bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of H2O on the vibrational populations of CO2 in a CO2/H2O microwave plasma: a kinetic modelling investigation
Authors: Verheyen C , Silva T , Guerra V , Bogaerts A 
Published: July 2020

Abstract
Plasma has been studied for several years to convert CO2 into value-added products. If CO2 could be converted in the presence of H2O as a cheap H-source for making syngas and oxygenates, it would mimic natural photosynthesis. However, CO2/H2O plasmas have not yet been extensively studied, not by experiments, and certainly not computationally. Therefore, we present here a kinetic modelling study to obtain a greater understanding of the vibrational kinetics of a CO2/H2O microwave plasma. For this purpose, we first created an electron impact cross section set for H2O, using a swarm-derived method. We added the new cross section set and CO2/H2O-related chemistry to a pure CO2 model. While it was expected that H2O addition mainly causes quenching of the CO2 asymmetric mode vibrational levels due to the additional CO2/H2O vibrational-translational relaxation, our model shows that the modifications in the vibrational kinetics are mainly induced by the strong electron dissociative attachment to H2O molecules, causing a reduction in electron density, and the corresponding changes in the input of energy into the CO2 vibrational levels by electron impact processes.
Optical imaging of antiferromagnetic domains in ultrathin CoO(001) films
Authors: Xu Jia , Chen Haoran , Zhou Chao , Shi Dong , Chen Gong , Wu Yizheng 
Published: July 2020

Abstract
Antiferromagnetic (AFM) domains in ultrathin CoO(001) films are imaged by a wide-field optical microscopy using magneto-optical birefringence effect. The magnetic origin of observed optical contrast is confirmed by the spin orientation manipulation through exchange coupling in Fe/CoO(001) bilayer. The finite size effect of ordering temperature for ultrathin single crystal CoO film is revealed by the thickness and temperature dependent measurement of birefringence contrast. The magneto-optical birefringence effect is found to strongly depend on the photon energy of incident light, and a surprising large polarization rotation angle up to 168.5 mdeg is obtained from a 4.6 nm CoO film with a blue light source, making it possible to further investigate the evolution of AFM domains in AFM ultrathin film under external field.
A review of edible insect industrialization: scales of production and implications for sustainability
Authors: Wade MacKenzie , Hoelle Jeffrey 
Published: July 2020

Abstract
Edible insects have emerged in the past decade as a sustainable alternative to agro-industrial production systems and livestock-based diets. Despite the expansion of the market and increases in academic publications, a review of the rapidly changing field of edible insect research has yet to be published. Here we present a comprehensive and systematic review of the research on edible insect industrialization, the mass rearing of insects for human consumption, published in the year 2018. Our review provides an overview of the edible insect industry, as the field becomes more industrialized, and research addresses health, safety, and other concerns of consumers and legislators. This review provides an understanding of the scales of edible insect industrialization from (a) the microbiological level of insect rearing, to (b) the external production factors within rearing facilities, (c) the development of insect products, (d) consumer acceptance of industrially reared insects, and (e) social and moral concerns with the industry. We contextualize reviewed works in relation to earlier and subsequent publications on edible insects, providing a view of the bigger picture as insect-based products are poised to become more widely available to global consumers. Overall, this review provides an overview of the edible insect industry for environmental researchers and policymakers interested in the linkages between food, agriculture, and climate change, as well as recent progress, remaining challenges, and trade-offs of an industry with potential to contribute to more sustainable diets.
Digital environment of vocational education in the Russian Federation
Authors: Beskrovnaya V , Fedorova O , Freidkina E 
Published: July 2020

Abstract
The article presents the formation of a digital educational environment for vocational education in the Russian Federation. Particular attention is paid to pedagogical approaches, the architecture of the digital educational environment, the experience of the St. Petersburg State University of Industrial Technologies and Design in the field of its use for training forest industry.
Issues of satellite images decoding in modern development of forest management
Authors: Galiullin I R , Glushko S G , Khamitova S M , Pestovskiy A S , Fedchenko E I , Ivanova M A 
Published: July 2020

