bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge and Response of Iraqi People on Future Health Care Changes and Visiting Dental Clinics during and after COVID-19
Authors: Khursheed Dler Ali , Rauf Aras Maruf , Kareem Fadil Abdullah , Noori Arass Jalal , Mahmood Mohammed Abdalla , Abdalrahim Rukhosh Hassan
Published: October 2021

Objectives This article aimed to find out Iraqi people’s opinions on possible dental health care changes and their knowledge, attitude, and expectation toward infection controls in dental settings during and after the coronavirus disease-2019 (COVID-19) pandemic.

Materials and Methods Different questions were presented regarding possible health care system changes, to gather people’s opinions concerning patients, dentists, and dental clinic tests for contagious viral infections, their history of vaccination, and their readiness to get vaccinated, and finally, how they would feel about visiting their local dental clinics during the COVID-19 pandemic if they faced dental problems.

Results Generally, 69% of the respondents believed that the health care system will change in Iraq. A higher percentage of health care workers than nonhealth workers had been vaccinated against hepatitis virus and approximately equal numbers indicated their readiness to be vaccinated against COVID-19 and other contagious viral diseases. Additionally, a higher percentage of health care workers than Non health care workers expressed fear of contracting the infection from dental clinics and the relation was significant. More than two-thirds of respondents stated their inability to visit a dentist because all the dental clinics are closed, and they cannot find a trusted dental clinic. Likewise, the majority preferred to wait until after the outbreak or when the government provides strict control measures and guidelines for dental clinics.

Conclusion There was a common belief that the health care system will change after COVID-19 in Iraq. All agreed that dental clinics and the population should be protected against microbial cross-transmission through appropriate infection control measures and vaccination. Future health care changes should include public health education and dental health care personnel training.
Minocycline Hydrochloride as a Potential Adjuvant to Improve Osteoconductive and Osteoinductive Properties of Bone Substitutes in an Extra-Skeletal Bone Augmentation Model: Preliminary Observations in Rats
Authors: Biewer Bob , Hede Dorien Van , Rompen Eric , Mittelbronn Michel , Quatresooz Pascale , Borgmann Felix B. Kleine
Published: October 2021

Objectives The present study was performed to determine if minocycline HCl could influence the behavior of deproteinized bovine bone mineral (DBBM) and bioactive glass (BG) particles when used as filler material for new bone generation in a guided bone augmentation model.

Materials and Methods Two occlusive titanium caps were placed on the rat calvaria. One filled with BG particles, the second with DBBM particles, both previously mixed with blood (control). In minocycline HCl loaded groups (experimental), grafts were additionally placed into a minocycline solution. Samples were harvested after 4, 8, and 16 weeks. Half of the samples were embedded in methylmethacrylate for undecalcified histology and the other half was fixed, decalcified, and embedded in paraffin for classical histologic analysis.

Results The control groups highlighted osteoconductive and osteoinductive responses associated to BG particles, as well as an osteoconductive reaction, in DBBM sections. The addition of minocycline HCl to BG particles had no measurable influence on the result. In minocycline HCl loaded DBBM sections; however, areas of spontaneous ossification could be observed after 8 and 16 weeks.

Conclusion Our observations suggest that minocycline HCl may add some osteoinductive properties to DBBM within the limitations of this study design. Further investigations are needed to refine the present results.
A Variation of the Components' Separation Technique that Preserves the Semilunaris for Treatment of Abdominal Wall Deformities
Authors: Barbosa Marcus Vinícius Jardini , Nahas Fábio Xerfan , Ferreira Lydia Masako
Published: October 2021

The variation of the components' separation technique, which uses the anterior rectus sheath and the release of the oblique muscles, proved to be effective in tension reduction. This paper aimed to present the initial experience using a variation that preserves semilunaris through the incision of the lateral aspect of the rectus sheath. All of the 12 patients presented an abdominal wall defect that included incisional hernia, peritoneostomy, lateral implantation of the rectus muscle, and defect secondary to TRAM flap. The separation was done in the following stages: stage 1—anterior rectus sheath and stage 2—external oblique muscles. From the 12 patients, three presented early complications: seroma (n = 2) and epitheliolysis (n = 1). There were no recurrences or other late complications (48 months follow-up period). The separation of the anterior rectus sheath, and incision in the lateral recess to undermine the oblique muscles, allowed the treatment of abdominal wall defects, without late complications.
Dyson’s disordered linear chain from a random matrix theory viewpoint
Authors: Forrester Peter J.
Published: October 2021

