bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Transverse Restraint System of Cable-stayed Bridge under Ultra High Performance Concrete Deck Pavement
Authors: Zhou M , Liu Y , Gao M , Zhu GQ 
Published: January 2022

Abstract
In order to explore the optimal lateral restraint system for long-span cable-stayed bridges under ultra-high performance concrete deck pavement. This paper takes a UHPC deck pavement cable-stayed bridge as an example, selects four different lateral restraint systems, calculates the stress of each key section of the cable-stayed bridge under the action of an earthquake, and then selects the optimal lateral Constraint system. The research results show that when ultra-high performance concrete is used as the bridge deck pavement, the increase in the quality of the bridge deck system will have a greater adverse effect on the seismic performance of the bridge. Compare the internal force response and displacement response at each key section of the bridge under four different lateral restraint systems under earthquake action. Compared with the other three systems, the internal force response and displacement response value of the horizontal cable system is smaller, and the energy dissipation and shock absorption effect is better. For cable-stayed bridges using ultra-high performance concrete as the deck pavement, in the selection of the lateral restraint system, a restraint system of cables is set between the towers and beams, which can better reduce the impact of the increase in the quality of the bridge deck on the seismic performance of the bridge, is the most reasonable horizontal restraint method. Considering the internal force and displacement response of the bridge structure and the safety of the support under the earthquake, the parameter selection of the cable support is k = 135000 kN / m and S = 0.4 m.
Structural Reliability Analysis of a Beam with Different Distributed Variables Via Stochastic Reduced Basis Method
Authors: Li YJ , Huang B , Pei HY 
Published: January 2022

Abstract
In this paper, the reliability of a random beam structure with different distributed variables is calculated, and the scope of application of the stochastic reduced basis methods (SRBMs) method is expanded. With the help of stochastic Krylov subspace, the undetermined coefficients of the response expression under static force can be obtained. Then using Galerkin projection technology to obtain the final expression of the random response expression. Furthermore, an example is investigated in order to demonstrate the precision of the method, the results show that this method has high calculation accuracy comparing with direct Monte Carlo simulation.
Experimental study on atomization quality characteristics in mixed fracture Breakup regime
Authors: Liu WR , Ji C , Liu YJ 
Published: January 2022

Abstract
In order to accurately analyze the secondary atomization phenomenon during fire-fighting jets, in this paper, the acceleration, deformation and breakup of droplets after secondary atomization are studied experimentally, and the characteristics of droplets after secondary atomization are studied. The critical flow rate of secondary water atomization was obtained. By analyzing the relationship between the factors affecting the secondary atomization characteristics and the number of atomized particles in the mixed crushing mode, the results show that the breaking angle decreases first and then increases with the increase of the we number; When 45 < we <60; the breaking angle is less than the average level, and the instantaneous breaking velocity decreases; The bag diameter before bag-like breaking generally decreases with the increase of the number of broken particles. The relationship between the characteristic quantity of atomization quality and the we number provides an experimental research basis for improving the fire extinguishing efficiency.
Research on Bearing Capacity and Ductility of CFSST with Stiffeners
Authors: Sun YY , Wang ZB , Xu J , Sun CZ 
Published: January 2022

Abstract
In order to investigate the bearing capacity and ductility of concrete-filled square steel tubular (CFSST) with longitudinal stiffeners in condition of instant steel ratio, six specimens, including 1 CFSST, 3 CFSST with single stiffener and 2 CFSST with double stiffeners, were fabricated and tested. And the FEM was established and simulated by ANSYS. The experimental result showed that when the height-thickness ratio of stiffeners was increased, the bearing capacity would be generally decreased but the ductility could be improved. Besides, the specimens performed identical mechanical characteristics while the thickness of steel was the same. And the results of FEM were basically identical to the experiments. Finally, the confinement ξ played a key role to predict the bearing capacity.
Correlation Analysis between Meteorological Factors and Pollutants Based on Copula Theory
Authors: Wang Qian , Li Xiuhua 
Published: January 2022

