bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of first insert coil with REBCO CICC sub-size cable exceeding 6 kA at 21 T magnetic field
Authors: Zhou Chao , Jin Huan , Fang Zhen , Xiao Guanyu , Ma Hongjun , Liu Fang , Liu Huajun , Ma Tao , Tan Yunfei , Chen Wenge , Wu Zuojiafeng , Kanazawa Shintetsu , Nijhuis Arend , Devred Arnaud , Li Jiangang , Qin Jinggang
Published: August 2022

The Institute of Plasma Physics at the Chinese Academy of Sciences is developing the REBCO cable in conduit conductor (CICC) technology for applications in next-generation nuclear fusion devices. The aim is to develop a CICC comprised of six REBCO sub-cables to satisfy the requirements of operation with a current of around 40 kA and a peak field of up to 20 T. To qualify the performance of the sub-size REBCO cable to be used in the CICC, two 25-turn insert solenoids have been designed, manufactured and tested at a current exceeding 6 kA subjected in a background field supplied by a water-cooled resistive magnet. The insert solenoid, wound from a 11.5 m long REBCO CORC® cable, was designed to investigate its current carrying capacity under high field and electromagnetic (EM) load at 4.2 K. Tests were performed under a background magnetic field up to 18.5 T, resulting in a peak magnetic field on the innermost layer turns of around 21.1 T at an operating current of 6.3 kA. The effects of operation with cyclic EM loads were tested by repeated current ramps to around 95% of the critical current. Moreover, the V–I characteristics were measured at 77 K and the self-field, to check the effects from warm-up and cool-down (WUCD) cycles between room temperature and 77 K with liquid nitrogen. The results show no obvious degradation after dozens of high-current test cycles in background fields ranging from 10 T to 18.5 T. The insert solenoid demonstrates the stable operation of the REBCO sub-size cable for CICC with EM loads of about 90 kN m−1 and WUCD cycles between room temperature and 77 K. These promising results indicate the potential of this technology for further applicationsin particular, for full-size CICC for high-performance fusion magnets.
Linear and nonlinear analysis of Ion-Temperature-Gradient (ITG) driven mode in the asymmetric pair-ion magnetoplasma
Authors: Razzaq Javaria , Ehsan Zahida , Mirza Arshad M , Younis H , Ziauddin
Published: August 2022

We have investigated linear and nonlinear dynamics of ion-temperature-gradient (ITG) driven drift mode for Maxwellian and non Maxwellian pair-ion plasma embedded in an inhomogeneous magnetic field having gradients in the temperature and number density of ions. Linear dispersion relations are derived and analyzed analytically as well as numerically for different cases. It has been found that growth rate of instability increases with increasing η. By using the transport equations of Braginskii, model, a set of nonlinear equations are derived. In the nonlinear regime, soliton structures are found to exist. Our numerical analysis shows that amplitude of solitary waves increases by increasing ion to electron number density ratio. These solitary structures are also found to be sensitive to asymmetries in pair plasma and non thermal kappa and Cairns distributed electrons. Our present work may contribute a good illustration of the observation of nonlinear solitary waves driven by the ITG mode in magnetically confined pair-ion plasmas and space pair-ion plasmas as the formation of localized structures along drift modes is one of the striking reasons for L-H transition in the region of improved confinements in magnetically confined devices like tokamaks.
Weak lensing “post-Born” effects are equivalent to pure lens-lens couplings
Authors: Denton-Turner Oliver , Lim Eugene A.
Published: August 2022

We show that the so-called “post-Born” effects of weak lensing at 4th order are equivalent to lens-lens couplings in the Born Approximation. We demonstrate this by explicitly showing the equivalence of the canonical weak lensing approach at 4th order using the anisotropy remapping method, to that of the 4th order calculation of the lens-lens coupling effects using the Boltzmann equation approach that was first developed in [1].
Multi Chaotic System to Generate Novel S-Box for Image Encryption
Authors: Nasry Hany , Abdallah Azhaar A. , Farhan Alaa K. , Ahmed Hossam E. , Sobky Wageda I.El
Published: August 2022

A novel method on the basis of multi chaos theory is suggested in the presented study. Also, the study used two different dimensions to generate S-Box to get a strong cipher that is difficult to break. The suggested image cryptosystem includes an identical (decryption and encryption) process, which involves a single keystream generator, shifting process (based on 3D Lorenz map) related diffusion operations, and generate S-Box (based on 2D Henon map) that related confusion operation. The comparative analysis and the simulate test show that the suggested image cryptosystem has a few properties, like high-sensitivity, fast encryption/decryption, large keyspace, excellent statistical properties related to the ciphertext, and so on. The suggested cryptosystem is considered as an alternative for practical secure communications.
Application of Suggested Three Parameters Collective Rotational Model to Superdeformed Thallium Odd-Mass Nuclei
Authors: Khalaf A.M. , Taha M.M. , Ismail A.M.
Published: August 2022

