bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioinformatics Analysis of the Lycopene β-Cyclase Gene in Jujube (Ziziphus jujube Mill)
Authors: Hou Yanxia , Guo Yan , Yang Jing , Bo Xuan 
Published: January 2021

Abstract
Lycopene β-cyclase enzyme is a key cyclase in carotenoid synthesis pathway, which catalyzes the formation of catalytic ring to synthesize α-carotene and β-carotene. In this study, the physicochemical properties, secondary structure, subcellular localization and homology of ZjLCYb were analyzed. Here, the genomic mRNA sequences of LCYb gene of jujube were downloaded from NCBI and then used to bioinformatic analysis. The ZjLCYb gene sequence was 1518 bp in length and encoded 505 amino acids. The molecular mass of ZiLCYb protein is 56.81 kD, and the isoelectric point (pI) is 7.65. Subcellular localization of ZjLCYb protein was most likely located in the chloroplast.The ZjLCYb protein has a Rossmann-fold NAD(P)H/NAD(P)(+) binding (NADB) domain and a PLN02463 specific hit. Homologous analysis showed that ZjLCYb and LCYb proteins from 17 other species contained more than 84.42% similarity, with the highest similarity being Vitis vinifera and Prunus persica. This study laid a foundation for bioinformatics analysis of carotenoid biosynthesis genes of jujube.
Screening of Cellulose Degrading Bacteria and Construction of Complex Microflora
Authors: Sui Ming , Rong Jiachao , Zhang Yang , Xie Huirong , Zhang Cai 
Published: January 2021

Abstract
The collected samples were pre-screened with Congo red cellulose medium according to the ratio of transparent circle diameter/colony diameter, and 10 strains with strong ability to decompose cellulose were obtained. Then, these strains were inoculated into the liquid production enzyme medium to measure the CMC enzyme activity for rescreening, and finally the N05, N13, N213 strain high-efficiency cellulose degradation strains were screened. These three strains were combined and cultured, and the best combination of effects was obtained by comparing the enzyme activities.
The International Energy Trade Pattern Reshaping, Competition and Energy Revolution
Authors: Hua Xu 
Published: January 2021

Abstract
Under the global economic slowdown and shale oil and gas technology revolution, the current international energy trade is reshaping, forming a new one whose characteristics are totally different from the old. The energy price fluctuations, the international energy supply and demand structure have been shuffled, and the geopolitical landscape has changed. The energy trade bloc led by the United states realizes self-circulation and high stability. The differentiation of the supply and demand in East Asia-Southeast Asia trade bloc has expanded, the risks increasing. The U.S. geopolitical leadership becomes more and more strong. The energy giants such as Saudi Arabia and Russia competed in production and price are further strengthening this trend. At present, an energy revolution is imperative. It is necessary to focus on improving energy efficiency and energy use structure. There is also have an effect on the global production. The distributions of world's manufacturing industry will readjust due to the costs.
Establishment of A New HBV Cell Culture Model by Covalently Closed Circular DNA Direct Transfect
Authors: Zhao Zhonghua , Tang Yuwei , Wei Qinglv , Zhang Huatang 
Published: January 2021

Abstract
Hepatitis B virus (HBV) infection is a public health problem in China and worldwide. Covalently closed circular DNA (cccDNA) is the template for HBV replication and exists stably in hepatocytes, which is the main factor for persistent HBV infection and the key target for the cure of HBV infection. The establishment of a suitable cell model is helpful to research the HBV pathogenesis and antiviral drug screening. We have established a new cell culture model of HBV infection by direct transfect of cccDNA, which provides a practical model for further research of HBV virology and antiviral drug development.
Study on Equilibrium Relationship Between Government Regulation and Social Environmental Responsibility of Energy Enterprises
Authors: Lin Liu , Yu Shen , Huang Xianan , Tu Xiazhe , Hong Juhua 
Published: January 2021

Abstract
This paper uses the evolutionary game model to analyze the relationship between government regulation and social environmental responsibility of energy enterprises. Then, we use the Matlab to simulate the dynamic change between government regulation and social environmental responsibility of energy enterprises. The conclusion of the study shows that: (1) The strategic choice based on corporate social environmental responsibility is must be the green technology innovation, and if we want to the maximum profit, we need to find a balance between government regulation and corporate social environmental responsibility. (2) Whether the government supervises enterprise, whether an enterprise fulfills its social environmental responsibility, depends on the specific circumstances. We must take an overall consideration of the cost of government, the bonuses, and penalties, the corporate different earnings because of different choices between fulfills and defaults its social responsibility, the bonuses the company achieved, the penalties the company must pay, and many other factors. The main contribution of this thesis is: break through the static research about the relationship between government and energy enterprise. We acquire the dynamic relation between government and energy enterprise based on green technology innovation. And it provides great help for our energy companies future direction of development.
Comparative Analysis of Two Methods of Natural Gas Demand Forecasting
Authors: Min Jingjing , Dong Yan , Wu Fang , Li Naijie , Wang Hua 
Published: January 2021