Abstract
In recent years, the continuous acceleration of industrial and agricultural production has aggravated the deterioration of the environment and seriously affected people’s health. Gas pollutant index has become an important indicator to measure air quality. Taking a region of China as the study subject, this paper firstly uses the monitoring data of air pollutants in 5 years and meteorological data (rainfall, temperature and wind speed) of meteorological observation stations in the same period. Then, the autocorrelation function is selected to analyze the autocorrelation of pollutants, and on this basis, the significant correlation level between meteorological factors and pollutants is analyzed by Copula theory. The results show that the ACF values of pollutants are all higher than 0.6, which means that the autocorrelation of pollutants within 2 hours is relatively significant. PM2.5 has a significant negative correlation with wind speed in four seasons, but a low correlation with rainfall. SO2 is negatively correlated with most of the three meteorological factors. In addition, the study also finds that there are significant differences in the impact of meteorological factors on pollutants at different time scales. This paper proposes a correlation analysis method between meteorological factors and pollutants, which provides corresponding support and guarantee for China’s economic and environmental protection policies.
Physical and mechanical parameters of the soil and yield of tubers of food potato depending on the spacing width
Authors: Starovoitov V I , Starovoitova O A , Manokhina A A 
Published: January 2022

Abstract
For food potato, one of the important factors in the quality of tubers is the low content of solanine in tubers, determined visually by the presence of green tubers. The purpose of the research was to improve the physical and mechanical parameters of the habitat of potato plants, increase the yield of tubers and reduce the number of green tubers with an increased solanine content during growth by increasing the width of row spacing. The research was carried out in the Moscow region. The main production method for reducing the greening of tubers (increasing the solanine content in tubers) was chosen to grow potato for food purposes in wide ridges or rows chequerwise (110 +30) and (120+30) cm. With such placement, not only a more uniform maintenance of optimal moisture, density, hardness and temperature of the soil is ensured, but also the soil layer around the tuber nest is retained to ensure a decrease in the number of green tubers by 4.4…6.5%. As a result, the cultivation of potato in rows allowed to increase the commercial yield by 1.2…5.5 t/ha (9…19%).
Directions and prospects of sustainable development of the national accounting and analytical system of agricultural formations
Authors: Babanskaya A S , Kolomeeva E S , Migunov R A , Telegina Zh A , Grudneva A A 
Published: January 2022

Abstract
In the course of the research, the concept of an accounting and analytical system and its structure are considered. The trends and parameters of the sustainable development of individual elements of the accounting and analytical system are highlighted. The analysis of the current state and assessment of trends in the development of agricultural formations is carried out. It is established that the key direction of the development of agricultural formations, affecting their accounting and analytical system, is associated with the digitalization of production and economic processes. The influence of certain types of technologies on the accounting and analytical system is described. The directions and prospects of sustainable development of the national accounting and analytical system of agricultural formations in terms of information, accounting, analytical and control subsystem are highlighted.
Improving the patency of sprinkler machines on moistened soil on the basis of experimental and theoretical studies of the system “irrigation rate-soil-sprinkler machine”
Authors: Zhuravleva L A , Popkov I A 
Published: January 2022

Abstract
A feature of the work of wide-reach sprinkler machines is that the supporting surface when moving is moistened, and waterlogged soils in case of significant irrigation rates. At the same time, the wheeled running systems themselves are not well adapted to moving on waterlogged soils, water-saturated, low-bearing soils. The reliability of the sprinkler machines with an increase in irrigation rates is significantly reduced due to a decrease in their patency and forced downtime. The aim of the study was to increase the patency of sprinkler machines on moistened soil on the basis of experimental and theoretical studies of the system “irrigation rate – soil – sprinkler machine”. On the basis of the conducted studies, the regularities of track formation after the passage of wide-reach sprinkler machines of circular action were revealed. The model of interaction of the wheel with the soil is presented. The dependences of the depth and width of the track on the bearing capacity of the soil and the distance from the main support for sprinkler machines with rigid wheels of the “Fregat” type and pneumatic wheels of the “Kuban-LK1M” (KASCAD) sprinkler machine, “Kuban-LK1” MDEK 212 and “KASCAD” DM type are obtained. The conducted studies allowed to determine the optimal ratio of the pipeline diameter, span width and type of running systems, depending on the load-bearing capacity of the soil.
Quality of poultry meat as a basis of export potential of the meat products
Authors: Lupenko Yu O , Kopytets N Hr , Voloshyn V M , Varchenko O M , Tkachenko K O 
Published: January 2022

