area were analyzed using a content-frequency fractal model. The results showed that the content-frequency fractal distributions of Cd and Pb in the area were similar and multifractal. Linear models described the three different groupings of the sample points well with a scattering of several high points, indicating a chaotic distribution of high-content Cd and Pb areas. Two linear models similarly could describe the fractal distributions of these two elements in the eastern part of the study area, with a scattering of several high-value points, whereas although the fractal distributions of the central and western parts of the study area also showed linear distributions, the linear fit for the western part of the study area was slightly worse. The fractal distributions indicated that the spatial distributions of soil Cd and Pb show several trends, which indicates the influence of multiple geochemical processes. When combined with regional industrial and mining enterprises and high density population, the fractal Cd and Pb distributions infer that soil Cd and Pb in the area originate from the same sources, and four major geochemical process are responsible for the distribution of Pb and Cd: 1) the soil formation process; 2) modern agricultural production; 3) industrial sources and dense population; 4) aluminum resources development and utilization. Among these, exploitation and utilization of aluminum resources is the most complex, resulting in a chaotic distribution of Cd and Pb.
Experimental study on the influence of temperature on compressive strength of non-spontaneous combustion coal gangue aggregate concrete
Authors: Yao Suqin , Zha Wenhua , Yu Yue 
Published: March 2021

Abstract
In Pingxiang mining area of Jiangxi Province, a large amount of non-spontaneous combustion coal gangue is piled up into mountains, which not only occupies the land, but also seriously pollutes the ecological environment. In order to solve this problem and improve the utilization rate of coal gangue, the study of coal gangue without spontaneous combustion in Pingxiang mining area was carried out, and the differences of chemical composition, physical characteristics and thermal activation characteristics of coal gangue were analyzed. On this basis, the coal gangue was used as coarse aggregate instead of some natural stones, and the influence of different temperatures on the compressive properties of coal gangue aggregate concrete was studied. The results show that the compressive strength of gangue concrete is lower than that of ordinary concrete at room temperature. At high temperature, under the influence of secondary hydration of cement and thermal activation of gangue, the compressive strength of concrete test blocks in each group presents an upward trend before 400°C, and reaches its maximum strength at 400°C, among which the mechanical strength of concrete with 30% gangue coarse aggregate is the best. This study provides a basis for the resource utilization of coal gangue in Pingxiang.
Influencing Factors of biofilm nitrification in long-distance water pipeline
Authors: Yang Hui , Qi Shuaige , Yan Yujie 
Published: March 2021

Abstract
The long-distance water transfer project alleviates the situation of water supply tension in various parts of China. In the process of raw water transportation, the nitrification reaction will be carried out by microorganisms due to the existence of a pipe wall biofilm, which converts ammonia nitrogen in water into nitrite nitrogen and nitrate nitrogen. Nitrification of pipeline biofilm is affected by many factors, including temperature, dissolved oxygen concentration, nutrient content, type, and concentration of disinfectants. These factors can change the activity, quantity of nitrifying bacteria, and the conversion rate of ammonia nitrogen, which leads to the effect of nitrification.
Ozone therapy in dentistry: from traditional applications towards innovative ones. A review of the literature
Authors: Gallo Simone , Scribante Andrea 
Published: March 2021

Abstract
Ozone (03) is a natural gas deriving from dioxygen (02) and acting as a strong oxidant. Despite this characteristic, low doses of ozone can be beneficial for the organism due to the antioxidant response implemented by this latter. Accordingly, since the 19th century, several therapeutic applications have been proposed in medicine, but even dental pathologies can benefit from the use of this substance. In particular, the introduction of ozone therapy in dentistry dates to 1930 when it was proposed as a disinfectant and wound-healing agent. Nowadays, it is known as an antioxidant, anti-inflammatory, immunomodulatory, anti-hypoxic, biosynthetic and antimicrobial agent. The main forms of ozone administration are three (gaseous ozone, ozonated water and ozonated oils) but its therapeutic indications almost cover every field of dentistry. The aim of the present review is first to describe the main traditional uses of ozone in dentistry, and, subsequently, to present the innovative applications proposed both in dental and orthopaedic implantology.
Comparison Waterlogging Tolerance Potential of Cassava
Authors: Dethvongsa Sengsoulichan , Vu Nguyen Anh , Van Tran Khanh 
Published: March 2021