The superdeformed rotational bands (SDRB’s) of axial symmetric Tl odd-A nuclei are described within the framework of the suggested model as an extended version of Bohr-Moltelson (BM) model. The suggested model has three parameters rather than the BM model’s two parameters. The model is employed to calculated the transition energies and therefore the unknown level spins within the three pairs of signature partners 191Tl (SD1, SD2), 193Tl (SD1, SD2) and 195Tl (SD1, SD2). The optimized model parameters and therefore the unknown spins for every band are adjusted by employing a computer simulated search program to induce a minimum root mean square deviation between the calculated theoretical and experimental transition energies Eγ
(I). The most effective adopted model parameters and spins are wont to calculate the kinematic J
(1) and dynamic J
(2) moments of inertia, and rotational frequency ħω,. The calculated results agree excellently with the experimental ones. The behaviour of J
(1) and J
(2) with ħω is examined and discussed. Also, the calculated transition energies and spins are accustomed investigate and exhibit the ΔI = 1 staggering effects in transition energies between each pair of the signature partners. This can be done by considering three staggering indices looking on the dipole γ-transitions between the 2 bands of the signature partners and therefore the quadrupole γ-transitions within each band. All the studied three signature partner pairs showed an oversized amplitude staggering pattern. The ΔI = 1 energy staggering also appears within the transition energies after subtracting a rigid rotor reference when plotted versus spin. The phenomenon of identical bands (IB’s) is additionally investigated within the two pairs [193Tl (SD1), 195Tl (SD1)] and [193Tl (SD2), 195Tl (SD2)] by using the concept of incremental alignment.
Study the Optimal Operative Conditions of New Glow Discharge Ion Source for Polymeric Treatment
Authors: Hassan M.G. , Soliman B.A. , El-Saftawy A.A. , Abdelrahman M.M. , Abdelmageed K.E. , Hassouba M.A.
Published: August 2022

The design, manufacturing, and systematic parametric evaluation of a modified glow discharge ion source (with a pear-shaped anode and a plane cathode) are detailed to extract low-power, high plasma density, and high-intensity ion beam current for material processing. The study includes determining the optimal operative conditions for ion source performance and optimizing its properties. The ion beam current was measured at various argon gas pressures and anode-cathode distances as well as its measurements at various ion source - collector plate distances. At the optimum settings, the influence of discharge pressure on the output current was evaluated using various gases (argon, oxygen, nitrogen and hydrogen). In addition, the influence of applied negative voltages on the extractor electrode (different hole diameters) on the generated ion beam current is being explored. Finally, SIMION computer program evaluated and studied ion beam optics. The simulation and experimental results for a highly efficient ion beam derived from the planned ion source agreed well.
Development of Expert System for Flexible Pavement Design in Sabah
Authors: Ladin M A , Yi L C , Darawati A S , Bolong N , Saad I , Rusli R , Mat Yazid M R , Yahia H A. M
Published: August 2022

Flexible pavement covers three quarters of the total local roads including Sabah. An ideal flexible pavement should have sufficient thickness to distribute the load to subgrade but not overdesign which cause extra cost. This research paper is conducted to develop an expert system for flexible pavement design in Sabah. It is aimed to reduce the hu-man error during the design phase in order to ensure the road quality. Sabah is selected as the location as Sabah is developing state that involve many on-going highway and flyover construction. Besides, expert system is important in this modern era to replace manual calculation that waste time and energy. Information about flexible pavement is collected through literature review from previous research papers and from human experts who have years of experiences in road construction. The information obtained is analysed and coded using Visual Basic Net. programming language on Microsoft Visual Studio. An expert system for flexible pavement design in Sabah is developed with a given name, ES-FPD. For validation test, comparison is made between results obtained from ES-FPD and manual calculation by expert evaluator. The results show ES-PFD passed both evaluation test and validation test. ES-FPD is considered to be verified and can be used.
Modified canny edge detection technique for identifying endpoints
Authors: Kieu S T H , Bade A , Hijazi M H A
Published: August 2022

Edge detection is an image processing technique that retains the edges of an object in an image while discarding other features. The Canny edge detection technique is regarded as one of the most successful edge detection algorithms because of the good edge detection effect. However, one of its problems is the discontinued edges. In this paper, we present an endpoint identification algorithm that can pinpoint the position of the discontinued edges. After the endpoints are identified, they are paired together based on distance, and the broken gaps are filled by connecting the endpoints. Results have shown that, visually, our method has fewer discontinued edges when compared to Canny. Also, the mean square error of our method is lower than traditional Canny, indicating that our technique produces edge images that are more accurate than the traditional Canny.
Development of Transportation Models Based on Students’ Interest in a Parking Charging System at Universiti Malaysia Sabah (UMS)
Authors: Ladin M A , Yung L J , Darawati A S , Bolong N , Saad I , Mat Yazid M R , Abbil A , Yahia H A M
Published: August 2022