Abstract
The purpose of the article was to study the quality as a basis for the export potential of Ukrainian meat products and to determine the conditions for its improvement. The following methods were used: abstract-logical; monographic; comparative analysis; statistical; tabular. The results of the research show that the problem of quality assurance of both agricultural products in general and poultry meat in particular is most relevant in both domestic and foreign markets. It covers all participants in the food chain “production-processing-sale-consumption”. Product quality is the main factor in the stable development of production and ensures the export of domestic products. It is established that the production of poultry meat in Ukraine fully meets domestic demand and has reserves for export. It is substantiated that the recognition and provision of competitive advantages in the international and domestic markets can be achieved only by those enterprises that implement international standards of product quality and safety, constantly upgrade technological equipment, introduce new technologies and have highly qualified personnel, create their own feed and raw materials processing.
Improvement of business processes of subjects of the agro-industrial complex through a digital platform
Authors: Musina D , Yangirov A , Kharitonov S 
Published: January 2022

Abstract
This article presents the results of a research. It is aimed to investigate the business processes of the key participants of the projected digital platform of the agroindustrial complex. Moreover, the authors assess the potential for their optimization during the transition to the application of a digital communication platform. The techniques of analysis and synthesis, system and process approaches, and the IDEF3 method are used. The authors have previously formed ontological and cognitive models of the agro-industrial complex. This paper verifies the research hypothesis concerning the possibility of improving individual business processes of management entities while applying the tools of a digital communication platform. In order to do this, business processes are displayed on the example of a manufacturer of agricultural products in animal husbandry. We have identified a number of business processes in the category of providing, which can be improved with the use of a digital industry platform of the agro-industrial complex.
Effects of protein-in-oil emulsion on the physicochemical and sensory properties of the pâté
Authors: Zinina O , Vishnyakova E , Neverova O , Aleksandrina E , Kanev P 
Published: January 2022

Abstract
The effects of adding protein-in-oil emulsion (POE) with biotechnologically processed by-products, sunflower oil and various types of flour – oat, chickpeas and corn flour – to pâté, were investigated. Physicochemical and sensory properties in samples of pâté prepared with the addition of 30, 40 and 50% POE, were determined. Samples with 30% of protein-in-oil emulsion based on chickpea flour or 40% of protein-in-oil emulsion based on oat flour had optimal sensory properties. The protein content of the pâté samples varied from 14.6 to 16.4%, fat content – from 13.6 to 16.7%, moisture content – from 58.7 to 65.3%. The trend of a decrease in protein and moisture content and an increase in fat content with increasing the protein-in-oil emulsion in the formulation of pâté was noted. According to the results of the research, the authors recommend introducing 30% of protein-in-oil emulsion based on chickpea flour or 40% of protein-in-oil emulsion based on oat flour into pâté. The use of by-products in the form of the protein-in-oil emulsion with sunflower oil and various types of flour allows for the production of the pâtés with good consumer properties and that makes rational use of raw materials.
Application of LAI and NDVI to model soybean yield in the regions of the Russian Far East
Authors: Dubrovin K N , Stepanov A S , Aseeva T A 
Published: January 2022