The first work of Dyson relating to random matrix theory, “The dynamics of a disordered linear chain,” is reviewed. Contained in this work is an exact solution of the so-called type I chain in the case of the disorder variables being given by a gamma distribution. The exact solution exhibits a singularity in the density of states about the origin, which has since been shown to be universal for one-dimensional tight binding models with off diagonal disorder. We discuss this context and also point out some universal features of the weak disorder expansion of the exact solution near the band edge. Furthermore, a link between the exact solution and a tridiagonal formalism of anti-symmetric Gaussian β-ensembles with β proportional to 1/N is made.
Thermal solitons along wires with flux-limited lateral exchange
Authors: Sciacca M. , Alvarez F. X. , Jou D. , Bafaluy J.
Published: October 2021

We obtain some exact solutions in the context of solitons, for heat conduction with inertia along a cylinder whose heat exchange with the environment is a non-linear function of the difference of temperatures of the cylinder and the environment, due to a flux-limiter behavior of the exchange. We study the consequences of heat transfer and information transfer along the wire, and we compare the situation with analogous solitons found in nonlinear lateral radiative exchange studied in some previous papers. We also find further exact solutions in terms of Weierstrass elliptic functions for the sake of completeness.
Reinforcement learning of rare diffusive dynamics
Authors: Das Avishek , Rose Dominic C. , Garrahan Juan P. , Limmer David T.
Published: October 2021

We present a method to probe rare molecular dynamics trajectories directly using reinforcement learning. We consider trajectories that are conditioned to transition between regions of configuration space in finite time, such as those relevant in the study of reactive events, and trajectories exhibiting rare fluctuations of time-integrated quantities in the long time limit, such as those relevant in the calculation of large deviation functions. In both cases, reinforcement learning techniques are used to optimize an added force that minimizes the Kullback–Leibler divergence between the conditioned trajectory ensemble and a driven one. Under the optimized added force, the system evolves the rare fluctuation as a typical one, affording a variational estimate of its likelihood in the original trajectory ensemble. Low variance gradients employing value functions are proposed to increase the convergence of the optimal force. The method we develop employing these gradients leads to efficient and accurate estimates of both the optimal force and the likelihood of the rare event for a variety of model systems.
Photophysics of Ag and Au alloys of M25(SR)18 clusters
Authors: Yousefalizadeh Goonay , Stamplecoskie Kevin G.
Published: October 2021

Superatom clusters, Au25(SR)18, and the silver analog and alloys of the two metals have been extensively investigated for their structure, stability, photoluminescence, and electronic properties. One can readily tune the physicochemical properties by varying the ratio of Au/Ag or the thiol ligand to attain desired properties, such as enhanced emission, increased stability, and catalytic activity. Herein, excitation emission matrix spectroscopy and pump–probe transient absorption spectroscopy are used to show that the excited state dynamics of Au25(SR)18, Ag25(SR)18, and their alloys differ significantly despite having similar structures. State-resolved excited state behavior that is well documented for gold clusters is largely affected by the metal composition, becoming less pronounced for silver analogs, resulting in diversity in terms of their excited state energy and relaxation dynamics and resultant photophysical properties, such as emission.
Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
Authors: Pant Pranshu , Doshi Ruchit , Bahl Pranav , Barati Farimani Amir
Published: October 2021

