bluuebunny/crossref_metadata_2025 huggingface dataset:
Optical performance test and energy resolution analysis on LaBr3(Ce) crystal
Authors: Jiang T Z , Liu F , Fan X X , Li M , Liu F C , Ouyang X P
Published: February 2021

The paper used 137Cs and 60Co γ sources to measure and analyze the effects of different voltage, gain, count time of photomultiplier tube and different distance of sources on the energy resolution of LaBr3(Ce) crystal; the relationship curves were obtained quantitatively. The experiment values are in good agreement with MCNP simulation results. The results show that the energy resolution of LaBr3(Ce) is negatively correlated with voltage and gain; the gain is more influential. The energy resolution of LaBr3(Ce) is positively correlated with detection distance and count time; the detection distance is more influential. The paper used picosecond X-ray generated by pulsed power accelerator “Qiangguang-?” to excite the LaBr3(Ce) crystal and measure its fluorescence decay time and emission spectrum. The results are consistent with the available experimental data of other scholars and verify the excellent time response of LaBr3(Ce). With the increase in X-ray energy, the peak emission wavelength shifts towards infrared direction, which can better match the spectral response of photocathode.
Microwave absorbing properties of La1-x
Ba
x
MnO3 (x=0.1,0.2,0.3,0.4,0.5) nano-particles
Authors: Deng Jianjie
Published: February 2021

Electromagnetic wave absorbing materials have always been a research hotspot in military and civil fields. La1-x
Ba
x
MnO3 nanocrystalline powders were prepared by sol-gel method. XRD analysis shows that La1-x
Ba
x
MnO3 is a single perovskite structure, and the lattice constant changes with the doping amount. SEM analysis shows that La1-x
Ba
x
MnO3 is basically spherical with an average particle size of about 80 nm. The relationship between the complex permittivity and permeability with microwave frequency was measured by microwave vector network analyzer. According to the measured data, the microwave reflectivity and loss factor of the sample were calculated, and the microwave loss mechanism of the sample was discussed. The results show that x has a great influence on the absorbing properties of La1-x
Ba
x
MnO3. When x is 0.2 and the thickness is 1.6mm, the absorption bandwidth above 10dB reaches 2.1GHz and the maximum absorption value is 25dB. The microwave loss of La1-x
Ba
x
MnO3 mainly comes from the dielectric polarization loss of perovskite materials, it also comes from conductivity loss, magnetic loss and interface polarization loss due to Ba doping and nano effect.
First principles study on electronic structure, ferromagnetism and dielectric properties of α-Fe, FeSiAl and Fe3Si
Authors: Wu F C , Zhou J , Lai J B , Li S J , Ma R , Xie Q
Published: February 2021

Based on the plane-wave pseudo-potential theory, the first principle calculation was used to study the electronic structure, ferromagnetism and dielectric properties of α-Fe, FeSiAl and Fe3Si alloys. Results indicate that the Fe3Si has the strongest hybridization and covalent bond. And α-Fe has the most stable system structure. The PDOS shown that the peak for the imaginary part of dielectric constant in the low-energy region is due to the electronic transitions of the hybridized 3d spin-down Fe states above and below the Fermi level, and the high-energy peak of it is formed by the transitions from the broad 3d spin-down band in the valence band to the unoccupied 3d spin-down states. Compared with α-Fe and FeSiAl, the imaginary part of the dielectric constant of Fe3Si is larger, and the magnetic moment of Fe3Si alloy is the largest according to the electronic structure and magnetic analysis. Therefore, Fe3Si has better absorbing properties.
Theoretical analysis and numerical simulation of square honeycombs
Authors: Li Z G , Wang J M , Li M , Chen F Y
Published: February 2021

Aluminum honeycomb is widely used in energy absorption field for its special structure and excellent performance. The three-dimensional finite element models of aluminum honeycombs are developed in order to explore the mechanical behaviors under out-of-plane and in-plane compression. The simulation method is validated based on the experimental results of hexagonal honeycombs. Based on the simplified super folding element theory, we study the platform stress of square honeycomb under out-of-plane and in-plane compression. The theoretical formulas of platform stress under two conditions are provided in this study. Finally, compared with the simulation results of square honeycomb compression, the maximum error between the simulation and the theory for the platform stress under out-of-plane and in-lane compressions is less than 10%, and 15%, respectively. Both the results predicted by the theoretical formulas show high precision.
Simulation of resistance heating process for AZ31B magnesium alloy sheet
Authors: Yang H , Yang J S , Li J P , Niu W Y , Sun T
Published: February 2021