Abstract
The processes of natural overgrowing of poorly used lands have led to the formation of a significant amount of unaccounted forest resources. As a result of a survey of the territory adjacent to the city of Kazan, we have identified numerous land plots that are uncontrollably overgrown with forests, an example of such a plot is given. Accounting for all areas covered by forest vegetation will significantly increase the forest cover of the Republic of Tatarstan. Using modern methods of “contour decoding” of satellite images allows us to identify almost all areas covered by forest vegetation, significantly increasing the efficiency of the use of forest resources. Using the methods of the so-called “taxation (estimated) decryption” of satellite images allows us to assess the features of the dynamics of modern forests. An assessment of the species composition and origin of forests using remote sensing methods, including based on the results of decoding satellite images, gives an idea of the distribution of derivative forests in the region. Forest inventory allows not only to keep a record of the forest fund, but also to assess the resources of forest biota in regional fragments of the biosphere, as well as identify the main trends in forest dynamics.
Mathematical methods for the evaluation of lands of forest fund
Authors: Kovyazin V , Kitcenko A 
Published: July 2020

Abstract
The article provides an overview of various methods for assessing the forest fund infrastructure during cadastral valuation, including a couple of possible methods of mathematical modeling, with the help of which it is possible to assess the impact of the forest fund infrastructure on the cadastral value, as well as the advantages and disadvantages of these methods.
Monitoring of Forest Land Cover Change in Binh Chau - Phuoc Buu Nature Reserve in Vietnam Using Remote Sensing Methods and GIS techniques
Authors: Kovyazin V F , Demidova P M , Lan Anh Dang Thi , Hung Dang Viet , Quyet Nguyen Van 
Published: July 2020

Abstract
Binh Chau - Phuoc Buu Nature Reserve is located in the tropical rainforest zone of southeast Vietnam. For monitoring purposes of forest land cover change in Reserve satellite images (Landsat 5, Landsat 7 and Sentinel-2A) taken in 1988, 2003 and 2019 were used. NDVI was used for the estimation of vegetation quality. Forest land cover were classified by 5 categories using maximum likelihood classifier algorithm in ENVI 5.3. After classification, differentiation of forest land cover was analysed on every image. The results confirm that the area of meadows and shrubs increased from 16.3% in 1988 to 19.1% in 2019, and conversely, the area of broad-leaved forests decreased from 80.7% to 77.3%. Thus, there is a general degradation of forest vegetation.
Problems and prospects of digitalization and informatization of forest education in Russia
Authors: Lobovikov M , Pryadilina N 
Published: July 2020

Abstract
Digital technologies are rapidly invading all spheres of life of modern society. Education is no exception. On the contrary, education is becoming one of the main subjects and beneficiaries of digitalization in the broad sense of the word, often in the most unexpected areas of knowledge obtaining, mastering and applying.
Results of application of 3D technologies for modelling the terrain of cutting areas in the North-Western Federal district of the Russian Federation
Authors: Svoykin F , Bazarov A , Soloviev A , Bazarova M , Bazarov F 
Published: July 2020

Abstract
The article discusses the use of 3D technologies for modeling the terrain of cutting areas in the North-Western Federal district of the Russian Federation. The technique of obtaining three-dimensional terrain maps, the translation of laid out maps into a vector format using Autodesk 3ds Max® software and the Terrain® tool is described. The preparation of the created 3D models for processing by a CNC milling machine using the ArtCam® software (ASCII STL text file format) is presented. The results of milling processing of the surface of the frame are presented.
The use of digital pedagogic in forest related higher education in Vietnam
Authors: Tereshchenko S , Thuy Tran Thi Thanh , Nga Tran Thi Thanh , Nha Nguyen Xuan 
Published: July 2020