Reduced order modeling (ROM) has been widely used to create lower order, computationally inexpensive representations of higher-order dynamical systems. Using these representations, ROMs can efficiently model flow fields while using significantly lesser parameters. Conventional ROMs accomplish this by linearly projecting higher-order manifolds to lower-dimensional space using dimensionality reduction techniques such as proper orthogonal decomposition (POD). In this work, we develop a novel deep learning framework DL-ROM (deep learning—reduced order modeling) to create a neural network capable of non-linear projections to reduced order states. We then use the learned reduced state to efficiently predict future time steps of the simulation using 3D Autoencoder and 3D U-Net-based architectures. Our model DL-ROM can create highly accurate reconstructions from the learned ROM and is thus able to efficiently predict future time steps by temporally traversing in the learned reduced state. All of this is achieved without ground truth supervision or needing to iteratively solve the expensive Navier–Stokes (NS) equations thereby resulting in massive computational savings. To test the effectiveness and performance of our approach, we evaluate our implementation on five different computational fluid dynamics (CFD) datasets using reconstruction performance and computational runtime metrics. DL-ROM can reduce the computational run times of iterative solvers by nearly two orders of magnitude while maintaining an acceptable error threshold.
Elucidating inhomogeneous scale-dependent flow statistics within regular obstacle arrays
Authors: Liu W. , Lau G. E. , Ngan K.
Published: October 2021

Scale-dependent turbulence statistics are calculated for large-eddy simulations of flow over square and staggered obstacle arrays. Using two-dimensional wavelet spectra, kinetic energy and transfer spectra are obtained inside the canopy layer. Mean energy spectra show a –5/3 range that extends across the obstacle scale with a large-scale peak that depends on the array type. Mean transfer spectra indicate energy extraction at large scales for the square array, but extraction or injection for the staggered array. Averaging over fluid and obstacles does not introduce significant artifacts. Mean lengthscales show minimal dependence on the array type or horizontal position; however, spatial variability is large for both arrays, especially for the energy transfer. Probability distributions for different repeating units formed by the arrays reveal that outliers exert a disproportionate influence on the cumulative energy transfer.
Effects of salinity and shear stress on clay deformation: A molecular dynamics study
Authors: Dashtian Hassan , Bakhshian Sahar
Published: October 2021

The deformation of clay minerals is an important phenomenon that is relevant to many problems, particularly those that occur in subsurface geological formations. The salinity of the formations and external shear stress applied to them are two important factors that contribute to the deformation of such porous media. To gain a deeper understanding of such phenomena, we have carried out extensive molecular dynamics simulations using the Na-montmorillonite (Na-MMT) structure as the model of clay minerals and have studied the effect of salt concentration on its swelling. As the NaCl concentration increases, so also does the basal spacing. We demonstrate the effect of the coupling between the applied shear stress and NaCl salinity on the swelling behavior of Na-MMT, namely, deformation of the interlayer space that results in swelling. According to the results, the extent of Na-MMT deformation depends on both the brine salinity and the shear rate.
Excited state dynamics in monolayer black phosphorus revisited: Accounting for many-body effects
Authors: Akimov Alexey V.
Published: October 2021

The dynamics of electron–hole recombination in pristine and defect-containing monolayer black phosphorus (ML-BP) has been studied computationally by several groups relying on the one-particle description of electronic excited states. Our recent developments enabled a more sophisticated and accurate treatment of excited states dynamics in systems with pronounced excitonic effects, including 2D materials such as ML-BP. In this work, I present a comprehensive characterization of optoelectronic properties and nonadiabatic dynamics of the ground state recovery in pristine and divacancy-containing ML-BP, relying on the linear-response time-dependent density functional theory description of excited states combined with several trajectory surface hopping methodologies and decoherence correction schemes. This work presents a revision and new implementation of the decoherence-induced surface hopping methodology. Several popular algorithms for nonadiabatic dynamics algorithms are assessed. The kinetics of nonradiative relaxation of lower-lying excited states in ML-BP systems is revised considering the new methodological developments. A general mechanism that explains the sensitivity of the nonradiative dynamics to the presence of divacancy defect in ML-BP is proposed. According to this mechanism, the excited states’ relaxation may be inhibited by the presence of energetically close higher-energy states if electronic decoherence is present in the system.
A seismometer maps Mars’s anatomy
Authors: Wilson R. Mark
Published: October 2021

NASA’s InSight is the first mission to explore seismic waves in a planetary body since Apollo 17 in 1972.
The impact of social isolation and changes in work patterns on ongoing thought during the first COVID-19 lockdown in the United Kingdom
Authors: Mckeown Brontë , Poerio Giulia L. , Strawson Will H. , Martinon Léa M. , Riby Leigh M. , Jefferies Elizabeth , McCall Cade , Smallwood Jonathan
Published: October 2021