Transportation management and sustainable transportation planning were critical. A well-planned transportation system is extremely beneficial in terms of efficiency and environmental friendliness. To that end, parking charging was one of the transportation management topics covered in this study. A parking charging system is one in which a user can leave their vehicle at a particular place and pay a price based on the amount of time it was left unattended. Given the rising use of private vehicles, which has resulted in an increase in congestion and air pollution, it is believed that a parking fee system can be implemented to alleviate the situation. The primary purpose of this research is to develop a transportation model based on the parking price factor in Ringgit Malaysia (RM). At the completion of the study, a transportation model based on parking rates will be developed, and it is projected that once implemented, the percentage of private vehicles that use public transportation will increase. This model is deemed necessary in order to mitigate the harmful effect of an excessive number of private vehicles at UMS. The State Preference Survey (SPS) method was used. A questionnaire form was developed and distributed online to 300 respondents among the students of the Faculty of Engineering at UMS, in order to collect the required data. The data collected was then analyzed using linear regression to develop several transportation logistic models. The transportation models that have been developed in the form of a logistic model that can reflect the willingness of UMS students to shift from private vehicles to public transport. These models predict that when the parking price increases, the percentage shift of private vehicles to public transport will increase linearly. It is also found that 100% of drivers are willing to shift from private vehicles to public transport if the parking price per hour is RM 4.00. Shifting private vehicle users to public transportation may assist lower the number of private vehicles on the road and thus indirectly help mitigate the negative consequences of an excess of private automobiles.
A review on the effect of crumb rubber in civil engineering applications
Authors: Arot E , Asrah H , Lim C H
Published: August 2022

The increasing amount of tyre waste seen each year, which corresponds to growth in vehicle demand and usage around the world. The subject of tire waste disposal has been a hot topic among researchers due to the growing amount of waste production each year, the negative influence on the environment, and the potential solutions to these issues. Because of the complexity of the structure, content, and quality of the rubber, disposing of discarded tyres is difficult. Researchers have recently become interested in crumb rubber, which is a product regenerated from tire waste after undergoing a separation process, because of its potential as a raw material in the development of construction materials that may be used to replace natural resources. Crumb rubber, depending on its quality and category, can be utilised in a variety of civil engineering projects to help make them more cost-effective and long-lasting. Further study and development of crumb rubber processing and application methods may enhance tyre waste recycling rates and, as a result, reduce environmental difficulties associated with tire waste landfilling. The primary goal of this research is to review existing crumb rubber research, particularly in terms of characteristics, processing methods, and rates of application in the construction industry. This study could serve to encourage and promote the widespread usage of crumb rubber in civil engineering projects.
The study of the effect of the pores on the electric field distribution inside alumina ceramic
Authors: Gan Pingping , Wang Yajun
Published: August 2022

Alumina ceramics are widely used as high-voltage insulation
material due to its good electric insulation. As we all know that
the defects inside the ceramic have great impact on the insulation
property of the ceramics, especially the pores. For a better
understanding of the effect of the pores, we carried out the
fundamental study of how the pores affect the electric field
distribution inside alumina ceramics by simulation and theoretical
analysis. The results showed that the electric field strength inside
the pore is higher than that without any pores inside the ceramic
and the increased proportion is almost constant which is not
relative to the size and location of the pore.
Joint remote implementation of operators
Authors: An Nguyen Ba
Published: August 2022

We propose a deterministic protocol for three distant parties to cooperate so that two parties can implement their secret unitary operators on the third party’s secret quantum state via shared quantum channel assisted by cross-Kerr nonlinearities. The operators are of general form while the state may be encoded either in spatial degree of freedom or polarization degree of freedom. The quantum channel is served by a three-photon hyperentangled state establishing the minimum of consumed photon number for this type of task. This protocol can be named joint remote implementation of operators which is necessary for distributed quantum tasks throughout a quantum network.
The effect of breathing exercise on daytime sleepiness and fatigue among patients with obstructive sleep apnea syndrome
Authors: Serçe Sibel , Ovayolu Özlem , Bayram Nazan , Ovayolu Nimet , Kul Seval
Published: August 2022