Abstract
The article is devoted to the study of the application in practice of the digital pedagogic in the forest higher education in Vietnam. In the article, the problems of higher forest education development in Vietnam are considered. The problems associated with the organization of an effective training process for the forest sector specialists have been highlighted. The urgency of raising the qualification and competence of specialists of the forest industry by using innovative teaching methods in training is justified. Possibilities of the use of distance education technologies for the training of students and the improvement of professional skills of workers of the enterprises of the forest sector are considered.
Mobile learning in forestry education
Authors: Tereshchenko S , Zagorskaya M , Polyanskaya O , Bobritskaya Ju 
Published: July 2020

Abstract
In the article the experience of using mobile learning in forest education is considered. It examines the phenomenon of mobile pedagogy, mobile learning, describes structure of mobile teaching. The application of mobile pedagogy in learning in forest education is described. The attitude to the using of mobile pedagogic in forest high education of teachers and students is shown. Different mobile applications that can be used in the educational process are described. The experience of implementation of methods of mobile pedagogic in forest higher education in Saint-Petersburg State Forest Technical University is shown. The importance of using mobile pedagogic in nowadays education is stressed, because such innovational approaches may allow raising the students’ motivation for learning. Possibilities for the development of mobile pedagogic in forest high education are shown.
Using of digital methods for personnel training in Vietnamese forest sector
Authors: Tien Trinh Viet 
Published: July 2020

Abstract
The relevance of this article is due to the importance of forest resources for each state, since they play a special role in development from economic, environmental and social point of view. This statement is also relevant for Vietnam because forests of the country are rich in resources and preserve rich biological diversity. However, improper forest management leads to deforestation and forest cutting. The aim of the article is a theoretical justification for the need to improve the Vietnamese forest management system by training personnel using digital methods of education. The validity of the results and recommendations is ensured by the integrated application of general scientific methods, such as dialectical means of cognition, a systematic approach, structural and functional analysis methods, systematization and generalization, the principles of formal logic, the presentation of tabular material, etc. The result of the study is a suggestion to create a system of digital forest pedagogic for personnel training in forest management in Vietnam. The created system will allow minimizing the influence of the negative factors on the development of Vietnamese forest management. It is substantiated that many problems can be solved through training by using digital methods of education.
The effect of meteorological factors on the formation of the anatomical structure of Pinetum sylvestris myrtilloso-tufosum on a drained peatland
Authors: Zaytsev D A , Chudakov A V , Danilov D A , Belyaeva N V 
Published: July 2020

Abstract
This paper investigated wood structure formation of pure pine stands (Pinus sylvestris L.) depending on meteorological indicators. Influence of average temperature and sum of precipitation on wood structure at the level of annual growth and at the level of xylem cellular structure is presented. Three series of experimental objects in the boreal zone of the European part of Russia was observed: naturally formed mature stands, plots passed by thinning, plots passed by thinning with the fertilizers application. It is shown that fluctuations of average temperature have a more significant role in the formation of the zone of early wood than late wood. Statistical analysis has determined that the effect of average temperature and precipitation factors on the formation of macrostructure elements of wood is higher in the naturally formed stands, than in the stands that have been treated. It was identified that thinning and application of fertilizers increase the role of meteorological factors influence on changes in the number of xylem cells in annual growth. At the same time, the size of xylem cells and the thickness of cell walls are in a more significant correlation with weather factors in stands unaffected by treating.
Automatization of forest ecosystems sustainability estimation based on complex modelling and Earth observation data
Authors: Zelentsov V , Brovkina O , Pimanov I , Potryasaev S 
Published: July 2020

AbstractThe paper considers methods and information technologies for full automatization of forest ecosystems sustainability estimation. Analysis of forest ecosystem sustainability is explored as a multi-objective problem with applying a complex of models for calculating partial indicators of sustainability. Earth observation (EO) data is used as an essential component of information support for estimating forest ecosystems sustainability indicators. Methodological framework of automatization consists of complex modelling, application of models qualimetry methods for selecting specific calculation models, and methods for multi-criteria analysis to estimate generalized indicators of sustainability. A software architecture is proposed in order to implement procedures of complex modelling with integrated processing EO and field data.
Study on the Spatio-temporal Differences of Water Pollution in Shandong Province from 2010 to 2017
Authors: Wang Xiaowei 
Published: July 2020