Abstract
Based on the monthly dataset of natural gas demand and meteorological factors in heating season (November to next March) of Beijing from 2002 to 2013, an analysis of meteorological condition of natural gas fluctuation is done, which used by Empirical Mode Decomposition (EMD) and statistical correlation methods. A novel intelligent prediction model (EMD_BP) of natural gas demand in heating season via EMD and Back Propagation (BP) neural network algorithm is proposed. In addition, we adopt a prediction model only using BP neural network algorithm compare to the above combine method. The results are as follows, (1) EMD method is a better approach to decompose the social demand and meteorological demand of natural gas. (2) There is a close affinity between natural gas demand and meteorological factors in heating season. The meteorological demand of natural gas is significantly negatively correlated with the mean temperature (also minimum temperature, maximum temperature and negative accumulated temperature), but significantly positively correlated with rainfall and low temperature (<-8°C) days. (3) Comparing with BP model, EMD_BP model can accurately fit the changing tendency of natural gas time series. The results show that the EMD_BP prediction model has better applicability and extensive popular prospect.
Variation in anthocyanins of different varieties of purple carrots
Authors: Ma Jie , Lin Peixing , Chen Chunyan , Ma Jun , Ma Wei , Wu Meiling , Sun Bo 
Published: January 2021

Abstract
The composition and content of anthocyanins were investigated in nine varieties of purple carrots to reveal the diversity of the anthocyanins among different varieties of purple carrots. The results showed the significant differences of the composition and content of anthocyanins were found between nine varieties of purple carrots. Five anthocyanins were detected in purple carrots, including cyanidin 3-xylosyl(glucosyl), cyanidin 3-xylosylgalactoside, cyanidin 3-xylosyl (sinapoylglucosyl)galactoside, cyanidin 3-xylosyl(feruloylglucosyl)galactoside, and cyanidin 3-xylosyl(coumaroylglucosyl)galactoside. Only four of the five anthocyanins were detected in Caohaihong, Zhongzidan, and Yanzi, whereas 3-xylosyl(coumaroylglucosyl)galactoside were not detected. The highest content of total anthocyanins was found in Tianzi. In addition, the highest contents of individual anthocyanins except for cyanidin 3-xylosyl(sinapoylglucosyl)galactoside, were also in Tianzi, and the highest content of 3-xylosyl(sinapoylglucosyl)galactoside was found in Zishengzi. In summary, these findings provide a theoretical reference for the scientific consumption and a foundation for the further study of purple carrots in the future.
Research on Optimal Algorithm for Time-domain Synthesis of Shock Response Spectrum Based on Continuous Second Derivative
Authors: Song Wei , Wang Ru , Lin Pengting , Liu Mi , Wu Jianchao , Zhang Bolin , Gu Yi , Xie Pengfei 
Published: January 2021

Abstract
Aerospace power supply and distribution products must predict the shock response based on the shock boundary conditions to determine the mechanical design safety factor. In this paper, the SRS of a typical product is used as an input condition, and a damped-sine discrete wave is used to synthesize an equivalent discrete time-domain sequence for simulation calculation. In order to improve the calculation efficiency, a low-sampling frequency time-domain sequence optimization algorithm based on continuous second derivative is proposed; through calculation comparison and verification, the algorithm can effectively improve the simulation operation efficiency, and the response prediction accuracy can meet the allowable requirements, which provides a new idea for products’ SRS calculation.
Study on the Influence of Risk Factors in China’s Photovoltaic Industry
Authors: Huang Shasha 
Published: January 2021

Abstract
The adjustment and transformation of energy structure is encountered as a common problem of the world. With the deepening globalization, Photovoltaic energy as the clean and renewable energy occupies an important position in the future energy structure. The short-term explosive growth promotes the rapid growth of China’s photovoltaic industry as one of the largest photovoltaic producer and application market in the world. Due to the short development life and insufficient industry precipitation, the unstable industrial foundation is vulnerable to industrial risk impact. Therefore, to predict the internal and external risks of the industry in advance can effectively prevent or mitigate the impact of risks. By collating and summarizing the disclosure information of significant events and risk factors in the prospectus of Chinese photovoltaic listed companies, this paper identifies and analyzes the main factors faced in the development of photovoltaic industry, and put forward relevant suggestions for risk prevention and control of photovoltaic industry.
Acquisition of missile fault diagnosis knowledge based on incomplete information of flow graph
Authors: Liu Zhaozheng , Xiao Mingqing , Zhu Haizhen , Li Jianfeng 
Published: January 2021