This study was conducted with randomized controlled and experimental design to examine the effect of breathing exercise on daytime sleepiness and fatigue on patients with obstructive sleep apnea syndrome. The first application was performed by teaching patients in the intervention group breathing exercises including diaphragmatic and pursed lip breathing via the face-to-face interview technique. Then, the researcher applied breathing exercises in the same patient group every morning/evening for 10–15 min and a total of 20–30 min for eight weeks via the online interview method. The data were collected via a questionnaire, Epworth sleepiness scale (ESS), and Piper Fatigue Scale (PFS). Chi-square, Student’s t, Mann Whitney U, paired sample t-test, analysis of variance (ANOVA) and generalized estimating equations were used to assess the data. It was determined that PFS total mean score of the intervention group which was 6.15 ± 1.65 before the application decreased to 5.34 ± 1.94 in the eighth week (p > 0.05) and PFS total mean score of the control group which was 5.59 ± 1.76 before the application increased to 5.77 ± 1.81 in the eighth week (p > 0.05). ESS total mean score of the intervention group which was 12.13 ± 4.34 at the baseline decreased to 9.13 ± 4.71 in the eighth week (p > 0.05) and ESS total mean score of the control group which was 10.37 ± 2.77 at the baseline increased to 10.5 ± 2.85 in the eighth week (p > 0.05). It was concluded that breathing exercise performed in the intervention group decreased the fatigue and daytime sleepiness mean scores of the patients at the end of the fourth and eighth week. In addition, the group-time interaction was significant, which was associated with the intervention group.
The Irrigation Practice Influence on the Onion Yield Under Drop Watering
Authors: Dubenok N N , Lytov M N , Matveeva O A , Kuznetsova V V , Kuznetsov V I , Sukhova T N
Published: August 2022

High onion yield of hybrid Dutch variety “Manas F1” is possible by using drop watering method in combination with additional helio-based ridge profile using the RGD-1,2 ridger with special land levelers and torn down diggers. Property that define this method is the ridge slicing from west to east at a downgrade 8.5 ° of the response surface to the horizon. As a result, the ridge grade turns to the sun throughout the day light hours. This technology provides accelerated ridge heating in the spring period, improves the microclimate and protects sprouts and young onion from prevailing winds. The differentiated pre-irrigation soil moisture threshold on 80-70 % HB in a layer of 0.3 m from seeding to formation of the 5th leaf, followed by an increase in the calculated layer to 0.5 m and the available soil technology, allowed to obtain onion yield at the level of 110,6 t/ha.
Electron-optical methods for tubers quality diagnosing
Authors: Zanfirova L V , Melikov A V , Chistova Ya S , Ovsyannikova E A
Published: August 2022

The tubers quality assessment and indicators are presented in the article. The world experience of electron-optical methods using for instrumental diagnostics of potatoes ripeness and commercial quality, the feature of which is to determine the tuber quality without violating its physical integrity, is described. A brief description of each group of electro-optical methods is given. The use of combined methods is proposed to increase the accuracy of tubers sensing, in particular, when creating multi-parameter sorting devices. Due to the complexity of the potato sensing process, software and hardware are required, designed on the principle of the biological neural networks organization and functioning.
The method of hierarchy analysis as a tool for determining the significance of competitiveness factors of agricultural enterprises
Authors: Skiter N N , Ketko N V , Kabanov V A , Khryseva A A , Vasuf A A
Published: August 2022

In the context of economic globalisation and competition, the main factor that allows a company of any industry specialisation to maintain stability and retain a competitive position in an ever-changing marketing environment is its competitiveness. This article describes modern factors that have a positive impact on the competitiveness of agricultural companies and proposes mathematical tools to identify the most significant ones for economic activity.
Reed Fescue Cultivation Basic Techniques Influence on Organics and Nutrients Accumulation in the Soil
Authors: Dronova T N , Burtseva N I , Zemtsova I P
Published: August 2022

The article presents the results of many years research on the new valuable reed fescue bluegrass crop attracting to the fodder production of the region. Rational combinations of the main crop-forming factors were established: timing, sowing methods and their effect on the fescue productivity when used for seed and fodder purposes, ensuring the receipt of 400 to 800 kg/ha of seeds and from 20 to 30 t/ha of green mass. Reed fescue, when optimizing the conditions of the soil water and nutritional regime, timing, sowing methods and norms, is able to influence the fertility and the content of basic nutrients in the soil, by accumulating the root mass by the years of life from 5.0-6.0 to 17.7-20.4 t/ha of dry roots, which contributes to the introduction of 52-73 to 123-187 kg of nitrogen, 10-38 - phosphorus and 149-204 kg/ha of potassium.
Neural network natural language processing tools for identifying personal priorities in the project performers selection in the field of smart agriculture
Authors: Polshchykov K A , Velikanova A S , Igityan E V
Published: August 2022

The project implementation effectiveness in creating digital smart agriculture systems depends on the correct selection of performers. Considering personal priorities makes it possible to increase the validity of decision-making regarding the employment of specific individuals for the implementation of IT projects in the agro-industrial sector. Personal priorities are internal, hidden characteristics that have an effect on the process of long-term joint work and interaction in various situations that arise in the team. The identification of the analyzed individual’s personal priorities is proposed to be reduced to solving the classification problem based on the analysis of person’s text Internet traces using neural network technologies of natural language processing. As a training sample, it is proposed to use a set of text document vectors and the corresponding marks of personal priority classes. In the process of identifying the personal priorities classes, it is required to create an appropriate text array based on parsing and processing of text messages published on the Internet by the analyzed person. Next, from the resulting text array, a text vector of the document must be formed, which then needs to be submitted to the input of the neural network. It is assumed that the mark of the analyzed individual’s personal priority class will be displayed in the output layer of neurons.
Systematic analysis of retrospective crop yields time series based on their structure identification
Authors: Rogachev A F , Simonov A B
Published: August 2022