Significance

Since the emergence of COVID-19, lockdowns have been imposed across the globe. These lockdowns change daily life considerably, reducing opportunities to socialize and work. The current study investigated how these changes may impact people’s ongoing thought patterns by examining experience-sampling data gathered before and during the United Kingdom’s first national lockdown. We found that socializing and working were significant predictors of ongoing thought in daily life and that limiting these activities during lockdown contributed to changes in ongoing thought patterns. Our findings highlight how ongoing thought patterns are shaped by the daily activities we engage in, both during lockdowns and in more normal times.
Fermi level fluctuations, reduced effective masses and Zeeman effect during quantum oscillations in nodal line semimetals
Authors: Kar Satyaki , Saha Anupam
Published: October 2021

We probe quantum oscillations in nodal line semimetals (NLSM) by considering an NLSM continuum model under strong magnetic field and report the characteristics of the Landau level (LL) spectra and the fluctuations in the Fermi level as the field in a direction perpendicular to the nodal plane is varied through. Based on the results on parallel magnetization, we demonstrate the growth of quantum oscillation with field strength as well as its constancy in period when plotted against 1/B. We find that the density of states (DOS) which show series of peaks in succession, witness bifurcation of those peaks due to Zeeman effect. For field normal to nodal plane, such bifurcations are discernible only if the electron effective mass is considerably smaller than its free value, which usually happens in these systems. Though a reduced effective mass m* causes the Zeeman splitting to become small compared to LL spacings, experimental results indicate a manifold increase in the Lande g factor which again amplifies the Zeeman contribution. We also consider magnetic field in the nodal plane for which the DOS peaks do not repeat periodically with energy anymore. The spectra become more spread out and the Zeeman splittings become less prominent. We find the low energy topological regime, that appears with such in-plane field set up, to shrink further with reduced m* values. However, such topological regime can be stretched out in case there are smaller Fermi velocities for electrons in the direction normal to the nodal plane.
Almost flat angles in surface superconductivity
Authors: Correggi Michele , Giacomelli Emanuela L
Published: October 2021

Type-II superconductivity is known to persist close to the sample surface in presence of a strong magnetic field. As a consequence, the ground state energy in the Ginzburg–Landau theory is approximated by an effective one-dimensional model. As shown by Correggi and Giacomelli (2021 Calc. Var. Partial Differential Equations in press), the presence of corners on the surface affects the energy of the sample with a non-trivial contribution. In (Correggi and Giacomelli 2021 Calc. Var. Partial Differential Equations in press), the two-dimensional model problem providing the corner energy is implicitly identified and, although no explicit dependence of the energy on the corner opening angle is derived, a conjecture about its form is proposed. We study here such a conjecture and confirm it, at least to leading order, for corners with almost flat opening angle.
Highly irregular orbits for subshifts of finite type: large intersections and emergence
Authors: Nakano Yushi , Zelerowicz Agnieszka
Published: October 2021

In their recent paper (2019 arXiv:1904.03424), the first author, Kiriki and Soma introduced a concept of pointwise emergence to measure the complexity of irregular orbits. They constructed a residual subset of the full shift with high pointwise emergence. In this paper we consider the set of points with high pointwise emergence for topologically mixing subshifts of finite type. We show that this set has full topological entropy, full Hausdorff dimension, and full topological pressure for any Hölder continuous potential. Furthermore, we show that this set belongs to a certain class of sets with large intersection property. This is a natural generalization of Färm and Persson (2011 Nonlinearity
24 1291–1309) to pointwise emergence and Carathéodory dimension.
Nutrient-extended input–output (NutrIO) method for the food nitrogen footprint
Authors: Oita Azusa , Katagiri Kiwamu , Eguchi Tetsuya , Morioka Ryoko , Shindo Junko , Hayashi Kentaro , Matsubae Kazuyo
Published: October 2021