Abstract
This experiment was conducted to evaluate the waterlogging tolerance of cassava. Five cassava genotypes from CIAT: CM9912-167, GM214-62, GM1263-6, GM1406-13 and GM1521-10, were used to assess the impact of artificial waterlogging conditions on growth and development of cassava. Cassava plantlets (in vitro) were cultivated in soil pots, and after 3 months of growth, they were waterlogged for 12 days. After three days of waterlogging, it was found that all 5 genotypes of cassava were affected by the waterlogged conditions. Notably, the variety of CM9912-167 clearly showed physiological changes such as chlorosis of leaves, wilting leaves and some plants even died within 6 days. Other varieties of cassava showed a belated onset of symptoms. Genotypes GM1406-13 and GM1512-10 showed the highest percent of chlorosis leaves, they resisted the effects of waterlogging for 12 days which was the longest time period for the genotypes tested. Through this experiment, cassava has two types of response to flooding. The first was cassava showing early yellow leaf, starting from old leaves and losing those yellow leaves. The other was withered whole the plant, then leaves dries and fall off, only a few young leaves on the top. In conclusion, cassava with yellow leaves is more resistant to flooding.
Pathogenicity Scoring System for Selection of Bacterial Consortium Formulated as Bioremediation Agent of Hospital Wastewater in Central Java
Authors: Darmawati S , Muchlissin S I , Ernanto A R , Sulistyaningtyas A R , Fuad H , Rahman K M Z , Sabdono A , Ethica S N 
Published: March 2021

Abstract
The search of cost-effective bioremediation agent of hospital wastewater is critical since current methods to treat biomedical waste worldwide are still costly and not environmentally friendly. Use of hydrolytic bacteria as bioremediation agent has been known, yet it is important to ensure that they fit safety requirement. This study aimed to establish and implement a simple plate-based pathogenicity selection scoring method to determine the pathogenicity levels of 26 indigenous hydrolytic bacteria isolated from the untreated wastewater of two hospitals in Semarang, Central Java, Indonesia. Bacterial cultivations were carried out in parallel on MacConkey Agar Plate (MAP), Blood Agar Plate (BAP) and Chocolate Agar Plate (CAP) followed by molecular identification. Next, a scoring system was set based on the ability of isolates to produce violet colour on the MA and hemolysis characteristics of the bacteria on both the BAP and CAP media. Based on the scoring system, 6 out of 26 bacterial isolates mostly belong to the members of Bacillus velezensis, B. amyloliquefaciens and B. licheniformis were identified having low pathogenicity, which make them a suitable bioremediation agent of the studied hospital wastewater. As conclusion, the set plate-based pathogenicity scoring system could be a simple, yet useful and reliable tool for selecting non-pathogenic indigenous hydrolytic bacterial strains potential as a bioremediation agent.
A big data of rehabilitation process management based on block chain
Authors: Xu YY , Li SL , Ma CM 
Published: March 2021

Abstract
This article uses block chain and big data technology to design a process management, and proposes a medical data sharing scheme based on block chain, which can effectively solve the problem that rehabilitation data may be tampered or deleted and improve work efficiency. Uses the chain block in the chain alliance technology, we design a rehabilitation information data storage management scheme, this scheme will be stored module is divided into two parts, one is the recovery operation data storage module, the module using relational data store inventory data, data read operations related to the rehabilitation treatment all can still read the database; The other is the audit log word storage module, which uses key-value database word storage to store the user’s operation contents of the business data, and any modification of the business data will be written to the data module. The blockchain-based rehabilitation big data process management model proposed in this article not only well meets the regulatory audit requirements of the rehabilitation treatment management system, but also forms a real alliance among the health administration departments, hospitals and recovered patients. Conclusions: Through rehabilitation big data sharing system, medical personnel through case information to rehabilitation plan provides more valuable reference, and carries on the reasonable use of these information, so as to enhance the level of rehabilitation treatment and effective information will be fully in the medical data mining, medical personnel can strengthen communication and cooperation with information technology personnel, so as to create more convenient, applicable platform for the rehabilitation.