Temperature is one of the key factors affecting the quality of magnesium alloy sheet products in warm rolling deformation. Inaccurate temperature control will cause defects such as difficult forming and edge cracking. This paper focus on the temperature distribution of AZ31B magnesium alloy sheet during resistance heating based on a special warm rolling experimental mill for magnesium alloys with online heating developed by the State Key Laboratory of Rolling Technology and Automation of North Eastern University (NEU-RAL). COMSOL finite element software was used to simulate the influence of the main parameters in heating process on temperature, and the relationship curve of steady-state and transient temperature distribution were obtained. Finally, the correctness of the simulation law was verified by resistance heating experiments. The above job provides theoretical basis for temperature control of magnesium alloy sheet during warm rolling.
A Survey of Abnormal Event Perception Research Based on Mobile Phone Location Big Data
Authors: Yang Hu , Xiaoyong Zhang , Di Xiao
Published: February 2021

The perception of human behavior that is different from normal has always been a common concern in many fields. The widespread use of smartphones makes it possible to obtain a large amount of user activities at fine spatial scales. In this context, this article first systematically summarizes the research on human behavior patterns in the era of mobile phone big data. Although the current research has made certain research progress, there are certain limitations in data source selection and activity semantic analysis. Then it focuses on the relevant research on the perception of abnormal events by mobile phone positioning big data, including the research progress in abnormal event early warning and emergency response, and believes that there is more room for development in related research. The analysis of these studies provides reference value for handling similar emergencies in the future, especially for post-disaster emergency response and resource allocation. It provides strong theoretical support.
An analysis of the “direct effect” and “indirect effect” of urban housing prices on the upgrading of industrial structure——Based on data of 285 cities
Authors: GuoMeng  , cheng Du Zhong , Shukai Cai
Published: February 2021

In order to investigate the extent of the impact of changes in urban housing prices on the transformation and upgrading of industrial structure and the spatial related characteristics under the big data environment, this paper based on the sample data of cities at prefecture level and above in China from 2007 to 2016 establishes a spatial dynamic Durbin model with spatial geographical proximity, spatial geographic distance and spatial economic distance as weight matrix, so as to measure the direct impact of housing price fluctuation on industrial structure upgrading Indirect effect and indirect effect.
An Exploration-driven Reinforcement Learning Model for Video Streaming Scheduling in 5G-Powered Drone
Authors: ShuijieWang  , Su Yu , Cheng Qianqian , Qiu Yuhe
Published: February 2021

In the process of wireless network video streaming, especially in more complex scenarios (such as video transmission of 5G-powered drones), analyzing the quality of experience (QoE) of the video streaming is a very crucial task. Thus attention should be paid to the dynamic interaction between QoE indicators including buffer starvation probability and traffic load. This paper proposes a video streaming scheduling model based on reinforcement learning. By learning the correlation between user behavior and traffic patterns, a series of resource allocation strategies that optimize QoE indicators are obtained. Since there is a certain degree of randomness in the network status at each moment in the transmission process, the model introduces exploration rewards to solve the noise problem of random environments. At the same time, this mechanism enables the model to fully explore the environment even when the reward is sparse, so as to obtain an effective scheduling strategy. Simulation experiments have proved that our model can improve the long-term QoE of video streaming in different network environments.
Automated Classification of Textual SPECT Diagnostic Reports with TextCNN Model
Authors: Han Chengcheng , Lin Qiang , Man Zhengxing , Cao Yongchun , Wang Haijun
Published: February 2021

The SPECT diagnostic text contains several aspects of the patient’s personal information, image description, and suggested results. In order to construct a diagnostic model of nuclear medical text, a classification method of nuclear medical text based on deep learning was proposed. TextCNN was applied to propose the classification method of diseases. A set of real nuclear medical text data was used to verify the proposed method, the experimental results show that the proposed method has a good classification effect.
Design of ice snow accident detection system based on Embedded System
Authors: Zhao Jianguang , Cao Xinying
Published: February 2021

Frequent accidents in ski resorts affect the development of skiing industry. In order to solve the problems faced by skiing industry, an ice snow accident detection system based on embedded system is designed. The system combines embedded system with image processing technology, and has high development value. This paper first introduces the hardware composition, function and hardware selection of the system, and then introduces the design of software. The software program is mainly realized by target detection, target tracking and collision detection algorithms. The design of the system provides ideas for the research of ice and snow accident detection, and has very important practical value.
System Design of Archives Management Based on Blockchain Technology
Authors: Li Guoliang , Yan Su , Yuan Longzhou , Zhang Haibing
Published: February 2021