Agro-food systems require nutrient input from several sources to provide food products and food-related services. Many of the nutrients are lost to the environment during supply chains, potentially threatening human and ecosystem health. Countries therefore need to reduce their nutrient/nitrogen footprints. These footprints are importantly affected by links between sectors. However, existing assessments omit the links between sectors, especially between the agriculture, manufacturing, and energy sectors. We propose a novel approach called the nutrient-extended input–output (NutrIO) method to determine the nutrient footprint as a sum of direct and indirect inputs throughout the supply chains from different sources of nutrients. The NutrIO method is based on a nutrient-based material flow analysis linked to economic transactions. Applying this method, we estimated the nitrogen footprint of Japan in 2011 at 21.8 kg-N capita−1yr−1: 9.7 kg-N capita−1 yr−1 sourced from new nitrogen for agriculture and fisheries, 7.0 kg-N capita−1 yr−1 from recycled nitrogen as organic fertilizers, and 5.1 kg-N capita−1 yr−1 from industrial nitrogen for chemical industries other than fertilizers. A further annexed 55.4 kg-N capita−1 yr−1 of unintended nitrogen input was sourced from fossil fuels for energy production. The nitrogen intensity of the wheat and barley cultivation sector, at 1.50 kg-N per thousand Japanese yen (JPY) production, was much higher than that of the 0.12 kg-N per thousand JPY production for the rice cultivation sector. Industrial nitrogen accounted for 2%–7% of the nitrogen footprint of each major food-related sector. The NutrIO nitrogen footprint sourced from new nitrogen for agriculture and fisheries, at 8.6 kg-N capita−1 yr−1 for domestic final products, is comparable to the food nitrogen footprint calculated by other methods, at 8.5–10.5 kg-N capita−1 yr−1. The NutrIO method provides quantitative insights for all stakeholders of food consumption and production to improve the nutrient use efficiencies of agro-food supply chains.
On the issue of forming a unified system of assessment and logistics schemes for the management of solid municipal waste, depending on the type of urban agglomeration development
Authors: Akanov A V , Belov V V
Published: October 2021

At the moment all over the world there is an acute problem of solid municipal waste (MSW) management. A significant number of studies in recent years devoted to this topic are reduced to predicting the volume of waste generated in urban agglomerations with the subsequent construction of logistics schemes. However, the authors of these studies consider the total amount of waste generated per capita within the municipalities with the subsequent extrapolation of the obtained analytical or statistical data in order to make predictive estimates, for which, in these studies, the corresponding mathematical relationships are given. The study of the influence of the development processes of the territory, together with the assessment of the formation of MSW from various groups of objects within the urban agglomeration and the subsequent planning of the development of this agglomeration, as well as the model for the formation of logistic schemes, are not fully presented. The dependencies proposed for the assessment by various researchers are not always adaptive, since in most cases, the authors of the studies are not interested in the criteria affecting waste generation, but in the very fact of the possibility of predicting the construction of logistics schemes for waste management. Therefore, this paper analyzes the volume of MSW education in educational institutions, using the example of the city of Moscow (Russian Federation) in various construction options. The authors take into account: the degree of population of the study area, and integrally, in the volume of MSW formation - the processes of internal interdistrict migration; food system built in an educational institution, waste generated by the staff of these institutions. As a result, the authors concluded that already at the planning stage of the development of an urban agglomeration, from the standpoint of waste generation from accompanying social facilities, preference should be given to more concise construction schemes (for example, “infill” construction), while for uniform loading of processing (recycling) facilities should be allocated to the modes of operation of preschool educational institutions and schools in time.
Evolution of human dairy products needs
Authors: Antonova E V , Pashkova I V , Andrukhova V Y
Published: October 2021