Agricultural production and crop production, as its basic branch, is characterized by a significant dependence on solar activity (the Shvabe cycle) and hydrometeorological conditions of a particular year, especially in areas of insufficient moisture, which are mainly characteristic of the regions of the Lower Volga region of Russia. For the planning and management of agricultural production, a reliable forecast of the yield of cultivated crops is important. Previously published results show that the empirical distribution of retrospective TS yields, including the example of grain crops, is statistically significantly different from the normal one. This justifies the use of more subtle research methods, such as singular value analysis (SSA). The algorithm of the SSA method includes several stages, the main of which is the singular decomposition of the trajectory matrix into the sum of elementary matrices, each of which is given by a set of eigenvalues. At the final stage, diagonal averaging is performed, according to which the elementary matrices within each set are summed. The singular decomposition of the data on the dynamics of the BP yield was carried out according to the data for 1950-2018 on the example of grain crops in arid conditions of the Volgograd region. For the practical implementation of the SSA method, a computer program in Python was developed, using specialized mathematical libraries. The program provided a singular decomposition of the trajectory matrix, diagonal averaging of the resulting matrices, as well as the restoration of the set of series, taking into account their contribution to the analyzed TS. The use of the SSA method allowed us to identify the main natural and economic cycles, including a cycle with a period of about 14 years, which plays a major role in the dynamics of the formation of grain yields. Pronounced cycles of a different duration, among those identified by the SSA method, have not been established. There is a strong negative autocorrelation of the levels of interannual variability of grain yield values, which is present on the graphs of many restored series.
The quality improving of multi-criteria assessment of enterprises in social sectors
Authors: Zamotajlova D A , Popova E V , Tinyakova V I , Karyagina T V
Published: August 2022

A distinctive feature of the social spheres functioning is acute cash shortages among consumers and the social demand presence; this makes it impossible to use “classical” methods of multi-criteria analysis and underlines the importance of an effective and objective apparatus creating for evaluating enterprises in these areas. The TOPSIS method was chosen as the basis for the creation of such a toolkit, a modified version of which allows the needs and capabilities of consumers to be taken into account as accurately as possible and the criteria apparatus to be flexibly adjusted to a specific request. However, due to the fact that the alternatives assessment is carried out by experts, it is important to provide a mechanism for its results objectivity increasing through the experts’ competence assessment.
Modeling the processes of the rural areas labor potential forming as the paradigm for the regional socio-economic policy development
Authors: Balashova N N , Smotrova E E , Donskova O A , Peters I A , Melikhova L A
Published: August 2022

This article is devoted to identifying the factors that have the greatest impact on the dynamics of the rural areas labor potential in the region by using methods of economic and mathematical modeling. A statistically significant multiple regression model was obtained, it determined that such factors as the provision of rural residents with housing and the total population of the region mostly influence the number of labor resources. Checking the significance of the obtained equation was determined by using the multiple correlation coefficient, determination, Fisher’s F-criterion. The assessment of the regression coefficients significance was carried out on the basis of the Student’s t-test. Average indicators of elasticity allowed to build factors according to the strength of their impact on the result.
Development of information system for predicting agricultural companies’ stock price in the context of epidemiological crisis
Authors: Yakhontova I M , Krivenko M S
Published: August 2022

The Covid-19 epidemic has a significant impact on many areas of life and economic indicators, including the stock prices of various companies. The ability to take this influence into account when making financial and brokerage forecasts by using qualitatively new data will improve the quality of forecasts. In 2020, according to the Moscow Exchange Market, the trading volume on the stock market of the Moscow Exchange market reached 23,905 billion rubles. For comparison, in 2015 the trading volume on the stock market of the Moscow stock exchange reached only 9,328 billion rubles. Thus, in connection with the growth of trading volumes, the relevance of information systems for predicting stock prices is growing.
Tutorial for increasing the potential of microalgae in restoring the ecosystem of the Don River
Authors: Melikhov V V , Medvedeva L N , Moskovec M V , Fedorov A L
Published: August 2022