Archive information is an important information resource for the economic and social development in new district. With the construction of the new district, archive information sharing has become a major technical and application problem that needs to be tackled urgently, due to rising archive data amid project process and separated management of them. The traditional system of archives management adopts a centralized architecture and centralized storage. However, different participants have various standards, so as to bring about many problems, such as, difficulties in data interaction, low authority, poor resistance to cyber attacks, and easy information leakage, which can’t meet the needs of archives management modes of personnel, enterprises, projects and other subjects amid the complex construction environment of the new district. With the rise of Bitcoin project, Blockchain technology has popularized. After long-term development, its application ecological environment has begun to form a scale. The concept of a new application system based on the blockchain technology architecture is in coincidence with that of the construction of archives management system of a new district.
Research on Site Selection and Algorithm of Military Logistics Center
Authors: Du Jian , Zhan Huan , Du Lijuan
Published: February 2021

As an important link in the guarantee, military logistics is becoming a hot topic. The paper briefly describes the general situation, summarizes the characteristics of military logistics and the research significance of military logistics center. It systematically analyzes the siting model and method of military logistics center, and gives two siting models of military logistics center. According to the special needs of military logistics, the paper establish the location model of military logistics center and simulation algorithm. On this basis, it carry out the experiment to verify the model, in which the results show that the model has a wide range of application and high precision.
Test Case Generation for Web Application Based on Markov Reward Process
Authors: Cao Jing , Liu Xiaoqiang , Guo Hui , Cai Lizhi , Hu Yun
Published: February 2021

Web applications often face continuous updating due to functional change or UI renew, while it remains a challenge to guarantee their correctness. The goal of software testing is to find defects in a limited time range whereas exhaustive testing is an ideal yet time-consuming process. In this research, we propose an approach to generating test cases automatically based on the Markov reward process which innovatively contains a reward function for test results to guide the generation of test cases. By using the N-step algorithm, this approach can generate the test flow with the highest risk priority which can capture software defects as quickly as possible. The experiment on an e-commerce system shows that there is significant improvement on the defect detection capability of test cases generated through Markov reward process.
Charging Station Recommendation for Electric Vehicle Based on Federated Learning
Authors: Wang Xiaohui , Zheng Xiaokun , Liang Xiao
Published: February 2021

At present, the usage of EV charging facilities is unbalanced. The accuracy of the charging station recommendation does not meet the demand. Due to the limitation of user privacy protection, charge point operators and vehicle enterprises cannot provide data to each other for joint analysis. Therefore, we proposed recommendation method of EV charge point based on federated learning. The federated factorization machine is implemented to make use of data features in both sides and cross features between them. We build the model by encrypted entity alignment, secure federated training and predicting. The experimental results show that the federated model improves the AUC of the model by 6% over those built with features only from the charge point operators. The model is superior to centralized LR-based and RF-based models. While the data does not need to leave the original platform, the model realizes the secure and precise federated charging point recommendation based on more comprehensive features.
A Literature Review of Spatio-temporal Data Analysis
Authors: Dong Zhenmin , Guo Chunfang
Published: February 2021

In the era of massive data, people are paying more and more attention to the spatio-temporal attributes of data. Many studies have begun to explore the methods of spatio-temporal analysis and apply spatio-temporal data analysis techniques to various fields. This article surveys and summarizes many previous research results. The current situation of spatio-temporal analysis is analyzed and prospected from three aspects: spatio-temporal analysis method, spatio-temporal data model and platform construction and spatio-temporal data analysis application scenarios.
Detecting Depression from Tweets with Neural Language Processing
Authors: Wen Sijia
Published: February 2021

As social media becomes a major part of everyday life, analyzing language on social media is becoming a potentially fruitful approach to discover depression patients. At a time when depression is starting to be taken seriously, sentiment analysis through social media should be studied further so that people can be treated in the early stages of depression. With the intention to detect depression behavior through studying language on social media, we built a classification model for depression detection by training on a Tweets dataset from Shen et al 2017. After optimizing hyper-parameters including learning rate and embedding dimension, the language classification model achieves the test accuracy of 98.94% and an F1 score of 99.04% which is higher than the best performance of 85% F1-measure achieved by Shen’s work. These results show that the method is effective and can be used in a wider range of unlabeled data to locate potential depressed users.
The miniaturized patch antenna with enhanced bandwidth based on reactive impedance surface and slotted parasitic patches
Authors: Mu Zhihao , Ma Jingnan , Zhao Yingjuan , Chen Changxing
Published: February 2021

