bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection and Prevention of Cyber Crime Based on Diamond Factor Neural Network
Authors: Li Jin , He Ping
Published: January 2020

The purpose of this paper is to provide a quantitative analysis method for cybercrime research, and also provide a new mathematical research method for network behavior analysis. Firstly, a novel factor space research method is established by using the “medium scale”. On this basis, the concept of factor discovery of cybercrime behavior is proposed, and the corresponding cybercrime behavior analysis model is established, namely the criminal factor neural network. Secondly, the learning mechanism of network behavior neural network is discussed by using the factor discovery principle. At the same time, a network behavior learning algorithm based on diamond thinking is obtained. Finally, factor discovery thought, factor neural network learning system are applied to the research of cybercrime model analysis and prevention strategy to provide guiding decision support and problem solution for public security departments.
Human Posture Recognition in Intelligent Healthcare
Authors: Yang Xinyue , Ren Xiaoyang , Chen Meng , Wang Luqi , Ding Yuhao
Published: January 2020

With the rapid growth of medical technology, intelligent healthcare has gradually integrated into our lives, and its core technology is the human body motion state detection. According to the basic tools being used, we divide this technology into two categories: vision-based detection and sensor-based detection, and take the fall monitoring as an example for elaboration. Finally, different methods are compared and analyzed, the difficulties that need to be solved in this field are summarized, the future trends are included too.
Research on Online Learning Resource Recommendation Method Based on Wide & Deep and Elmo Model
Authors: Liu Jie , Zhang Hong , Liu Zihui
Published: January 2020

In order to improve the accuracy of online learning platform recommendation for learner learning resources and to alleviate the cold start problem, this paper proposes an online learning resource recommendation method based on Wide&Deep and Elmo model. The method uses the real learning data set of a university network and educational learning platform, and uses Wide&Deep to deeply explore the deep features of learner characteristics and course content features under the condition of high-dimensional data sparseness, that is, automatic learning combination features, the learner-course feature vector is constructed as the input of the recommendation algorithm. In addition, for the learner’s text feature, it will use the ELMo language model to pre-train the feature vector to improve the recommendation accuracy.

CCS Concepts

•Computing methodologies➝Cognitive science • Theory of computation➝Online learning algorithms
Analysis of Initial Value Effect of Differential Chaotic Shift Keying Communication System
Authors: Tao Sui , Hao Wang , Fanna Zeng , Yongxin Feng , Qiang Jiang
Published: January 2020

Chaotic signals have many unique properties, chaotic digital modulation technology has many advantages over traditional digital modulation technology, so it has good application value in the field of information security. In order to analyze the differential chaotic shift keying technology more comprehensively, based on the research of the DCSK, FM-DCSK and RM-DCSK differential chaotic shift keying techniques, the MATLAB simulation platform is used to simulate the balance of the different sequences and the initial values of different chaotic keying systems are used to simulate the error performance of different systems. The experimental results show that the peak of the balance of chaotic map may lead to the peak value of the system error rate. Therefore, the peak point should be avoided when the initial value of the sequence is selected. Different digital modulation techniques and chaotic mapping systems have their own characteristics, and when the reasonable parameters are selected according to the characteristics, the system performance can be optimized.
Simulation of Multiple Scattering of THz Wave Propagation in Sandstorm
Authors: Hongxia Wang , Honghui Sun , Xuanke Zhao , Xiaofang Shen , Lianfen Wang , Yunfang Zhao
Published: January 2020

Terahertz wave has important application prospects in communication, but its transmission in the atmosphere will be affected by the atmospheric environment. Based on Mie scattering theory and Monte Carlo method, the attenuation characteristics of THz wave multiple scattering caused by dust storms in Tengger desert are studied in this paper. The relationship between the attenuation rate and visibility and frequency of THz wave are obtained by calculation. The results show that the multiple scattering of THz wave in sandstorm is very significant. There is a big error in the calculation of attenuation rate based on single scattering. The difference between the two methods decreases with the increase of visibility. The attenuation rate of THz wave varies with the frequency in the sandstorm. When the frequency of THz wave is less than 2.4 THz, its attenuation rate increases with the increase of frequency, and when the frequency is more than 2.8 THz, its attenuation rate decreases with the increase of frequency.
Research on Strategies to Improve Service Quality of College Teacher Development Center in the Age of “Internet +”
Authors: Wang Lei
Published: January 2020