The article raises questions of anthropogenic impact on continental water bodies. The results of expeditionary studies to increase the potential of microalgae in the improvement of the Tsimlyansk reservoir, created on the Don River on the basis of the use of biological reclamation - algolization, are presented. The reasons for the deterioration of water quality in the reservoir are determined, which are associated with the intensive introduction of pollutants and hydrometeorological conditions that contribute to the intensive development of phytoplankton in the summer-autumn period. At the end of May, the water column warms up rather quickly (+20° C), phytoplankton begins to multiply strongly, the number reaches - 20.5 million cells/l, biomass 15.5 g/m3. The most active are blue-green algae of the genus Anabaena. In July-August, a prolonged increase in water temperature up to 25-27°C contributes to an increase in phytoplankton of blue-green algae of the genera Aphanizomenon, Microcystis, Oscillatoria. Blue-green algae, creating the effect of “blooming” of water, form large colonies and dominate over other types of microorganisms. Thanks to the developments of scientists, it became possible to use biological reclamation in the restoration of ecosystems of natural and artificial reservoirs. Algolization - the introduction of microalgae Chlorella vulgaris into water bodies, allows to improve the quality of water in terms of gas composition, content of organic substances and reduce the effect of water “blooming”.
The use of non-traditional legumes in the production of high-protein feed on irrigation
Authors: Dronova T N , Burtseva N I , Molokantseva E I , Golovatyuk O V , Zemtsova I P
Published: August 2022

The article presents the results of research on the perennial legumes various types modern varieties attracting and adapting to the conditions of the Lower Volga region. The experiments were carried out on irrigated light chestnut soils. The completeness of the studied grasses seedlings was at the level of the traditional culture of purple hybrid alfalfa or slightly lower than its indicators. The creation of optimal growing conditions contributed to the formation of the maximum assimilation surface on the grasses sowing. In the second year of life, the leaf area by crops varied from 43 - 45 to 57 - 62 thousand m2/ha. The highest indices were in alfalfa and blue hybrid alfalfa and meadow clover. On these crops, the yield of green mass was formed at the level of 75 - 88, on the crops of birdsfoot trefoil and creeping crown vetch it was 62 - 65 t/ha. The qualitative indicators of the biomass of the studied legumes corresponded to the high requirements for the assessment of feed. The content of feed units in a kilogram of dry matter was 0.62 - 0.68, digestible protein - 120 - 171, and metabolizable energy - 9.7 - 10.3 MJ. Leguminous herbs improve soil fertility due to the nutrients contained in the accumulated root mass. After three years of use, from 142 to 240 kg of nitrogen, 60 to 90 kg of phosphorus and 80 to 145 kg of potassium enter the soil along with the organic matter.
Regional food systems: assessment of the level of self-sufficiency in food
Authors: Antamoshkina E N , Lutsenko Ja V , Daeva T V , Radionova E A , Sahakyan M A
Published: August 2022

The article reviews characteristics of food system as part of the model of regional agricultural production. The authors consider groups of indicators used to analyze regional food systems: indicators that specify food self-sufficiency of regional markets and the level of interregional food exchange. In the study, based on official statistical data, the level of self-sufficiency in food was assessed on the example of the regions of the Southern Federal District (SFD). As a result of the analysis, the authors found out that in 2019 only a number of regions of the Southern Federal District, in particular, the Republic of Adygea, the Krasnodar Territory, and the Volgograd Region provided a high level of self-sufficiency in food products. Empirical significance of assessing the indicators of regional food systems functioning and food security monitoring is defined by the relevancy to forecast the need for food for the population in the regions of Russia.
Durability increasing by developing a conceptual model for the chisel tool working bodies rational structuring
Authors: Gapich D S , Motorin V A , Veselova N M , Shiryaeva E V
Published: August 2022

There are three main zones with different functional purposes in any tillage machines working bodies design. The technological process being performed determines the functionality of these zones. The first zone is the working area of the nose part, its main task is to destroy the processed material and to apply the main working body into its layers. The second zone is the transition zone, it is an intermediate part of the working body that connects the working area of the working body and the zone responsible for attaching the working body to the tine of the tillage implement. The third zone is the area of the working body attachment. Depending on the functional purpose, the zones of the working organs perceive different external loads. The paper proposes a stepwise hardening technology, which made it possible to carry out the entire complex of technological operations from one volumetric workpiece heating, which allows to reduce the labor intensity of multi-stage heat treatment and the cost of the working body manufacturing. Technologically, it is as follows, the working bodies’ workpieces are placed in fixing frames with special holes, where their wedge-shaped part is recessed. Analysis and experimental verification showed that the heat reserve accumulated in the main part of the working body when heated in the furnace is sufficient for the bainite transformation to occur during intermittently cyclic cooling of the chisel cutting part.
Sudan grass cultivation parameters optimization in the nizhneje povolzje dry-steppe zone
Authors: Laptina Y A , Gichenkova O G , Kulikova N A
Published: August 2022