The purpose of business activity is to satisfy customers’ and partners’ demands, make profit and ensure the well-being of society. The analysis of dairy industry and population needs is of great importance to commodity experts’ opinion. The objects of the study were world, national and regional (Irkutsk region) needs of the population for dairy products during 2018-2020. Empirical and sociological methods were used to analyze primary and secondary marketing information. There is a negative tendency in dairy foods consumption since it is decreasing annually (the world market by 1.12 % annually, the Russian market by 2.39 % and Irkutsk regional market by 2 %). Dairy products take the first place in the Russian federal consumer basket and make 25.6 %. The recommended annual consumption is 256-361 kg/year, the consumption range for children and adults is 25-34%. Irkutsk regional consumption of dairy products is 17 % lower than the recommended rate. Dairy products are at the top of “healthy” consumer basket and account for 36 % of its volume. The dairy market is moving towards functional food products which contribute to rational nutrition. The target consumers are people aged 15-36. The share of functional dairy products makes 68 % of the functional product market in Irkutsk region. People under the age of 35 tend to choose yoghurts and new types of sour milk drinks. Middle-aged and elderly people most often buy sour cream, cottage cheese and ryazhenka. Consumers over 45 have no interest in functional dairy products. 15 % of consumers tend to choose dairy foods with different flavor additives, 12 % are likely to choose dairy foods with minerals, 9 % prefer bifidus and lactic bacteria, 8 % of consumers choose other dairy foods, the rest of them are fond of classical products. The range of dairy products is increasing, the main emphasis is on fermented milk products. Special attention is being paid to the production of multifunctional foods produced according to the principles of naturalness and a higher biological value.
Design of the formulation composition and technology of finely ground fish semi-preserves with immunomodulatory properties
Authors: Zarubin N Y , Lavrukhina E V , Arkhipov L O , Kharenko E N , Bredikhina O V
Published: October 2021

The paper presents research data substantiating the relevance of the development of ready-to-eat food products in the form of finely ground semi-canned fish containing components with immunomodulatory properties, namely fat-soluble vitamins A and D, polyunsaturated acids of the omega -3.6 group, copper (Cu) and the prebiotic inulin. Due to mathematical modeling, optimal recipe compositions have been designed and a technology for this type of product has been developed. Studies of quality indicators of the developed finished product made it possible to establish its high nutritional value, in particular, its biological value: semi-canned food contains fat-soluble vitamins A (from 386.50 to 443.31 μg/100 g) and D (from 10.39 to 12.96 μg/100 g), polyunsaturated fatty acids of the omega -3.6 group (ω-3/ω-6 - from 1.02/0.08 g to 1.35/0.23 g), an essential trace element copper (Cu - 0.86-1.21 mg/100 g), as well as dietary fiber, in In particular, inulin (3.12-3.49, the amount of which will satisfy the daily physiological need above 15%, which allows us to say about the enrichment of these minor macro- and micronutrients and recommend it as a natural functional food with immunomodulatory properties.
Conceptual approaches to assessing the market potential of poultry meat and its forecast
Authors: Roiter Liay , Eremeeva Nadezhda , Roiter Yakov
Published: October 2021

Poultry meat is a strategic product, which determines the relevance of studying its market from the standpoint of the availability of resources, existing problems, promising directions for expanding this segment and methodological approaches to its assessment. A review of existing methods for such an assessment shows that none of them can be fully adapted to the poultry industry. In this regard, the article under consideration has consistently studied the conceptual apparatus of the market potential of poultry products with its subsequent clarification, and also proposed a model for building relationships between economic entities in the production of this type of product, which were the starting point in the development of conceptual approaches to the methodology for assessing the market potential of poultry meat with its practical implementation in the poultry industry.
The role of geographical indications in the formation of the export potential of the Krasnoyarsk Territory
Authors: Zaychenko E A , Parshikova V N , Surnik A P , Petrenko E V
Published: October 2021

The article highlights aspects of the formation of regional brands. It is shown that the process of their formation can be considered from the standpoint of marketing, as an element of the export potential of the region, using standardization mechanisms, and also as an object of intellectual property that requires protection and protection. The main focus is on the role of “geographical indication”. Such functions as the duty to serve as a means of individualization of a regional product and a means of protection against illegal use of a regional brand are considered. The state and prospects of using the means of individualization of regional goods in the formation of the export potential of the region are characterized by the example of the Krasnoyarsk Territory. According to the authors, in the Krasnoyarsk Territory, there is a need for the formation of a governing body, whose function would include coordinating the efforts of manufacturers, structures in the field of standardization, the sphere of trade, a chamber of commerce and industry on the legal registration of regional products using geographical indications as a means of individualization.
Rapeseed production as a promising direction for the agricultural complex development of the Krasnoyarsk Region
Authors: Rozhkova A V
Published: October 2021