Abstract
Soybean yield modeling using remote sensing is an essential task in the south of the Russian Far East and makes it possible to plan sowing areas at the municipal level. This article presents a comparative assessment of the regression models’ accuracy, where the seasonal maxima of the LAI (Leaf Area Index) and NDVI (Normal Difference Vegetation Index), as well as the number of growing days (days with an average daily air temperature above 10°C), were considered as predictors. For four districts of the Amur Region and the Jewish Autonomous Region, MODIS (Moderate-resolution Imaging Spectroradiometer) data obtained from the arable land mask were used, using the Vega-Science web service, as well as soybean yield in 2010-2017. It was found that the maximum values of LAI and NDVI fall on weeks 31 to 33, which corresponds to the first half of August. In 2010-2017, the LAI-based models’ MAPE (Mean Absolute Percentage Error) was in the range 4.1 – 9.0%, and the RMSE (Root Mean Squared Error) was 0.06 to 0.13 t/ha. The corresponding errors of the regression model with NDVI were quite similar: MAPE 4.8 to 10.4%, RMSE 0.06 to 0.15 t/ha. This approach was evaluated with a ‘leave-one-year-out’ cross-validation procedure. There were no significant differences in the forecast error (APE) when using LAI and NDVI; at the same time, it was found that the quality of the regression model in the Tambovskiy and Oktyabrskiy districts is higher than in the Leninskiy and Mikhailovskiy districts. The median APE for Tambovskiy district was 7.2% for LAI and 8.8% for NDVI, for Oktyabrskiy the corresponding figures were 7.5% and 6.1%, for Leninskiy – 14.2% and 13.7%, and for Mikhailovskiy – 10.8% and 12.3%, respectively.
Pilot study findings of the vibration cleaning process of honeycombs
Authors: Shemyakin A V , Borychev S N , Kashirin D D , Uspensky I A , Pavlov V V 
Published: January 2022

Abstract
The paper outlines the technique and shows the findings of a multifactorial study. It is connected with the working process of a vibrating unit designed for the non-destructive removal of organic components, mainly beebread, from honeycombs. The honeycombs should be cleaned from the beebread prior to their reheating (in case of their rejection), or for reuse as nest-based honeycomb frames. The aim of the experiment described in the paper is to establish the influence of the main operating parameters of vibration cleaning of honeycombs such as the frequency and amplitude of vibration on the productivity of the workflow. The study was performed on a specially manufactured laboratory unit consisting of a shaking table, controls, measuring devices and sensors. The specific feature of the conducted study is the uneven intensity of beebread extraction from honeycomb cells during the working cycle, which should be considered during the experiment.
The potency of bacterial field isolates for zearalenone and aflatoxin B1 detoxification in contaminated crop-origin raw material
Authors: Khabirova S R , Idiyatov I I , Shuralev E A 
Published: January 2022

Abstract
Some of saprophytic bacteria are able to inhibit the biosynthesis of mycotoxins, to regulate the spread of microscopic fungi and have prospects of use for preventing contamination of crop-origin raw material by mycotoxins. According to the results of our study we conclude that bacterial field isolates SB10, SB16 and SB20 have the potency to suppress the production of both aflatoxin B1 and zearalenone. Optimal application amount of the culture medium containing 1 × 1010 CFU/mL of bacteria was 5 mL per 1 kg of grain, contaminated with fungi that produce these mycotoxins. However, some of the bacteria-antagonists can also have a negative effect on the processed substrate, and it is necessary to take into account when using the product for the purpose of detoxification.
Diagnostics of plum resistance to the combined effects of drought and hyperthermia
Authors: Prudnikov Pavel 
Published: January 2022