Against the backdrop of integration of big data and Internet technologies with higher education, higher education reforms have raised standards for teachers’ teaching ability and information literacy, hence higher standards for the service quality of college teacher development centers. In this context, this paper analyzes the service quality and problems of private college teacher development centers in the system of “Internet + training”, constructs the service quality gap model of the college teacher development center, and explores the causes for poor service quality in the training process. At last, according to the causes, this paper builds the data platform, develops the training teams (program development team and technical support team), relies the virtual community of “E-home of college teacher development”, optimizes the training mode to propose the strategies to improve private college teacher development center in the age of “Internet+”.
Research on User Experience of VR Games Based on ISM Theory
Authors: Feng Yu-Liang , Chen Chun-chin , Wu Shu-Ming
Published: January 2020

This paper explores the starting point of VR (virtual reality) game experience by 5 “W” of care (What, Why, Who, Where and When), uses STEEP method to analyze the problems in different aspects of the user experience, and invites two senior people to evaluate 11 important factors. Then, the factor relationship hierarchy analysis graph is obtained with the ISM theoretical operation, and the VR game users’ problems and goals that urgently need to change are obtained. The main issue in the research is that the quality of the game story determines the experience of the users, and the side issues are the sound effect, art effect, and special effect.
Analysis of the Influence of Mass Media on Music Communication Based on Digital Conditions
Authors: Kong Wenting
Published: January 2020

Based on digital conditions, mass media as a carrier enters people’s field of vision and has an important impact on music communication. With the continuous development of the media industry, the relationship between mass media and music art has become extremely complex, and has an impact on the production, dissemination and popularity of music art. This paper mainly discusses the role of mass media and the influence of mass media on music communication, and analyzes the path of mass media to spread music.
Travel Attractions Recommendation based on Max-negative the Gated Recurrent Unit trajectory mining Representation
Authors: Zhang Shunyao , Yochum Phatpicha , Bin Chenzhong , Chang Liang
Published: January 2020

Although the traditional recommendation algorithm has achieved good results in the field of travel recommendation, due to the lack of data, the cold start and data sparseness problems and the neglect of the semantic problems hidden in the travel track, the low recommendation accuracy remains unresolved. Recently, the RNN model performed very well in recommending system sequence learning. We use RNN to model the travel sequence in the travel recommendation. In the pairwise, we can achieve a more accurate recommendation by effectively processing the negative samples and then training to generate a smaller loss function. Our method (Max-GRU) is optimized by adding additional negative sample and finding Max-negative on the Gated Recurrent Unit trajectory mining Representation Model. On the Shanghai tourism data and Guilin tourism data, both MRR@10 and RECALL@10 have been significantly improved compared to the use of the RNN model and baselines.
Identification of Tomato Diseases using Skip-gram and LSTM Based on QA(Question-Answer) System
Authors: Hang Xiao , Gao Hongju , Jia Shaopeng
Published: January 2020

In the field of agricultural information processing, automatic identification and diagnosis of common diseases of tomatoes play an important role. Deep learning is a hot research topic in the field of pattern recognition and machine learning. It can effectively solve some problems of vegetable pathology, such as disease identification, automatic control and production prediction. In this paper, the tomato pest and disease experiments were carried out with natural language data set of 1.12G pathological and healthy tomatoes crawled from Doctors of Agriculture Website as source data. Five common tomato diseases’ symptoms were identified by training Skip-gram algorithm. Finally, symptoms identified above can be classified using LSTM algorithm with classifiers. The research shows that the tomato pest and disease corpus identification models based on LSTM algorithm with classifiers achieve an average accuracy which are over 60%. The simulation results of tomato diseases identification show feasibility and effectiveness of the methods. This article aims at integrating our methodology into working systems that can be used in the identification fields.
Research on Financial Portfolio Analysis in the New Era
Authors: Yu Jiang Nan
Published: January 2020

Financial investment is a unique form of investment. It must have an orderly and standardized institutional framework so that the innovation, development and improvement of the financial system can be the rules of conduct. This paper focuses on the unique investment mode of financial investment, and discusses the main characteristics of financial investment in detail, and then derives the prototype of financial investment theory. At the same time, it analyzes the function of financial investment from three aspects, and provides a powerful financial investment for the new era.
Research on the Construction of Army Command System Based on “Cloud Top”
Authors: Wang Jian , Wei Wei
Published: January 2020

With the development of information technology, combat mode tents to be intelligent. As the most complex and pluralistic military force, the Army has higher requirements for its command system which must have the characteristics of parallel,efficient and real-time. The traditional command system can no longer meet the requirements of future operational command. This paper though researches Construction of Operational Command Architecture Based on “Cloud Top” and Technical System of Army Command System to provide some reference for the Army to gain command superiority.
Inflation persistence investigation of china based on quantile autoregressive model
Authors: Qiu Dan , Gbolonyo Patrick Kweku , Zhang Xiuqi , Yang Xiaorong
Published: January 2020