Abstract
Aiming at the problem of missing information and incomplete information in missile fault diagnosis, a method of acquiring missile fault diagnosis knowledge based on flow graph is proposed. Firstly, the fault feature information is extracted, and the fault diagnosis knowledge is classified by using the feature relationship to obtain a set of fault diagnosis examples under the same feature relationship. Then, the flow graph of incomplete fault diagnosis is established, and the confidence level and coverage level between each node are expressed. The knowledge acquisition framework of missile fault diagnosis is constructed. Finally, combining with the case analysis, it is verified that the fault diagnosis knowledge acquisition method has a good intuition, which provides an effective reference for missile fault diagnosis.
A Novel Initial Value Prediction of Curve-Fitting Algorithm for Single-Diode Model of Photovoltaic Modules
Authors: Chen Dong , Zhang Shishun 
Published: January 2021

Abstract
In this paper a new initial value prediction of curve-fitting algorithm is presented for extracting the parameters of the single-diode model. Before extracting the parameters of the single-diode model of Photovoltaic (PV) modules, a reform of the equation of the single-diode model has been presented for improving the accuracy of the Single-diode model. And the biggest advantage of the algorithm is the prediction of initial value where Newton-Raphson method utilized to seek the root of initial value objective function. Also, Gauss-Newton iteration method have been applied to seek the optimal value of the algorithm—the least square nonlinear multiple regression. Test on two classic case studies and operational PV cells and modules, the proposed algorithm exhibits substantial improvement in terms of fitting accuracy, where the root-mean-square error is lower than other methods, and reliabilities for practical applications including different types and materials. With these, the proposed method is envisaged to be valuable for practical applications, in which accuracy of the single-diode model is of prime concern.
Research on the Forming Method of Lightweight Body and Parts
Authors: Ye Pengxiang , Zhou Wencan , Zhao Chaohui , Wang Hui 
Published: January 2021

Abstract
In recent years, with the diversified development of various scientific research competitions, undergraduate competitions such as the Formula Student Car Race have gradually become regular and high-level. The various parts of the car must be updated and optimized before each race. Among them, the change of the load-bearing frame and the lightweight of parts are particularly important. Therefore, how to reduce the weight of the car, improve the torsional stiffness and mechanical performance of the car by changing the body state, so that the car has better acceleration, braking and handling performance, has become an urgent problem that needs to be solved. Then started research on this.
Research on Test and Evaluation Technology of Hybrid Power Unit
Authors: Chen Bin , Yan Wensen , Wu Shiyu , Liu Zhiyan , Yan Yi 
Published: January 2021

Abstract
With the adjustment of the strategic planning of China's automobile industry, the national policy strongly supports the development and large-scale application of hybrid power technology, but there is no guidance document on the testing and evaluation standards of hybrid power units. In this paper, the current situation of testing and evaluation technology of hybrid power units at home and abroad is analyzed in detail, and combined with the working characteristics of hybrid power units, the testing and evaluation methods that are more in line with the working characteristics of hybrid power units are put forward. They are the individual test of hybrid power unit parts, the test method of independent control of engine load and motor load, and the test method of total load control of hybrid power unit.
Research on Thermal Management System of Liquid Direct Contact Battery
Authors: Yan Yi , Xie Xin , Luo Jun 
Published: January 2021

Abstract
This paper proposes a thermal management system based on liquid direct contact with battery. The paper first uses the principles of heat transfer and computational fluid dynamics to establish a thermal model for single cells and 48V battery module, the performance of thermal management system which liquid indirect contact with battery and thermal management system which liquid direct contact with battery are compared and analyzed by simulation. The results show that the latter is better than the former in battery temperature rise control and single cell temperature consistency control, and has good application and promotion value.
Power Based Open Phase Condition Detection Scheme
Authors: Du Yushi , Tan Weipu 
Published: January 2021

Abstract
Open phase condition can occur in all types of power plants and substations, of which the detection and treatment measures are beginning to be required in the design standards of nuclear power plants. Operation experience shows that when open phase condition occurs on the primary side of the transformer, especially under light and no-load conditions, the traditional protection device based on sequence components cannot reliably operate, and the safety equipment that is used to isolate station auxiliaray transformer will not work properly, which leads to the failure of safe bus automatically transfered to a stanby power source. This situation posts great threats to the safe operation of nuclear power plants. This article systematically analyzes the difficulties in open-phase detection and the change in electrical quantities after open phase fault, and more importantly, focuses on the analysis of the power characteristics after the fault, based on which a new open phase detection scheme for nuclear power plants is proposed. It can also be applied to other types of power plants. The method and its feasibility are verified on PSCAD simulation software. The paper provides a new idea for the detection of open phase fault.
Application of Sludge Coupling Power Generation Technology in Coal-fired Power Plant
Authors: Liu Jinglong , Wang Shouen , Wang Jiaxin , Hou Fanjun , Duan Chuanjun , Zhang Xudong , Zhao Zhonghua , Cui Fuxing , Liu Ke , Wang Haichao , Hu Zhihong , Yang Xingsen 
Published: January 2021