We presented a miniaturized patch antenna with enhanced bandwidth. Reactive Impedance Surface (RIS) was introduced instead of the traditional metal floor, and bandwidth enhancement is realized by loading slotted parasitic patches. The reference antenna and the antenna 1 loaded with the parasitic patch are designed, that impedance bandwidth changed from 8.5% to 23.6%, the peak gain and the front-to-back ratio was also improved by 2.2dBi and 7.8dB respectively; The metal floor of antenna 1 was instead by using RIS periodic structure to design Antenna 2. The absolute bandwidth of both antenna 1 and antenna 2 is about 1GHz. Antenna 2 is 22.4% smaller than the reference antenna and 28.6% smaller than antenna 1. The simulation results show that the proposed bandwidth enhancement and miniaturization methods are effective and ensure a certain improvement in gain.
Research on Forecast of Rail Traffic Flow Based on ARIMA Model
Authors: Liu Shu Ying , Liu Shuo , Tian Ye , Sun Quan Long , Tang Yu Yang
Published: February 2021

With the rapid economic development, subway-based rail transit is spreading all over the country, and efficient prediction of rail passenger flow is the key to alleviating traffic pressure. In view of the time-series characteristics of subway passenger flow data, the author uses the simulation results to show that the ARIMA model has higher accuracy and better effect in predicting the rail transit flow.
High Availability Services of Client in Large-scale Cluster System
Authors: Zhang Zhongmin , Tian Yin , Li Lei , Wang Yufang
Published: February 2021

Aiming at the disadvantage of high availability based on node redundant, a high availability scheme based on storage devices redundant was researched and designed in large-scale cluster system with network storage devices by working on system kernel. The advantages of low-cost, low-complexity of maintenance and high-utilization of resources were received. Besides, an asynchronous prototype system of high availability based on log was implemented. Test proved that anticipated goals in system performance, data consistency and availability were achieved.
Effects of Parallel Structure and Serial Structure on Convolutional Neural Networks
Authors: Chen Xiaoya , Xu Baoheng , Lu Han
Published: February 2021

Based on KERAS’ FASHION_MNIST data set, a convolutional neural network with serial structure and parallel structure was set up for training. The serial structure can be used for deep feature mining and the parallel structure can be used to describe the first impression. The results show that the parallel structure has better effect and faster speed for simple images.
Development an algorithm for information support of the internal quality control system in the medical information system
Authors: Tokareva Yu M , Artyukhina A , Chumakov V I , Zhuchenko D D , Tokina V A
Published: February 2021

The most important element of health management at all levels is currently information support. The article presents the results of developing an algorithm for information support of the internal quality control system in the medical information system. As a result of a survey of experts, quality assessment criteria were identified: medical documentation, patient survey data, information from books of reviews and suggestions, oral and written appeals to the administration. The calculation of the quality factor for maintaining a patient‘s medical record in the medical information system (MIS) should be performed automatically. The results of the ongoing internal control of MIS automated generation of reporting forms in time and in levels, containing the following information: the reporting period; volume of performed internal control: the number of verified cases; the volume percentage of the specified minimum volumes; the results of the internal control, General and in the context of the number of branches of the revealed defects of medical aid by kinds, a summary of the actions taken responsible for conducting monitoring; proposals on the result of internal control for the head of the institution.
Designing Interaction of Food Allergy Information Application Using User-Centered Design Approach: Gojek Case Study
Authors: Sutrisno A T , Yulianti L P , Harlili
Published: February 2021

Food allergy and anaphylaxis are known to keep increasing in prevalence for over the years. Various efforts have been made to provide the solutions but they have not been proven very effective while on the other hand technological solution has not yet been much involved to support them. The main problem with food allergy is that people find it hard to access the information of complete ingredients, food-making process, and shared equipment that might be used in the process. The information is regularly needed by people with food allergy to determine whether the food is safe to consume or not. This paper will explain how the problems are solved by designing a food allergy information application using user-centered design (UCD) approach to facilitate the user needs with Gojek application as the study case. The outcome of this research is a high-fidelity prototype of the application. Usability testing is conducted for the prototype by using parameters such as completion rate, System Usability Scale (SUS) questionnaire, and User Engagement Scale-Short Form (UES-SF) questionnaire with corresponding results of 100% completion rate, 85.4 SUS score, and 4.23 UES-SF score which shows that effectivity and engaging as usability and user experience goals are fulfilled to answer the user needs.
Europe under multi-year droughts: how severe was the 2014–2018 drought period?
Authors: Moravec Vojtěch , Markonis Yannis , Rakovec Oldrich , Svoboda Miroslav , Trnka Miroslav , Kumar Rohini , Hanel Martin
Published: February 2021

The recent dry and warm years in Europe are often assessed as extreme in terms of socio-economic and environmental losses. However, the impact of a drought is a function of its duration. This fact needs to be considered in the evaluation of a drought. In this study, we use a hydrological model to analyze the 2018 European drought, an event that significantly affected vegetation. We show that the severity of the soil moisture drought is high in Central Europe and Mediterranean, but it does not reach the levels observed in the first half of the 20th century. Nevertheless, we demonstrate that when the multi-year 2014–2018 period is considered, its soil moisture drought severity is exceptional in a 253 year period, especially for Central Europe. While single-year droughts can be sustained by ecosystems like forests, the repeated stress exposure of such multi-year droughts may have significant impacts on their functioning. This is already evident in some regions of Central Europe, e.g. in the Czech Republic, Germany, and Poland.
Challenges of implementing sustainable facilities management in higher institutions of learning
Authors: Radebe S , Ozumba A O U
Published: February 2021