It has been noted that high inflation has a significant threat to many countries developments and the persistence of inflation increases the cost of monetary policy in controlling inflation. Therefore, this paper proposes a unique method to estimate inflation persistence by using quantile autoregressive (QAR) model and to show how various shocks may affect the rate of inflation within different quantile levels. Based on the QAR model, the monthly inflation persistence in China and its dynamics over time are considered in the paper. The data illustrated here are the monthly year-on-year Chinese consumer price index from January 1987 to May 2019. The results indicate that the Chinese inflation series is globally stationary, but exhibits non-stationary behavior in about 44.85% of the observations. Again, it is evidence that the Chinese inflation rate has asymmetric characteristics at different quantile levels in its conditional distribution. Our research indicates that the QAR model outperforms the ordinary least square (OLS) method in terms of heterogeneity association of the inflation dynamics.
An Improved Frequent Pattern Growth Based Approach to Intrusion Detection System Alert Aggregation
Authors: Sun Yuxi , Chen Xiaomei
Published: January 2020

This paper introduces different approaches to intrusion detection system (IDS) alert aggregation and proposes an improved frequent pattern growth (FP-growth) algorithm for it. This approach can be divided into three parts, which are removal of noisy data, mining association rules and text similarity check. According to the experiment on Snort alarm dataset provided by an enterprise, all the association rules found by the proposed approach are valid. Therefore, compared with FP-growth algorithm, the proposed approach can increase the precision of the result and is useful for alert aggregation.
Student Network Behavior Analysis and Relevance Research Based on Optimal Decision Tree Algorithms
Authors: Han Geng
Published: January 2020

Based on the optimal decision tree algorithm, this paper proposes a student network behavior analysis model. Through training and predicting the academic performance of Beihang Grade 2013 undergraduates, it is found that students’ online behavior has a profound impact on students’ academic performance. To maintain a good learning state, students must strictly limit the time spent on the Internet in idle time, effectively control the time spent on the internet, and ensure that their daily sleep is not affected by the Internet behavior. The regularity of students’ life is positively correlated with their achievement ranking.
Research on Quality Analysis Model of Additional Comments Based on Text Analysis
Authors: Dong Yali , Wang Suyang , Ye Shixuan
Published: January 2020

Based on the idea of text analysis, this study analyzes the relevance of text topics, the emotional consistency of fist comments and additional comments, and the information contained in the text, then get out of the online quality assessment model. The calculation results can reflect the quality of additional comments, helping consumers and businesses to identify important information and make correct judgments.
Research on Lean Analysis Algorithm for Equipment Centralized Monitoring in Big Data Era
Authors: Chen Tan , yong Wang , Xiaomin Lu , Jiang Wu , Guangcheng Zhang , Ziwei Bai
Published: January 2020

The equipment monitoring brought by the smart grid big data is difficult to effectively supervise the operation status of the whole network substation, and the typical defects (familial defects) are difficult to classify and locate. This paper proposes the substation operation state evaluation algorithm and typical defect classification algorithm. The operating state evaluation algorithm of the substation is based on different operation data generated by the substation. By normalizing the data of different dimensions, the substation is divided into different operating state levels. The typical defect classification algorithm establishes and maintains the historical experience database, and calculates the conditional probability of each information item to realize the correlation between the signal and the defect, and finally judge whether the signal is from a typical defect. These two algorithms are effective means for equipment monitoring professionals to realize intelligent supervision of substations and equipment in the era of big data.
Bivariate matrix-valued Newton-Thiele-type mixed rational interpolants
Authors: Dongyin Wang , Youtian Tao , Xiangguo Liu
Published: January 2020

By means of Newton’s difference quotient and Thiele type continued fraction combined with the generalized inverse matrix, we present a kind of bivariate matrix-valued blending difference quotient. On this basis, we construct the bivariate Newton-Thiele type rational interpolants and give its iterative algorithm.
A Multipitch Tracking Algorithm Based on Wavelet Packet Analysis
Authors: Liting Chen , Weiping Hu , Jialing Mo , Yixuan Zhang
Published: January 2020

In view of the limitation of many multipitch detection methods in single-channel speech, a robust and accurate multipitch estimation method for multiple voices is processed. In this study, our approach is based on the spectral analysis of the wavelet packet analysis. It utilizes the quasi-periodicity in a short time frame of speech, and gets candidate pitche in every frame by using peak selection and searching algorithm. The multipitch envelope of the mixed signal is obtained by neighborhood analysis and determined from these candidates by virtue of the fact that pitch should change rather smoothly in consecutive frame. Simulation results showed that the proposed method can robustly estimate fundamental frequency for mixed speech from single-channel speech.
Analysising the influence factors of single task pricing based on public packet system: An Empirical Study in China
Authors: Sun Jiang-Jie , Ping-Wang  , Du Ya-Nan , Jun-Liu
Published: January 2020