Abstract
The coal quality characteristics of urban sludge were analyzed, and three types of coal-sludge-coupled power generation technologies were introduced, including direct sludge mixing, flue gas direct drying sludge and steam indirect drying sludge coupling power generation. Three types of sludge coupling power generation technologies in coal-fired power plant were introduced, including direct sludge blending process, sludge blending after drying directly by flue gas and indirectly by steam. The control values of sludge blending ratio and moisture content after sludge drying are analyzed, and it is considered that the direct sludge blending ratio should be controlled within 5%. The moisture content after sludge drying should be controlled at 30-40% and the blending ratio should be controlled within 10%. The influence of sludge blending on the operation of the unit is analyzed. The operation of coal-fired boiler is stable, the quality of fly ash and slag has little change, and the emission of pollutants and heavy metals reaches the standard if the proportion of sludge mixed with combustion is controlled within 10%.
Research on Large-scale Cable Intelligent Laying Technology Based on Graph Theory
Authors: Wu Dongxun , Kong Xiangmin , Liu Jiwu , Ge Aixin 
Published: January 2021

Abstract
Power cables, as the most important power transmission medium for indoor substations in urban centres, are important factors that affect the safety, reliability, flexibility and economy of substations. It is important to study the substation cable laying schemes to study the technical and economic schemes of substation construction. component. Aiming at the goal of achieving the best technical and economical solution for cable laying in substations, by combing the statistics of the total station cable quantity and optimizing the cable laying path in combination with the plane layout, using three-dimensional software, a model for the cable laying of each interval power distribution device was established to complete Three-dimensional visual simulation of cable laying at a station, accurate design of cable laying path, verification of collision, simulation of construction work surface, optimization of cable laying path and facilities, and optimization of cable outbound methods in conjunction with planning requirements. Finally, a cable laying optimization design plan for smooth cable connection, safe construction and operation, convenient expansion, and economical saving can be formed, which can save the cable laying investment in the station.
Deformation analysis of underground powerhouse of a large hydropower station based on FLAC3D
Authors: Ma Shuai , Huang Taosheng , Bao Xiaojun , Wang Zhiyuan , Zhang Haotian , Liu Gao 
Published: January 2021

Abstract
Aiming at the deformation characteristics of surrounding rocks in underground powerhouse area of a hydropower station in Western China, the finite difference method is used for numerical calculation, and a assistant modeling software is used to realize the refined modeling of complex surface, which effectively improves the simulation accuracy. The results show that the stress level of surrounding rocks is low, the deformation of surrounding rocks is small, and the surrounding rocks is basically stable. However, the plastic zone of surrounding rocks has the trend of transfixion, so it is necessary to adjust the spacing of powerhouse.
Big Data Analysis Supports the Research and Pilot Application of Distribution Network Planning Technology
Authors: Chen Jing , Shi Weiwei , Liu Ye , Chen Quan , Huang Pingfa , Li Jiaying 
Published: January 2021

Abstract
The construction of the enterprise data center has met the automatic access of the massive data generated by the operation and management of the distribution network, and realized the integration and unification of the professional data of dispatching, operation inspection, and marketing, providing big data technology to support the planning and management of the distribution network The application of new technical conditions such as broadband carrier has greatly improved the authenticity, reliability and timeliness of big data in the distribution network. Through the design of distribution network monitoring and early warning, diagnosis management, quality assessment, portrait research, power outage optimization, load forecasting and other intelligent application models, the accurate processing of distribution data is realized, and the state of the distribution network can be accurately evaluated. Provide technical support for grid structure optimization. Based on this research background, papers, articles have studied and proposed big data-based distribution network planning, planning auxiliary decision-making system: Based on unified technical principles, a unified planning platform is adopted to realize unified project construction. Practice shows that the plan, the auxiliary decision-making system has improved the quality of planning scheme preparation, improved the review effect, and raised the lean level of investment decision-making.
Reliability Parameter Optimization of Electromagnetic Relay for Aerospace Products Based on 3D Thermal Stress Field
Authors: Mu Cheng , Song Wei , Hui Tianli 
Published: January 2021

Abstract
The reliability of thermal and solid coupling relay is an important factor in aerospace products. A refined model based on the internal constitutive characteristics of the device is established, and the thermal solid coupling relationship curve is established. The three-dimensional temperature field and thermal stress field are analyzed by using the finite element analysis software ANSYS. Through the simulation of the thermal field and thermal stress field under different parameters, the design factors affecting the internal thermal distribution of the device are preliminarily analyzed, which provides the parameter basis for the reliability optimization design of the relay.