The paper investigates the barriers to the implementation of sustainable facilities management practice in higher institutions of learning. An integrative literature review was conducted to identify the barriers associated with the implementation of sustainable facilities management practice in higher institutions of learning. Findings from the literature reviewed thus far indicate that the lack of knowledge, senior management commitment, time and financial constraints, and lack of capability are major barriers to adopting and implementing sustainable facilities management. However, there is acute scarcity of relevant information for the local context. There is a need to address the barriers of implementing sustainable facilities management principles in higher institutions of learning. Especially in the local context, there is a need for empirical studies for adequate comparison and specificity of results. The paper will be informative on the current barriers of implementing sustainable facilities management practice in higher institutions of learning, and provide a strong basis for empirical research in this area.
The impact of cost overruns and delays in the construction business
Authors: Dlamini M , Cumberlege R
Published: February 2021

The construction industry is negatively affected by cost and time overruns which further negatively impacts the contractual stakeholders. Construction delays and cost overruns are a global phenomenon since one of the major problems in the construction industry involves unexpected incurred costs and late delivery of projects. The success and failure of any project depends upon many factors and the Project Manager is considered to be the key contributor to the success of any project, as well as to guide the team members to achieve the client satisfaction. In addition, the roles, responsibilities, duties, and competencies of Project Managers have a direct impact on successfully completing construction projects on time and within budgeted cost. The study aimed to find the key competency skills that the Project Manager must possess to mitigate time and cost overruns. A quantitative research approach was adopted to determine the key competency skills of a Project Manager with respect to cost and time delays. A web-based questionnaire was published in the Eastern Cape Masters Builders Association (MBA) bulletin aimed at contractors registered with the association. The results revealed that the key competencies required to mitigate for cost overruns are comparable to those required to mitigate against time overruns. The study investigated the need for project managers to better equip themselves with key competency skills to perfom optimally to reduce the occurrence of cost and time delays on construction projects. The aim of this research was to assist Construction Managers to choose the right candidate as a Project Manager. It would also assist inspiring Project Managers to acquire the key competency skills. The paper responds to the conference theme given that the reduction of cost and time overruns promotes the sustainability of the Built Environment.
Impact of the current local spatial development plans on the activity of investor on the Polish residential real estate market
Authors: Leśniak A , Plebankiewicz E , Kozik R , Amanowicz-Marcinkowska K
Published: February 2021

The local spatial development plan is an instrument of spatial policy which aims at shaping spatial order. The local plan includes solutions ensuring protection against emerging pollutants, as well as restoring the environment to its proper condition and setting the conditions for the implementation of projects, enabling optimal effects in the field of environmental protection. Land use and land development should also ensure the preservation of all landscape values as much as possible. When creating and adopting a local spatial development plan, a municipality as a local government unit must take into account both public and private interests. The paper attempts to answer the question whether city planning has an impact on investors’ activity on the real estate market. Four selected cities located in different parts of Poland were analysed. The authors proposed determining the investor activity indicator as a measure of this impact.
Analysis on the Relationship between Farmers’ Ecological Protection Behavior and Well-being in Qinling Region
Authors: Qiu Yutong , Chang Yaoyin , Hou Yilei
Published: February 2021

How to arouse the enthusiasm of farmers for ecological protection is an important issue to coordinate protection and development. Therefore, it is necessary to explore the interactive relationship between farmers’ well-being and cognition, attitude, and behavior of ecological protection. Based on 618 data collected in a survey in The Qinling Mountains in 2018, this study establishes a structural equation model, puts forward and validates theoretical hypotheses about the interaction between farmers’ well-being, protection cognition, protection attitude and protection behavior. The results show that: protection cognition and attitude have a significant positive effect on protection behavior; protective attitude plays a limited mediating role in the path of cognitive influence on behavior, while well-being plays an important role in the path of attitudinal influence on behavior; “living conditions” and “health status” have the greatest impact on the well-being effect. The conclusion is that the well-being effect of farmers with a positive attitude towards protection is usually stronger, and the higher well-being effect has an incentive effect on the ecological protection behavior of farmers.
Cooling the city with “natural wind”: Construction strategy of Urban Ventilation Corridors in China
Authors: Bing Dang , Zhaoyin Yin , Wupeng Du , Xiaoyi Fang , Yonghong Liu , Chen Cheng , Yan Liu
Published: February 2021