This study takes single task pricing as an example, analyzes the key factors of task pricing and constructs an index model of single task pricing through the data of 835 task cases. Through the empirical analysis of the new pricing model, we draw the conclusion: the new pricing model reduces the cost of the task and increases the completion rate. It has a certain guiding significance for the development and management of the public crowdsourcing platforms.
Rolling bearing diagnosis method based on WMKPCA-LSTM network
Authors: Cui Bo , Chu Jizheng , Cao Ning
Published: January 2020

The monitoring data from large machinery have characteristics of high dimensions, non-linearity and correlation. In the traditional fault diagnosis, it is hard to extract features and complex to build the model. In order to solve these problems, the rolling bearing diagnosis method based on a weighted mixed kernel principal component analysis (WMKPCA) and long-short-term memory (LSTM) network is proposed. The method uses WMKPCA algorithm to reduce the dimensionality of the vibration signal. The method not only effectively reduces the correlation of the original data, but also improve the diagnostic accuracy; The LSTM neural network has a memory function that can be used to extract temporal features. Experimental results show that the proposed algorithm has higher diagnostic accuracy and higher efficiency than traditional methods of principal component analysis (PCA), kernel principal component analysis (KPCA) and multiway kernel principal component analysis (MKPCA).
Looking at the Demand of Bank Big Data Talents from the Perspective of Big Data
Authors: Wei Wei
Published: January 2020

Big data is the foundation of artificial intelligence. In the financial field, as a very large and very convenient field for applying big data, there has been a lot of research on big data and artificial intelligence. From intelligent customer service to smart investment consultants to smart counters and unmanned banks, the penetration speed of big data and artificial intelligence in the financial field has reached an unimaginable level. We use big data to make money, and we use big data to understand the dynamics and trends of the bank. This article uses the reptile software Octopus to analyse the recruitment data of Zhonggong Financial Online to understand the needs of banks for big data talents, to explore its real dynamics and implementation in artificial intelligence, financial technology and big data.
Medical insurance participation and the ageing population subjective well-being: an empirical analysis based on CGSS 2015 data
Authors: Li Minya
Published: January 2020

Using the Chinese General Social Survey (CGSS 2015) data, the current research is to examine the relationship between medical insurance and subjective well-being for elderly people in China. To test our hypothesis, we first generated and tested an ordered probit model, as the dependent variable in our research is subjective well-being, additionally, as in China we have different medical insurance types, we integrated them and classified them as social basic medical insurance, and commercial medical insurance. Also, as the causal identification problem and endogenous problem exist, we introduced another main dependent variable as the individual’s social security satisfaction in our research. The implications derived from this study are summarized as conclusions.
Application Research of Face Recognition Technology in Smart Campus
Authors: Zhou Xiang
Published: January 2020

Promoting the degree of campus informationization has become an important part of the construction of smart campus. Face recognition, with its uniqueness and lifelong invariance, has natural security advantages and practical advantages in the application of smart campus, but it also has the disadvantages of high equipment cost and data leakage risk. The face recognition technology can be used to build safe educational environment, create convenient business processes and develop personalized technology service in the construction of smart campus. This paper designs and implements a dormitory management system based on face recognition. The test results show that the use of face recognition technology as a source of information collection for people entering and leaving dormitory area greatly improves the management efficiency and ensures the accuracy and reliability. The application of face recognition in campus management system will break the traditional mode of teachers and students’ work and life, and become an important part of smart campus.
Research on TV imaging casing damage detection and classification method based on C4.5 decision tree
Authors: Cuan Ying , Wang Zeshang , Han Jiaxin
Published: January 2020

The casing damage is one of the important problems in oilfield development. The television imaging technology can get enough images of the inner wall of casing to detect the casing, but the efficiency of manually identifying the images is very low. Through the mapping relationship between image and casing damage type, the image features can be obtained. Then, the continuous data threshold selection of C4.5 decision tree algorithm is improved. Finally, the improved C4.5 decision tree algorithm is used to classify casing damage types. Experimental results show that the detection and classification method proposed in this paper can be well implemented.
Research of the Effect of Nanopowder Additives on Some Main Properties of Lubricants
Authors: Gavrish V , Chayka T , Baranov G
Published: January 2020

The possibility of improving the basic properties of a lubricating composition based on Litol 24 lubricant, by adding nanopowders (molybdenum, tungsten carbide, tungsten) obtained from their carbide wastes, has been considered. The structure of nanopowders has been studied. Their X-ray spectrum analysis was carried out It has been shown that the addition of a molybdenum nanomodifier to the base lubricant mixture results in improved tribotechnical properties. The optimal concentration of molybdenum nanopowder was determined to be 0.1 wt%. Also paper contains results of operational tests of lubricant composition. The resulting lubricant composition may be a competitive product in the lubricant market
On the Possibility of Microbiological Leaching of Molybdenum
Authors: Gavrish V M , Chayka T V , Nichkova L A , Shagova Y O
Published: January 2020