The article considers rapeseed production as a promising direction for the agricultural complex development of the Krasnoyarsk Region The relevance of this topic is primarily related to the relevance of the production sector itself. The variety of cultivation methods, sowing, processing technology, as well as selection used in the study of rapeseed, requires a specific description and definition of each of them. In addition, the relevance is also determined by the demand for this topic, which has now spread around the world. The basis of the activity in this area is, among other things, the variety of options for using rapeseed in the household and in agricultural enterprises. The purpose of this article is to point out the sagging parts of oilseeds development, including rapeseed and its seeds and also to show solutions to these problems. In this paper, various sources of information on the value, cultivation and development of rapeseed in Russia and abroad will be considered. Also, the origin of rapeseed and its value at the moment will be considered.
Ensuring sustainable development of an agricultural enterprise based on improving the management of financial resources
Authors: Sharopatova A V , Olentsova J A
Published: October 2021

In the course of the study, the theoretical and methodological foundations of managing the financial resources of the agricultural enterprise in the system of economic security are considered, the analysis of the performance indicators of the studied agricultural enterprise and assessing the economic security of the agricultural enterprise are carried out, the state of the financial resources of the studied agricultural enterprise and their impact on ensuring economic security are considered. Measures to improve the management of financial resources for an agricultural enterprise as a factor for ensuring sustainable growth of economic indicators of its activities are identified.
Cow’s milk productivity: effects of bull’s genotype and line
Authors: Surkova S A , Gorlov I F , Slozhenkina M I , Barmina T N , Kaidulina A A , Mosolova N I
Published: October 2021

The article presents sire proving results of 11 Holstein stud bulls of three lines of breeding, i.e. Vis Back Ideal 1013415, Reflection Sovering 198998, and Montvik Chieftain 95679. Experimental studies were conducted in the conditions of a dairy complex of OOO agricultural enterprise “Donskoe” in the Volgograd region. Comparative analysis of bulls’ daughters in the first complete lactation with their mothers and herdmates showed that the average milk yield of daughters of bulls under study varied within 8256-9895 kg, the fat content values of milk were 3.80-4.30%, and the protein content values ranged from 3.10 to 3.40%. Seven of the sire proved bulls were recognized as improving bulls with varying degrees of genetic potential realized. The Vis Back Ideal 1013415 bulls’ daughters were found to have superior milk yield in comparison with the Reflection Sovering 198998 and Montvik Chieftain 95679 bulls’ daughters. Moreover, the Reflection Sovering bulls’ daughters outnumbered the Vis Back Ideal bulls’ daughters in terms of the fat content in milk by an average of 0.1%. The milk yields of all evaluated bulls’ daughters exceeded their mothers with respect to the milk yield, which indicated genetic progress over a generation. Thus, the stud bulls that turned out to be improving in terms of the milk yield and fat content will further improve the productive traits of cows.
Adaptive features of the Simmental breed cattle in conditions of the Lower Volga region
Authors: Yu Anisimova E , Gorlov I F , Nikolaev D V , Mosolova N I , Tkachenkova N A , Ponomarev V V , Frolova M V
Published: October 2021

The article presents the results of identifying parental line of Simmental cattle the most stable to aggressive environmental conditions in the Lower Volga region with high milk productivity. The experimental work was carried out at farm-breeding plant named after Lenin of Surovikinsky District of Volgograd Region. All of cows of the farm was distributed among the bulls of different lines, which were selected individually for each one. In total 79 first-calf heifers and 249 full-aged cows participated in the experiment. The assessment of milk productivity of the cattle population was carried out on the basis of data of SELEX program. Productivity of bulls daughters belonging to different breeding lines was examined. Also, as part of the work, the parameters of natural resistance-innate level were studied. The results obtained during the experiment were processed and analyzed using standard methods. it was concluded the most preferred line of cattle for breeding in farm-breeding plant named after Lenin of Surovikinsky District of Volgograd Region.
Water shortage and water management balance in the Republic of Crimea: current values and forecast for 2030
Authors: Tabunshchik V A , Kalinchuk I V , Galkina M V , Vlasova A N , Nikiforova A A
Published: October 2021