The article reflects the results of five-year researches in the conditions of light chestnut soils of the Volgograd region to study the ways to increase photosynthetic indicators and yield of Sudan grass of the Allegory variety green mass through the use of mineral fertilizers and pre-sowing seed treatment. The experiment scheme included the following options: 1. Control variant without fertilizers; 2. N120P120K90 +N30; 3.Raykat Start; 4. N120P120K90 +N30+Raikat Start + N30. The seeding rate was 3.0 million of viable seeds per hectare. For all the mineral fertilizers application variants, the dynamics of the increase in the leaf surface area and photosynthetic material was noted. The study of the different nutrition levels influence on the Sudan grass green mass productivity showed the advantage of the option with the combined use of the Raikat Start growth stimulator and mineral fertilizers, this allows to get the increase in comparison with the control variant in the amount of 26 t/ha for three mowings. The application of mineral fertilizers provided the increase of 17.5 t/ha. According to the variant with using only Raikat Start, the increase was 7.4 t/ha.
New Marketing Communications to Promote Agricultural Products to Foreign Markets
Authors: Voytyuk V A , Marinchenko T E , Voytyuk M M
Published: August 2022

The widespread development of the Internet has allowed the use of information and communication technologies and transformed the traditional methods of promoting products in the domestic and foreign markets. Against the background of the general trend towards individualization in working with consumers, information and communication technologies are becoming more widespread in order to expand communication and receive feedback from the end user. At the present stage of development, marketing is becoming one of the conditions for successful functioning in market conditions for enterprises in the agricultural sector. The advancement of communication technologies and their widespread adoption have prompted agricultural producers and retailers to explore various online resources and channels of communication with consumers and use them to promote their products. The paper examines the experience of using various types of marketing communications to promote agricultural products for export and analyzes their potential and prospects for use by domestic producers.
Assessment of food self-sufficiency in the system of diagnostics of food security
Authors: Antamoshkina E N , Krivtsov I V , Smolyakov P P , Snapkouskaya S V , Pechnikov G A
Published: August 2022

The article proposes a complex indicator - the food self-sufficiency index (IFSS). The threshold values of the indicator are established, allowing classification of food provision at the regional level. An integral indicator, the food security index (IFP), which takes into account groups of indicators in the field of production, distribution and consumption of food products, was developed as a methodological analysis tool. In order to analyze the differentiation of regions in food supply, an original methodological toolkit is proposed - a food supply matrix, which makes it possible to rank regions. Based on the conducted economic and statistical analysis of the indicators of food self-sufficiency in the regions of the Southern Federal District (SFD), it was found that the food self-sufficiency index in 2018 corresponded to the optimal level. The proposed method of economic and statistical analysis can be used when conducting socio-economic zoning of regions according to the criteria of food provision in regional markets.
Behavioral design practical application: product policy, public opinion
Authors: Skokov R Yu
Published: August 2022

Behavioral product design is critical to integrated product policy and opens up new opportunities for manufacturers, consumers and society in whole. Behavioral design theory since the 90s of the XIX century evolved as a synthesis of physiological theory of reflexes and reinforcement, psychoanalytic theory of the crowd and operational conditioning, theories of public opinion management and organizational change, institutional concepts of consumer behavior, computerization and the development of data networks. In foreign practice, behavioral design is used in building human interaction with digital devices, architecture, reducing the crime rate, protecting against errors in organizing processes in healthcare, creating energy-saving and resource-saving products, creating eco-friendly products, increasing the safety of using products, solving problems associated with coronavirus, reduction of screen time, impact on public opinion, creation of virtual products for healthcare, education, welfare. In Russian practice, the potential of behavioral design is not realized. The research methodology is based on the combination of classical and multidisciplinary scientific approaches, including methods of behavioral economics, institutionalism and consumer marketing.
Multi-omics therapeutic perspective on ACVR1 gene: from genetic alterations to potential targeting
Authors: Nagar Garima , Mittal Pooja , Gupta Shradheya R R , Pahuja Monika , Sanger Manisha , Mishra Ruby , Singh Archana , Singh Indrakant Kumar
Published: August 2022

Activin A receptor type I (ACVR1), a transmembrane serine/threonine kinase, belongs to the transforming growth factor-β superfamily, which signals via phosphorylating the downstream effectors and SMAD transcription factors. Its central role in several biological processes and intracellular signaling is well known. Genetic variation in ACVR1 has been associated with a rare disease, fibrodysplasia ossificans progressive, and its somatic alteration is reported in rare cancer diffuse intrinsic pontine glioma. Furthermore, altered expression or variation of ACVR1 is associated with multiple pathologies such as polycystic ovary syndrome, congenital heart defects, diffuse idiopathic skeletal hyperostosis, posterior fossa ependymoma and other malignancies. Recent advancements have witnessed ACVR1 as a potential pharmacological target, and divergent promising approaches for its therapeutic targeting have been explored. This review highlights the structural and functional characteristics of receptor ACVR1, associated signaling pathways, genetic variants in several diseases and cancers, protein–protein interaction, gene expression, regulatory miRNA prediction and potential therapeutic targeting approaches. The comprehensive knowledge will offer new horizons and insights into future strategies harnessing its therapeutic potential.
Principal microbial groups: compositional alternative to phylogenetic grouping of microbiome data
Authors: Boyraz Aslı , Pawlowsky-Glahn Vera , Egozcue Juan José , Acar Aybar Can
Published: August 2022