The paper presents studies of the use of the biological leaching method for the processing of molybdenum-containing alloys (production waste). As a result, we can obtain economically viable and environmentally safe technology for the processing of molybdenum-containing wastes.
Consistent Patterns of Change in Energetic and Fabrication Characteristics of Arcing in Inert Gas Mixtures
Authors: Krasikov P P , Savinov A V , Polesskiy O A , Chudin A A , Lysak V I
Published: January 2020

The influence of the shielding gas composition and the non-consumable electrode construction on the total and effective efficiency of welding was studied. It was found that value total efficiency is at minimum at 25 % helium content and is increasing with the He concentration growth in the gas mixture. The alteration of arc force impact on the welded metal depending on the current rate, shielding gas composition and cathode processing history was demonstrated. It was found that the arcs with a focused cathode spot feature higher value of the integral forced impact on the welded metal, comparing to the arcs with a diffuse cathode spot, regardless the shielding gas composition.
The Magnetic Isotopes Effect of Magnesium 25Mg on the Physiological Properties of Bacteria E. coli
Authors: Letuta U G , Tikhonova T A
Published: January 2020

Magnetic isotope effects of magnesium 25Mg on antibiotic resistance and biofilm formation of bacteria E. coli were discovered. The increase in antibiotic resistance in the presence of the ion 25Mg2+ was registered for E. coli cells incubated with quinolones, indicating the inhibiting effect of the magnetic moments of nuclei 25Mg on deoxyribonucleic acid (DNA) synthesis. It was discovered that the process of biofilm formation by the bacteria E. coli is magnetosensitive. Magnetic magnesium isotope presence in nutrient media stimulated formation of biofilm compared with nonmagnetic isotopes 24, 26Mg. As e result the enrichment of media by magnetic magnesium can be used to control the physiological properties of bacteria: biofilm formation and antibiotic resistance.
Ensuring sustainable rural development
Authors: Bukhtiyarova T I , Demyanov D G , Tenetko A A , Nemykina Yu S
Published: January 2020

Working out new management decisions for ensuring rural areas development, standards of life quality and livelihoods of the population is one of the priorities of state impact on the production and social development of rural areas. The study presents the principal directions of theoretical and methodological background for assessing and forecasting the effective development of territorial socio-economic systems of rural areas. The authors outline the target of the production and social infrastructure functioning, local government and civil society institutions activities, and social responsibility of business. As a tool for assessing rural territories sustainable development, the authors propose the following approaches: indicative, institutional, economic-legal, functional, system-functional, synergistic, resource-functional, and criterial. The indicative management of rural development is a system of relations based on indicators of innovative, investment and motivational activities of agriculture and its social environment.
Priority directions of labor market development in rural areas of Uzbekistan
Authors: Maksumhanova Azizahon M , Saidova Madina Kh , Shafkarov Bahrom X
Published: January 2020

This article highlights the socio-economic importance of the labour market in rural areas. The aim of the research is to study the current state of labour resources and employment of the rural population, to identify the impact of various forms of agriculture on employment, to develop proposals and recommendations for the development of the labour market. The article also identifies promising ways of development of small and private entrepreneurship in rural areas and employment. Scientifically grounded practical recommendations on improvement of the state regulation of the labour market and employment in the village have been developed.
Carbon-removing ability of fir plantations of the Krasnoyarsk Territory forest-steppe zone
Authors: Sul’tson S M , Mihajlov P V , Shevelev S L , Romanova L I , Vorob’eva I A
Published: January 2020

Forest ecosystems play a global role in carbon sequestration and emission processes on a planetary scale. The topic of the functional ecological role of forests is urgent due to the problem of climate warming and an increase in the level of carbon dioxide concentration in the atmosphere. Currently, a differentiated (regional) approach to assessing the biological productivity of stands and their carbon-removing ability is important, which allows a detailed approach to organizing monitoring of the ecological balance and using the resource potential of forest ecosystems of a certain territory. The aim of this work was to assess the carbon-removing ability of modal stands of Siberian fir based on the study of the dynamics of the fractional composition of phytomass in the process of planting development. The studies were conducted in the conditions of the Central Siberian subtaiga forest-steppe region of the Krasnoyarsk Territory (the territory of the Bolshemurtinsky forestry). The object of research was fir stands of the third class bonitet. In the work, materials were used for eye-tracking taxation of 456 sections. The dynamics of the fractional composition was calculated using the conversion-volumetric method (Ph/M conversion) on the basis of the developed table of the growth course, followed by the conversion of the studied fir plantations to the carbon reserves deposited by the tree layer.
The influence of field crop rotation on the accumulation of stubble and root residues in the arable layer of sod-podzolic soil
Authors: Zamyatin S A , Efimova A Yu , Apaeva N N
Published: January 2020