Abstract
Water is the source of life. Water is not only the main component of the body, but also many physiological functions. Water resources are the basic resources and basic conditions on which humans depend. This paper uses the data of Shandong Statistical Yearbook (2011-2019) and ArcGIS spatial analysis technology to study the spatial and temporal distribution pattern of water pollution in Shandong Province from the perspective of wastewater. The results show that the wastewater discharge from 2010 to 2017 shows an overall upward and downward trend. In 2015, compared with 2010, the wastewater discharge increased by a net increase of 113.158 million tons, with an average annual increase rate of 5.22%. In 2015, the amount of wastewater discharged was reduced by 50.346 million tons, with an average annual decline rate of 4.58%. From the time distribution characteristics of water pollution in Shandong Province, the wastewater discharge in Weifang, Qingdao, and Jining accounts for 29.20% of the province’s wastewater discharge. The water pollution in the central region is more serious, showing a heavy-light pollution distribution. At present, lightly polluted flower arrangement enclaves appear. From the perspective of the spatial distribution characteristics of water pollution in Shandong Province, the gaps between severe water pollution conditions in different cities have gone from increasing to decreasing. The water pollution situation in the province is obvious, the distribution of cold and hot spots is obvious, and Qingdao is a waste water discharge hot spot (Z = 2.24> 2.0), Weihai is a cold spot area for wastewater discharge (z = -1.11 <-1.0).
Study on Sludge Characteristics of Lead and Zinc Smelting Acid and Sewage
Authors: Zhang Hua 
Published: July 2020

Abstract
Taking the lead and zinc smelting acid and sewage as the research object, the indicators of sludge moisture content, leaching concentration, corrosivity, phase, chemical composition, soluble salt dissolution rate were tested. The lead and zinc smelting acid and sewage was dried to different temperature, then the leaching toxicity and corrosivity of the original samples were measured, and the arsenic and selenium of the sludge was analyzed by the effects of leaching toxicity and corrosivity at different temperatures. The conclusions show that when lead and zinc sludge were mixed, with the temperature of 160 °C, the leaching concentrations of arsenic and selenium are lower than the leaching toxicity standard, and the pH value is between 2.5-12.5, which is lower than the corrosive standard.
Advances in bioremediation of cadmium-contaminated soils
Authors: Wang Xinshuai , Yu Guo , Lin Hua , Jiang Pingping , Zhang Yan , Liu Yan , Wang Ziwei 
Published: July 2020

Abstract
Cadmium not only threatens the normal growth of plants, but also causes serious harm to human health through the food chain. In order to reduce the impact of cadmium pollution on the ecological environment, contaminated soil must be treated. This paper summarizes the current situation of soil Cd pollution in China, the main areas and sources of Cd pollution. We also analyze the characteristics of soil Cd pollution, introduces and reviews the physical and chemical technology, bioremediation technology, ecological remediation and combined remediation technology currently used to treat soil Cd pollution, in order to provide scientific reference for further research in this field.
Research on Obstacle Avoidance of Autonomous Underwater Vehicle in Virtual Environment
Authors: Li Yixin , Zhang Minge 
Published: July 2020

Abstract
With the continuous development and progress of science and technology, the use of virtual environment technology to simulate obstacle avoidance of autonomous underwater vehicles has gradually become a mainstream trend. For this reason, a new type of system has been developed, that is, a visual simulation system for obstacle avoidance of autonomous underwater vehicles. This article analyzed the overall structure of the visual simulation system for AUV obstacle avoidance and the simulation method in the virtual environment, utilized Multigen Creator to conduct AUV modeling, and then used Vega software to establish a three-dimensional ocean scene and set the corresponding target points and object obstacles. Through simulation, it was found that the currently established virtual obstacle avoidance system was very similar to the real environment, and could accurately simulate the underwater obstacle avoidance movement of the vehicle. In the whole process, it could give full play to the function of obstacle avoidance algorithm to the greatest extent, and really provide a certain reference for the obstacle avoidance of related vehicles.
Research on spillover effect of industrial agglomeration and haze pollution in China
Authors: Cao Xiaoxi , Zhao Hong , Ma Tao 
Published: July 2020