Abstract
The article considers the possibility of diagnosing the stability of fruit crops under the combined action of hyperthermia and drought. The objects of the study were isolated leaves of Prúnus doméstica L. of FSBSI VNIISPK breeding varieties. The purpose of the work was to assess the resistance of plum varieties to the combined effects of drought and hyperthermia on the basis of physiological and biochemical resistance markers. The products of peroxidation of membrane lipids, free proline, hydrogen peroxide and catalase activity were determined. It is shown that after the action of the stresses used in the varieties Nezhenka and Orlovsky souvenir, the accumulation of malondialdehyde and lipid hydroperoxides was significantly lower by 23.0…24.6% and 15.6…16.3% than in the varieties Skoroplodnaya and Krasa Orlovschiny by 42.1…52.3% and 36.6…41.2%, respectively. It was shown that against the background of the action of stressors, the varieties Nezhenka and Skoroplodnaya were characterized by a high degree of intensification of the antioxidant enzyme catalase and a moderate increase in hydrogen peroxide in the leaves. Thus, a slight increase in the intensity of lipid peroxidation in the Nezhenka and Orlovsky souvenir varieties in comparison with the Krasa Orlovschiny and Skoroplodnaya indicates the presence of physiological and biochemical resistance to the action of the stress factors used.
Biometric indicators of corn and basic tillage systems
Authors: Mnatsakanyan A A , Chuvarleeva G V , Bykov O B , Volkova A S 
Published: January 2022

Abstract
Studies on the influence of basic tillage systems on changes in soil fertility and biometric indicators of cultivated crops have been conducted at the Federal State Budgetary Scientific Institution “National Grain Center named after P. P. Lukyanenko” in the experimental fields of the Agriculture laboratory since 2008. The article presents part of the studies for the period from 2018 to 2020, during which it was determined that the minimum mulching basic tillage system with decompaction is not inferior in agronomic efficiency to the traditional system. Observations of the growth and development of corn for grain showed the priority of this tillage. The grain yield obtained over the years of research (2018-2020) on decompaction technology was formed at the level of traditional tillage (conditionally accepted as control) and amounted to 55.9 c/ha, significantly exceeding the minimum by 2.2 c/ha, while having a high content of crude protein in the grain - 11.2%.
Modeling of the cottage cheese products composition
Authors: Neverova O , Koshchaev A , Gorelik O , Sharaviev P , Neverova E 
Published: January 2022

Abstract
Combined food products provide the human body with all the necessary nutrients in a balanced amount. The paper presents a technique for modeling the formulation of semi-finished products from cottage cheese using the Excel program. The main components of semi-finished products are: cottage cheese of 5% fat content, flour from unsteamed buckwheat, egg melange. The goal of modeling was to obtain the optimal ratio of the components of the formulation, which meets the established requirements for indicators of nutritional value, as well as the recommended intake of vitamins and minerals for the adult population. The goal function has selected the cost of the product for which the condition for obtaining the minimum value is set. As a result of the search for a solution, the program proposed several options for formulations, of which the most acceptable was selected. Thus, we can conclude that it is advisable to apply mathematical modeling methods to obtain a combined product with specified nutritional value indicators.
Cereal fungal diseases detection using autoencoders
Authors: Arinicheva I V , Arinichev I V , Darmilova Z D 
Published: January 2022

Abstract
According to the data of the Food and Agriculture Organization of the United Nations (FAO), diseases and pests destroy 20-40% of the world’s agricultural crops. At the same time, fungal diseases cause enormous economic damage. Farmers suffer significant financial losses every year due to fungal diseases. It is very important accurately and at an early stage to identify the symptoms of the disease in order to take the necessary measures to combat it in a timely manner. Symptoms of fungal diseases often appear in the form of spots around the infected areas, so the initial detection of the disease is reduced to the analysis of these spots. At present, farmers mainly rely on their own experience, disease-identifying atlases or involve expert agronomists. However, the identification is complicated by the fact that different diseases can have similar types of spots and vice versa, the same disease can manifest itself differently in different crops varieties and depending on growing conditions. This research shows that modern neural network approaches can be used instead of conventional colour and brightness filters to detect fungal infections in cereal crops. In particular, the use of autoencoders can significantly simplify the task of automatically detecting diseased areas. The authors prove that after complementing the pipeline of image processing using filters, usual for such tasks, with a neural network autoencoder, in some cases it is possible to explicitly highlight the affected area.