Statistical and machine learning techniques based on relative abundances have been used to predict health conditions and to identify microbial biomarkers. However, high dimensionality, sparsity and the compositional nature of microbiome data represent statistical challenges. On the other hand, the taxon grouping allows summarizing microbiome abundance with a coarser resolution in a lower dimension, but it presents new challenges when correlating taxa with a disease. In this work, we present a novel approach that groups Operational Taxonomical Units (OTUs) based only on relative abundances as an alternative to taxon grouping. The proposed procedure acknowledges the compositional data making use of principal balances. The identified groups are called Principal Microbial Groups (PMGs). The procedure reduces the need for user-defined aggregation of $\textrm{OTU}$s and offers the possibility of working with coarse group of $\textrm{OTU}$s, which are not present in a phylogenetic tree. PMGs can be used for two different goals: (1) as a dimensionality reduction method for compositional data, (2) as an aggregation procedure that provides an alternative to taxon grouping for construction of microbial balances afterward used for disease prediction. We illustrate the procedure with a cirrhosis study data. PMGs provide a coherent data analysis for the search of biomarkers in human microbiota. The source code and demo data for PMGs are available at: https://github.com/asliboyraz/PMGs.
Identifying and characterizing drug sensitivity-related lncRNA-TF-gene regulatory triplets
Authors: Hu Congxue , Xu Yingqi , Li Feng , Mi Wanqi , Yu He , Wang Xinran , Wen Xin , Chen Shuaijun , Li Xia , Xu Yanjun , Zhang Yunpeng
Published: August 2022

Recently, many studies have shown that lncRNA can mediate the regulation of TF-gene in drug sensitivity. However, there is still a lack of systematic identification of lncRNA-TF-gene regulatory triplets for drug sensitivity. In this study, we propose a novel analytic approach to systematically identify the lncRNA-TF-gene regulatory triplets related to the drug sensitivity by integrating transcriptome data and drug sensitivity data. Totally, 1570 drug sensitivity-related lncRNA-TF-gene triplets were identified, and 16 307 relationships were formed between drugs and triplets. Then, a comprehensive characterization was performed. Drug sensitivity-related triplets affect a variety of biological functions including drug response-related pathways. Phenotypic similarity analysis showed that the drugs with many shared triplets had high similarity in their two-dimensional structures and indications. In addition, Network analysis revealed the diverse regulation mechanism of lncRNAs in different drugs. Also, survival analysis indicated that lncRNA-TF-gene triplets related to the drug sensitivity could be candidate prognostic biomarkers for clinical applications. Next, using the random walk algorithm, the results of which we screen therapeutic drugs for patients across three cancer types showed high accuracy in the drug-cell line heterogeneity network based on the identified triplets. Besides, we developed a user-friendly web interface-DrugSETs (http://bio-bigdata.hrbmu.edu.cn/DrugSETs/) available to explore 1570 lncRNA-TF-gene triplets relevant with 282 drugs. It can also submit a patient’s expression profile to predict therapeutic drugs conveniently. In summary, our research may promote the study of lncRNAs in the drug resistance mechanism and improve the effectiveness of treatment.
Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement
Authors: Shi Weiyang , Fan Lingzhong , Wang Haiyan , Liu Bing , Li Wen , Li Jin , Cheng Luqi , Chu Congying , Song Ming , Sui Jing , Luo Na , Cui Yue , Dong Zhenwei , Lu Yuheng , Ma Yawei , Ma Liang , Li Kaixin , Chen Jun , Chen Yunchun , Guo Hua , Li Peng , Lu Lin , Lv Luxian , Wan Ping , Wang Huaning , Wang Huiling , Yan Hao , Yan Jun , Yang Yongfeng , Zhang Hongxing , Zhang Dai , Jiang Tianzi
Published: August 2022

Difficulties in parsing the multiaspect heterogeneity of schizophrenia (SCZ) based on current nosology highlight the need to subtype SCZ using objective biomarkers. Here, utilizing a large-scale multisite SCZ dataset, we identified and validated 2 neuroanatomical subtypes with individual-level abnormal patterns of the tensor-based morphometric measurement. Remarkably, compared with subtype 1, which showed moderate deficits of some subcortical nuclei and an enlarged striatum and cerebellum, subtype 2, which showed cerebellar atrophy and more severe subcortical nuclei atrophy, had a higher subscale score of negative symptoms, which is considered to be a core aspect of SCZ and is associated with functional outcome. Moreover, with the neuroimaging–clinic association analysis, we explored the detailed relationship between the heterogeneity of clinical symptoms and the heterogeneous abnormal neuroanatomical patterns with respect to the 2 subtypes. And the neuroimaging–transcription association analysis highlighted several potential heterogeneous biological factors that may underlie the subtypes. Our work provided an effective framework for investigating the heterogeneity of SCZ from multilevel aspects and may provide new insights for precision psychiatry.