“Building urban ventilation corridors” has been written into the overall planning of many cities such as Beijing, but the concept of urban ventilation corridors is not well known yet. Therefore, some misunderstandings were produced such as “Does the construction of urban ventilation corridors require large demolition?” or “Weather it is only be engaged in idle theorizing?”To answer these questions, the existing research results were reviewed and some cases of building urban ventilation corridors in China were analyzed. In this study, some common questions like “What is urban ventilation corridors?” “Why the government need to build it?” “What strategies should be followed?” and “How is the effect?” were answered.
Experimental Study on Photoelectric Cooperative Treatment of RDX Wastewater
Authors: Duan H. X. , Bao L.N. , Zhang W.Z.
Published: February 2021

RDX wastewater is a kind of wastewater containing energetic materials that is difficult to biochemically degrade. It is highly toxic and difficult to treat. In this paper, the synergetic treatment of RDX wastewater by ultraviolet light and three-dimensional electrode method is proposed. The optimum combination of 5mm carbon particles,28W UV lamp and 3cm distance between electrodes was used in the experiment. The optimal experimental conditions were finally determined as follows: pH value is 6.6, carbon particle addition is 7.0g, NaSO4 addition is 6.5g, electrolysis voltage is 7V, and reaction time is 70min. After 7 parallel experiments, the RDX removal effect is stable.
Effect of organic fertilizers on nitrogen and phosphorus runoff in purple soil farmland
Authors: Xia Hongxia , Zhu Qihong , Wang Shumin , Chen Yucheng
Published: February 2021

Fertilizer nutrient loss by surface water contribute to eutrophication becoming one of the international problems. In order to study the effect of application of organic fertilizer on N/P loss in purple soil, an indoor simulating artificial rainfall experiment and in-situ natural rainfall experiment experiment was conducted in Chongqing, southwestern China. The result shows that TN(total nitrogen) loss in the simulation rainfall experiment was in the order of cow dung>compound fertilizer>chemical fertilizer>biogas slurry>oil cake>blank, whereas, TP(total phosphorus) loss was in the order of cow dung>chemical fertilizer>compound fertilizer>oil cake>biogas slurry>blank. TN content form organic fertilizer treated soil in the in-situ runoff test were lower than in chemical fertilizer treated soil at first, whereas the proportion of TN content form organic manure was increase and even higher than that form chemical fertilizer overtime. Grain nitrogen was the dominant nitric species in runoff under 15°, whereas Ammonium nitrogen was the dominant nitric species in runoff under 5°. The slope significant affect grain nitrogen content in runoff, while it has little effect on soluble nitrogen. Soluble phosphorus content in chemical fertilizer treatment was higher than that in organic fertilizers treatments, while particulate phosphorus concentration in chemical fertilizer treatment was lower than that in organic fertilizers treatments. Particulate phosphorus is the main form in runoff simulation, accounting for 50%∼90% of total phosphorus; while soluble phosphorus was the dominant phosphoric species with the slope, rainfall intensity and fertilizer dosage reduced. Rainfall intensity could increase P concentration in runoff. There was a significant positive correlation between the TN and TP concentration in runoff and rain intensity, fertilizer addition level, slope.
Research on harmful substances and air quality control of civil aircraft components
Authors: Xue Jinqiao , Guo Zhongbao , Zhao Dan
Published: February 2021

This article provides an overview of harmful substances within as well as released from common civil aircraft components. The current domestic and foreign controlling status in these fields were compared, as a result, huge blank still need remains to be filled for domestic civil aircraft. Therefore, several assumptions on commanding the harmful substances and air quality of domestic civil aircraft components were proposed. Domestic civil aircraft manufacturer was supposed to establish industry control standards, which should later be implemented to all levels of subordinate suppliers, and strictly gate-keep the quality of components. By taking measures in advances, China is more likely to open a broad international market of exporting domestic civil aircraft.
One-step facile method to prepare Ni/MgO-Al2O3 catalysts via high frequency cold plasma in N2, H2 or N2/H2 atmosphere for CO2 reforming with CH4
Authors: Huang Liqiong , Zhang Zhenghui , Xiang Pengzhi
Published: February 2021

With the increasingly serious situation of air pollution, catalytic conversion has become a hot research direction, and the efforts were focused on the preparation of catalysts greenly and effectively. The catalysts were prepared by plasma-assisted method in our work. Different gases were introduced to the plasma system. The catalyst treated by a mixture of nitrogen and hydrogen plasma (PNH) catalyst behaved badly in activity and coke resistance, but the hydrogen plasma (PH) and nitrogen plasma (PN) samples displayed fine activity. The catalyst treated by nitrogen plasma (PN) exhibited high activity compared to the C sample. The amount of coke over PN sample was less than that of the NMA-PH catalyst. Whereas, the PN catalyst presented as good activity and coke resistance in carbon dioxide reforming with methane as the conventional calcined catalyst.
Occurrence and Health Risk Assessment of Antibiotics in Drinking Water of a City in Southern China
Authors: Liu Lu
Published: February 2021