The purpose of the work is to conduct a comparative assessment of the amount of smelted plant residues in various field crop rotations in the conditions of the Mari El Republic. The work was completed in 2013-2018 on a stationary site in a two-factor experiment. The first factor is types of crop rotation and crop rotation. Four crop rotation with a different set of crops. Cereal crops occupy 83% in the first. The share of cereals was 67% in the second and third. Cereals occupy 50% and perennial grasses and potatoes 50% in the fourth crop rotation. The second factor is mineral fertilizers: 1) without fertilizers: 2) N60P60K60. On average, 3.02 ± 0.06 t / ha of stubble and root residues was received per year according to the results of studies in the control grain-grass crop rotation with a one-year use of clover. There are no perennial herbs, but there are potatoes in the first fruit-bearing. Here, plant residues entered the soil by 41% less than in the first crop rotation. The accumulation of stubble and root residues was 2.91 ± 0.07 t / ha in the second crop rotation. The decrease is due to the cultivation of potatoes, which does not leave plant residues after harvesting. The largest number of stubble and root residues was formed in the third crop rotation (3.37 ± 0.07 t / ha). The use of mineral fertilizers increased the mass of stubble and root residues in all crop rotations by 0.16 t/ha.
Decontamination of grain by ultrasound
Authors: Rudik F Ya , Morgunova N L , Krasnikova E S
Published: January 2020

The article considers the method of grain processing in the medium of an anolyte, produced at the STEL type plant, with subsequent washing and drying to a humidity of not more than 14%. Decontamination of grain was carried out by ultrasound of low frequencies 24-26 kHz with ultrasound intensity no more than 1 W/cm2. The method provides a reduction in the content of mold fungi in the grain, prevents the development of mycotoxins in it, reduces contamination with mineral impurities and insect pest.
Agricultural production planning taking into account the factor of “location” of producers
Authors: Askarova A A , Girfanova I N , Nigmatullina G R
Published: January 2020

With transition to market economy for the majority of agroformations there was a problem which level of development does not correspond to its theoretical and practical importance in relation to modern conditions, it is a problem of efficiency of expenses for production of agricultural production in borders of separate rural territories. In the conditions when the formation of prices for products occurs according to the laws of the global market, the economic efficiency of its production is determined primarily by the specific production costs. The latter are caused not only by soil and climatic potential of economic entities, but also to a large extent by their geographical location and economic conditions. In other words, the cost and profitability of agricultural products vary in individual rural areas, not only in accordance with the yield, but also depending on the factors of “location” of producers, which, in turn, under the influence of the same natural conditions.
The study of biologically active substances of blue honeysuckle (Lonicera caerulea L.) leaves
Authors: Krotova I V , Demina L N , Zhdanova P A , Osmolovskaya N A , Shchitnikov A S
Published: January 2020

The article presents the results of studying the chemical composition of the leaves of blue honeysuckle, naturally growing in the southern taiga of the Krasnoyarsk Territory. It was found that along with fiber and lignin, the studied biomass contains a significant amount (about 70 wt. %) of extractive substances. Using fractional extraction with solvents of increasing polarity, it was possible to extract from the studied raw materials 9.5 wt.% of substances soluble in non-polar solvents and about 60 wt.% of compounds soluble in isopropanol and water. A spectrophotometric study showed the presence in the leaves of blue honeysuckle (Lonicera caerulea L.) such classes of biologically active compounds that provide a wide range of pharmacological action of the plant, such as chlorophyll-containing derivatives, a complex of bioflavonoids, carbohydrate components, anthocyanins, tannins, organic acids and others. This circumstance opens up broad prospects for the practical usage of the biomass under study in the production of food additives, pharmaceutical and perfumery and cosmetic preparations.
Strategic prospects of the Krasnoyarsk territory agro-industrial complex in the market of oilseeds and vegetable oils
Authors: Chepeleva K V , Shmeleva Zh N
Published: January 2020

The article presents the research results on the domestic market of oilseeds and products of their processing, the prospects for the market development and its diversification. The conjuncture of the vegetable oil market in the Russian Federation and the Krasnoyarsk territory is analyzed. The guidelines for the development of the industry in terms of building up non-oil export potential of the region are formed on its basis. Special attention is paid to the analysis of market opportunities for export activities in the market of oilseeds and vegetable oils in the Krasnoyarsk territory. Promising areas of the Krasnoyarsk territory for the production of oilseeds are identified. In practical terms, the research results are the analytical basis for making strategic decisions in the development of long-term programs for the development of agriculture in the region.
The analysis of earthquake precursors in variations of TEC in the ionosphere and the subsequent impact on the environment
Authors: Denisenko A , Zeng Z
Published: January 2020