Abstract
Based on the samples of 31 provinces (cities, autonomous regions) in China from 2000 to 2016, this paper studies the correlation and spillover of industrial agglomeration and haze pollution. The results show that: (1) the spillover effect of industrial agglomeration and haze pollution is obvious. Haze pollution is mainly high-high agglomeration and low low-low agglomeration, showing stability. (2) Haze pollution is also more serious in areas with high industrial concentration, and the two show correlation and consistency. Based on this, This paper suggests that the complementary mechanism of haze prevention and control should be improved to better strengthen regional cooperation and achieve the best effect of coordinated management of regional joint prevention and control.
Air Quality Prediction Based on Neural Network Model of Long Short-term Memory
Authors: Du Zhehua , Lin Xin 
Published: July 2020

Abstract
Air pollution is a serious environmental problem, which has caused more and more concern all over the world. At present, research focuses on air quality prediction, usually using the following two methods: deterministic method and statistical method. Due to the unreliability of pollutant emission data and incomplete theoretical basis, the prediction accuracy of simulation results of these two methods is low, and these methods do not take into account the problem of time loss. In order to solve the problems of low prediction accuracy, low efficiency, and missing time factors in current air quality prediction research, a simple air quality prediction method LSTM neural network model is proposed. According to the characteristics of time series, the problem of multiple input time variables can be well solved. The datasets in two cities respectively prove that LSTM neural network model can effectively improve the accuracy of air quality prediction. The model can also be used to predict other multivariable input time series. Although air quality prediction based on LSTM presented in this paper has achieved the expected goal, there is still room for improvement in considering both spatial correlation and temporal dimension.
Summary of Flue Gas Purification and Treatment Technology for Domestic Waste Incineration
Authors: Li Hao-Ming , Zhang Ning , Guo Xuan , Dou Ming-Yuan , Feng Qing , Zou Shuai , Huang Fu-Chuan 
Published: July 2020

Abstract
Incineration technology is widely used in the world as a domestic waste treatment technology. The reason is that the incineration technology can reduce the weight of the treated domestic waste by 80% and the capacity by more than 90%, which is of great significance to the realization of the management goal of domestic waste treatment. However, the problem of flue gas pollution will occur when the waste incineration technology is used to treat the waste. The main harmful substances in the flue gas generated by waste incineration include: smoke, dioxin, SO2, NOx, heavy metal and other pollutants. Therefore, the flue gas can only be discharged into the atmosphere after proper technical treatment and meeting the national emission standards. This paper summarizes the domestic and foreign technologies of waste incineration flue gas purification and treatment, and puts forward suggestions for the development of domestic waste incineration flue gas purification and treatment technology.
Summary of the treatment technology of heavy metals in livestock and poultry breeding waste
Authors: Li Hao-Ming , Zhang Ning , Guo Xuan , Dou Ming-Yuan , Feng Qing , Zou Shuai , Huang Fu-Chuan 
Published: July 2020

Abstract
With the intensive and large-scale development of livestock and poultry breeding industry in China, the amount of livestock and poultry waste is increasing year by year, and the environmental pollution caused by it is increasingly serious. There are a lot of heavy metals in livestock and poultry waste, which not only cause serious pollution to the environment, but also reduce the safety of agricultural products, and pose a threat to human health. Therefore, the livestock and poultry waste must be treated by appropriate technology, after removing heavy metals, it can be used as a resource in the future. This paper summarizes the technologies of heavy metal treatment of livestock and poultry waste, and puts forward suggestions for the development of heavy metal treatment technology of livestock and poultry waste.