In recent years, antibiotics have been widely used to treat some human and animal diseases, which due to their large production and usage. The antibiotic pollution in the environment has attracted more and more people’s attention. As a large country in the production and use of antibiotics, antibiotics has been detected in various environmental media in China, even in drinking water. However, drinking water is closely related to the health of residents. It is very necessary to understand the occurrence of antibiotics in drinking water and assess the health risk. Therefore, in this study, taking a city in southern China as an example, it was detected that the concentration of antibiotics in the drinking water was 226.8∼498.1ng/L, and the main pollutants were tetracycline and quinolone antibiotics. The non-carcinogenic risk assessment shows that drinking tap water for residents in this area will not pose a risk to their health.
Study on the coupling mechanism of social interaction and rural tourism practitioners sustainable participation
Authors: Liao Lu , Zeng Liping , Geng Baojiang
Published: February 2021

As a green industry, tourism provides a new path for the green development of rural areas and plays an important role in the development of rural economy and the construction of ecological civilization, the sustainable participation willingness of the practitioners is the primary factor that affects the sustainable development of rural tourism. This paper studies the effect of Social Interaction on sustainable participation of practitioners. Through the empirical analysis, it is found that the interaction between practitioners and tourists, government and neighbours has a significant positive impact on the willingness of practitioners to continue to participate in rural tourism. Practitioners’ satisfaction with local tourism development plays an intermediary role in social interaction behaviour and willingness to participate continuously.
Research on the Reduction Design of Fragile Product Cushion Packaging under the Green Development Concept
Authors: Gao Zhu , Dong Wenping , Xiaomin Ji
Published: February 2021

This article aims to study the reduction design of fragile buffer packaging under the concept of green development. Through the analysis of the advantages and disadvantages of existing cushioning packaging materials, in view of the current situation that corrugated paper cushioning packaging uses a lot of materials, and the cumbersome molding has led to the wide application of plastic packaging materials, the design principle of fragile cushioning packaging under the green development concept is proposed. Taking glass cups as the design object and corrugated paper as packaging materials, three different prototype glass buffer packagings were designed. The reduced-quantity design of corrugated cardboard buffer packaging provides a solution for replacing plastic with paper. From an environmental and economic point of view, reduced-quantity buffer packaging is feasible.
Advances of the total synthesis of morphine in the last decade
Authors: Gao Hui
Published: February 2021

Morphine and its derivatives are widely used analgesic drugs in clinical practice. The exploration and development of morphine synthesis has always been the challenge in organic total synthesis. This paper reviews the several research and development task of total synthesis of morphine since 2010, and discusses the correlation between the yield and the reaction steps, the application of green chemistry and the feasibility of industrialization. It is concluded from the comprehensive discussion that, the synthetic route of morphine proposed by Smith in 2016 is relatively optimized. In order to realize the industrialization of total synthesis of morphine, it’s not only the yield and reaction complexity that requires to be concerned, but designing an environmentally friendly and sustainable development synthetic route also should be noticed, which also have an assignable effect.
Is Ketogenic Diet Good for People?
Authors: Wei Wan
Published: February 2021

The ketogenic diet became quite popular as a treatment option for epilepsy in the 1920s to 1930s. The development of ketogenic diet also provides an alternative to non-mainstream fasting. However, new anticonvulsant therapies have substituted it as therapy for epilepsy. Although many cases of epilepsy could be effectively controlled using medications, unsuccessful epileptic control happened in around 20% to 30% of epileptics. For these individuals, especially children with epilepsy, the diet was re-introduced as a technique for managing the condition. Since the ketogenic diet was famous due to its efficient performance in treating epilepsy, people nowadays start to use this diet to lose weight. Hence, is ketogenic diet good or bad for people? Concerning to public health issue, we review ketogenic diet from perspectives of advantages and potential risk, which can serve as a reference for people who are on attempting a ketogenic diet. Given the obvious positive effects of this diet on effective medical treatment and weight loss, we believe it could have wider application in future. However, it’s suggested for people to make choice with awareness of potential risks of the ketogenic diet.
Research on Investment Evaluation Strategy of Distribution Network Focusing on Efficiency and Benefit
Authors: Xie Guanglong , Wang Xubin , Jin Xiaoling
Published: February 2021