Ionospheric storms are general perturbations of the upper atmosphere which affect space- and ground-based technological systems. These storms are triggered by an increased flux of energetic electrons that are released by the Sun. Extreme solar activity may originate from Coronal Mass Ejections (CME) and solar flares that may result in ionospheric storms. The ionospheric anomalies usually happen in D-layer, E-layer and F-layer. They may be observed from 1 to 10 days prior to the earthquake and stay until 1 to 2 days after the earthquake. Comparatively the ionospheric precursors, the geomagnetic indices Dst, Kp and AE-indexes have been selected for pre-earthquake disturbed states. In the present study we are taking into account the existence of correlational changes in the ionosphere before strong earthquakes triggered by geomagnetic storms and we consider the subsequent impact on the environment. The statistical analysis presents the ionospheric precursors during geomagnetic storm conditions which occurred during March 2018 and correlated with them strong earthquakes.
Organizational and legal security provision of the agricultural sector in modern conditions
Authors: Safronov V V , Shapovalova T I , Petrova G I , Babaeva A A , Kubrikova A S
Published: January 2020

A brief description of the agro-industrial complex is given as one of the largest sectors of the economy, the state and dynamics of the reproduction processes of which ensure social stability in society, the competitiveness of agricultural products on the world stage, and the achievement of food security. The role of the agro-industrial complex, as an element of Russia’s national security, is revealed. The need to develop a concept for ensuring the organizational and legal security of the agro-industrial complex, taking into account the specifics of agricultural relations is reflected. The basic concepts concerning the essence of legal security and its role in the system of national interests, the terminological apparatus describing the state and transformation of the legal security system due to destabilizing factors are considered.
Agrotourism as a factor of sustainable rural development
Authors: Evgrafova L V , Ismailova A Z , Kalinichev VL
Published: January 2020

The article substantiates a new integrated approach to the development of rural tourism, contributing to the sustainable development of rural areas. The authors analyze the strengths and weaknesses of the further development of agritourism, as well as opportunities and threats. Using a common indicator of the joint development of agriculture and rural tourism, the researchers assessed the opportunities for sustainable development of rural areas in Russia. As a result of research, the authors proposed a concept for the development of agritourism in Russia.
Comparative evaluation of the economic efficiency of the rapeseed cultivation by the traditional method and using the principles of organic production
Authors: Oleynikova E N , Yanova M A , Sharopatova A V , Grishina I I
Published: January 2020

The possibility of applying the principles of organic farming in the cultivation of spring rape is considered in the article. The adoption of the Federal law “On organic products and on amendments to certain legislative acts of the Russian Federation” contributed to the creation of an effective mechanism for the production and sale of organic products in accordance with international standards and the orientation of the export potential of culture not only to the APEC countries, but also to the EU countries. Based on the analysis of the existing legislation in the field of organic production of agricultural crops and the used technologies, as well as taking into account the requirements for organic production and products, production and auxiliary processes of organic agricultural production in the cultivation of spring rape were developed. The agrotechnological plan of spring rape cultivation on organic technology in the conditions of Krasnoyarsk territory was developed, and then technological maps of production of oilseeds on traditional technology and organic were developed. The comparative evaluation of two technologies was carried out; economic indicators of efficiency are calculated. The calculations showed that due to the increase in the number of seeding-down treatments, the cost of production by organic technology is 8.4% higher than in technologies with the use of chemical means of protection. Due to the high selling price, which is more by 14.9 %, the profitability of rapeseed production by organic technology increased by 16% compared to traditional.
The determination of the rate of heat release in the diesel cylinder taking into account the change in the composition of the working substance
Authors: Likhanov V A , Kozlov A N , Araslanov M I , Galtseva O V
Published: January 2020

The thermodynamic efficiency of the cycle of the internal combustion engine and its efficiency are related to the law of supply of heat to the working fluid. The characteristics of heat release allow us to evaluate and improve the combustion process from the point of view of the thermodynamic efficiency of the cycle, from thermodynamic positions. To optimize the combustion process in compression-ignition engines, including when working on unconventional fuels, it is necessary to develop an algorithm for determining the rate of heat release, taking into account the current composition of the working fluid, since when working on fuels with a changed chemical composition, the ratio of gases in the combustion products can significantly change. The type of heat dissipation characteristic is determined by the regularities of the combustion of fuel in the cylinder e and the law of displacement of the piston and depends, inter alia, on the composition of the working fluid, which continuously changes during combustion of diesel fuel, increasing volume and mass. Existing methods for calculating the heat dissipation characteristics consider a working body consisting of two components - a fresh charge and combustion products. Such an approach reduces the accuracy of calculations when determining the heat input from the diesel fuel indicator chart operating on fuels with modified chemical composition or on non-traditional fuels, since it does not take into account the change in the heat capacity and internal energy of the combustion products. In this article, a mathematical model to compute the heat dissipation in the cylinder of a diesel engine when operating on diesel fuel for the changes in the working fluid composition. The presented results of calculations for a diesel engine of 2CH10.5/12.0 when operating on diesel fuel at the nominal operating mode correspond to the results of the determination of the integral and differential heat dissipation rate obtained by the well known CNIDI method.
Management of digital technology development in the national economy
Authors: Bryukhovetskaya S V , Artamonova K A , Gibadullin A A , Ilminskaya S A , Kurbonova Z M
Published: January 2020