High quality development of distribution network pays more attention to improving investment efficiency and benefit. Distribution network equipments and related data indicators are various, and there are many manual interventions, thus it is difficult to focus on investment efficiency and benefit through information system with direct data acquisition. This paper focuses on the investment efficiency and benefit indicators, and refines key target indicators. On this foundation, the comprehensive evaluation index system of distribution network investment is constructed. The key investment issues can be find out through penetration and correlation analysis, which are verified by selecting typical areas for investment effectiveness analysis. Considering the investment demand and investment capacity as a whole, the regional investment focuses and directions are clarified according to the differentiation level of efficiency and benefit, which can accurately improve the efficiency and benefit of distribution network investment.
Carbon emission calculation of construction machinery during the expressway construction period
Authors: Li Fan , Zhang Ya Qi , Zhu Xi Chao , Xie Xiao Jie
Published: February 2021

Based on the emission coefficient method, this paper constructs the carbon emission calculation model of construction machinery during the construction period of the expressway, and carries out an example analysis of the concrete expressway according to the highway Engineering budget Quota and the bill of quantities. Under the background of green development, it provides a theoretical basis for highway construction to adopt corresponding energy-saving and emission reduction strategies, so as to achieve a win-win situation between economic and social development and ecological environment protection.
Optimal Clearing Model of Centralized Market Considering Path Constraints
Authors: Zheng Zhao , Chen Kening , Jiang Yu , Liu Xuwen
Published: February 2021

China’s electricity market is now still in the mode of “Unified market and two-tier operation” including provincial and inter-provincial market. The inter-provincial market is divided into the medium and long-term market and spot market. This study takes the inter provincial spot market as the research object, and proposes a unified optimization clearing algorithm for inter provincial spot market considering path constraints. The proposed method is able to handle AC-DC hybrid electricity network, and sort and determine the trading pairs using power flow tracing algorithm. The power market software PLEXOS and practical market data are used to simulate the proposed model, and the results show the accuracy and effectiveness.
Experiment study of a hybrid concentrated photovoltaic/thermal(CPV/T) system
Authors: Shunxiang Zhang , Li Peng , Luo Qi , Chen Yuantao
Published: February 2021

In order to improve the efficiency of solar energy utilization, a hybrid concentrated photovoltaic/thermal(CPV/T) system equipped with 750× Fresnel lens and roll-bond heat collector of water-bifurcated channel was proposed. The system produces both electricity and heat performance of the system was tested based on the outdoor measurement in a clear day. The experimental results show that the maximum generating power of the system can reach 3.656KW, with an average generating power of 3.31KW. The total generating energy of the system reached 25.21KWh from 9:00 am to 5:00 pm. The maximum and average electrical efficiency are 25.36% and 24.53%, respectively. The maximum and average thermal efficiency are 63.92% and 58.72%, respectively. The total efficiency can be more than 80%.
The influence of the drilling rate of the raise boring machine on the stability of the surrounding rock of a inclined shaft with large dip angle
Authors: Yingquan LI , Zhaoyang SONG , Guoye JING
Published: February 2021

The drilling method of counter-well drilling rig has become an important construction method for the construction of large inclination Angle pressure pipeline in pumped storage power station. In order to study the effect of the drilling rate on the stability of the surrounding rock of the inclined well. The method of numerical analysis is used to simulate the drilling rate of backwell drilling machine by changing the drilling depth of certain calculation step, and the drilling depth is along the inclined shaft line. The selection of drilling parameters is optimized and the drilling rate of the reverse well rig is determined. The results show that the tunneling rate has a significant influence on the deformation rate of surrounding rock and the change rate of stress gradient in the process of drilling with reverse-well drill. With the increase of drilling rate, the deformation rate and the change rate of stress gradient increase. The variation amplitude of the surrounding rock deformation and stress value at the monitoring point increases first and then decreases, and finally tends to be stable. Under this formation condition and drilling scheme, the deformation of surrounding rocks in wellbore after drilling at the same depth is small, and the effect of stress disturbance is not significant. The maximum deformation of surrounding rocks in inclined Wells is only 0.27mm, and the strong disturbance zone is about 2.0m. Combined with field drilling test results, the optimal drilling rate of reverse well reaming is determined to be 1.2m/h.
Research on Economic Evaluation Method of Urban Distribution Network
Authors: Zhao Mengbi , Gao Zhongfei , Feng Zhiming
Published: February 2021

With the rapid development of urbanization, the economic evaluation method of urban distribution network needs to be reformed. The current evaluation system is not excellent. An economic evaluation method of urban distribution network is proposed in this paper. A new evaluation method combining the equivalent year and the existing value method is studied. The proposed method can better make up for the shortcomings of the two methods. In the end, the feasibility of the method is verified by a case of a certain city.