The article is devoted to managing the development of digital technologies in the national economy. The analysis carried out in the study showed that the Russian Federation ranks 23 out of 32 in the digital economy development index, however, Russian companies and the economy do not intend to stop and a number of industrial enterprises are ready to invest tens and hundreds of millions of rubles in digitalization in the coming years. The work identified obstacles and risks of transition to the digital economy associated with the lack of necessary infrastructure, knowledge, state support, financial resources, cyber security risks and other factors. As a result, the study proposed a model of factors affecting the development of the digital economy, the management of which will ensure a qualitative and quantitative transition to innovative and digital technologies. In conclusion, the study presents the main findings and results of the work.
Chemical and microbiological characteristics of the agrolandscape Zeya-Bureya plain small river
Authors: Pakusina A P , Tsarkova M F , Platonova T P , Kolesnikova T P
Published: January 2020

The article discusses the results of hydrochemical and microbiological studies of the waters of the small river Arguzikha, the left-bank tributary of the Amur River. The natural landscapes of the Zeya-Bureya plain, along the territory of which a small river flows, are transformed into agrolandscapes. Organic matter, nitrogen and phosphorus compounds accumulated in the waters of the Arguzikha river. The number of heterotrophic bacteria, the main function of which is the destruction of organic matter, in the summer reached 75 thousand cells / ml, which corresponded to the dirty water quality class. The content of nitrogen compounds in water and the number of ammonium-oxidizing bacteria experienced seasonal dynamics. The obtained results of the study of hydrochemical and microbiological indicators of aquatic ecosystems of the Zeya-Bureya plain are the basis for further study of the technogenic load on small rivers of the agrolandscape.
Mathematical modeling of the interaction of magnetic fields of red blood cells
Authors: Kopyltsov A V
Published: January 2020

The article discusses the movement of red blood cells along narrow capillaries with a diameter less than the diameter of the red blood cell. The erythrocyte membrane in the narrow capillary performs a tank-treating motion with a frequency reaching several tens of revolutions per second. Electric charges located on the surface of an erythrocyte move together with the erythrocyte membrane and create a magnetic field in the surrounding space. A two-dimensional model of the movement of red blood cells along narrow capillaries is developed. Various options were considered: either neighboring red blood cells rotate in one direction, or in different directions. With different options, different distributions of the magnetic field strength are obtained. Calculations of the magnetic field were carried out at various distances between red blood cells and the speed of rotation of the erythrocyte membrane. It was shown that at distances between red blood cells less than two capillary diameters, the influence of neighboring red blood cells can be neglected (the difference is less than 3%).
Effect of organic biological additives on the morphology of the digestive tract in quails
Authors: Khatsaeva R M
Published: January 2020

Using morphology and light microscopy, this work shows the positive effect of application of hydroponically grown wheat and an aqueous solution of astragalus as biological food additives on the development of the digestive system: muscular and glandular stomachs in Texas Pharaoh quails (Coturnix). Quails were divided into two groups (control and experimental) of 60 heads each. During the study, both groups were subject to identical keeping and feeding conditions in accordance with the established standards. Hydroponically grown wheat and an aqueous solution of astragalus were added to the diet of the experimental quail group. The data analysis conducted for the control and experimental quail groups using histology, morphometry and light microscopy made it possible to identify common patterns of the organization and development of morphofunctional structures of muscular and glandular stomachs and special aspects expressed in their more intensive development in the experimental group. The research data show that the use of hydroponically grown wheat and a solution of astragalus as organic bioadditives for stimulating the growth and development of production traits in quails and other birds is safe and acceptable. The obtained research data are of both practical and theoretical importance in implementing food programs and ensuring their reliability.
Mathematical model of glass crushing in the jet mill
Authors: Fedorova S V
Published: January 2020

Environmental management and environmental protection require waste recycling and industrial circulation of substances that does not violate the ecological balance and will be beneficial for the national economy. Thus, the development of a non-waste technology for glass production, research on recycling, industrial glass production waste and optimization of technological regimes for glass production waste processing are promising for manufacturing marketable products.