The paper analyzes the modern water management balance of the Republic of Crimea in the context of administrative and territorial units. The possibility of using the ArcGIS 10.4 software package for visualization of spatial statistical data that characterize the water balance is shown. The forecast values of the water balance of the Republic of Crimea for 2030 are given. Maps of the current water management balance for the administrative-territorial units of the Republic of Crimea for the current period and for 2030 based on statistical observations have been constructed. It has been established that the territory of the Republic of Crimea is extremely water-deficient and only in certain administrative-territorial units a positive water balance is observed (Bakhchisarai and Belogorsk regions of the Republic of Crimea, Sudak urban district, Alushta urban district and Yalta urban district). At the same time, according to forecasts, by 2030 it will be possible to significantly reduce the water deficit, but a number of regions of the Republic of Crimea will still have a negative water balance.
Optimization of the control algorithm for heterogeneous robotic agricultural monitoring tools
Authors: Zhukov A O , Kulikov A K , Kartsan I N
Published: October 2021

Nowadays, in the agricultural industry, area monitoring is carried out using drones that are not linked to other devices such as ground-based automatic harvesters or drip irrigation systems. This results in a lot of time-consuming decision-making for harvesting ripe different crops or for pesticide treatment of areas of crops that need it immediately. This problem can be solved by using a monitoring system with heterogeneous robotic means, which allows the distribution of tasks between aerial robotic means. The purpose of this work is to optimize the algorithm of the control system for a group of robotic assets using a multigeneric decision-making approach. Many methods of operator decision support, control algorithms for solving the task of agricultural monitoring, used by scientific teams in the development of heterogeneous robotic means do not solve the problem in full. The approach is based on model optimization, namely the theory of auctions within the developed system, allowing to find a robotic system providing the maximum probability of fulfillment of the set task.
Environmental adaptive cultivar model development methods on the spring triticale example
Authors: Grebennikova I G , Cheshkova A F , Stepochkin P I , Aleynikov A F , Chanyshev D I
Published: October 2021

Usage of the optimization algorithms for the service of requests for repair in certain examples. The methodology for developing a model of an ecologically plastic variety of agricultural crops is based on an integrated approach and is built using the following mathematical and software-algorithmic methods: multifactorial correlation and cluster analyzes, calculating the integral assessment coefficient of samples depending on the share contributions of valuable traits, assessing the stability of genotypes by the value of the selection index methods of static and dynamic concept. The general provisions of the method are determined, the results of which make it possible to determine the criteria for a future variety, a complex of qualitative, quantitative, morph-physiological and technological characteristics. A database was created based on the results of field tests for 2018-2020. three varieties of spring wheat and four forms of spring triticale. The database contains digitized data of phenological observations and structural analysis of the studied samples for the period of research and serves to identify the relationships of characters, determine their contribution to productivity and retrospective analysis of breeding data. In accordance with the stages of modeling with the help of the developed software, the elements of the model of an ecologically plastic variety of spring triticale were determined by 14 features. The proposed optimal parameters of the model will increase the efficiency of selection of economically valuable genotypes and targeted selection for adaptability to the conditions of the region to create new high-yielding varieties of spring triticale.
Application of the decision tree method for predicting the yield of spring wheat
Authors: Kalichkin V K , Alsova O K , Yu Maksimovich K
Published: October 2021

The results of the development of predictive models of the yield of spring wheat based on the use of the decision tree method are presented. When constructing the models, qualitative factors were taken into account (the level of intensification, the system of soil cultivation, the placement of the crop after steam) and agrometeorological resources (the sum of active air temperatures, precipitation). The minimum number of input parameters (public data) was used for the generality of the system and its versatility for different natural and agricultural conditions. The efficiency of using decision trees for forecasting wheat yield is shown. The accuracy of the constructed models was evaluated on the training and test samples and the following indicators were achieved (CART method): average absolute error - 3.455 (training sample) and 4.446 (test sample); determination coefficient - 0.895 (training sample) and 0.811 (test sample). A set of rules has been obtained that determine the level of crop yield depending on the complex of control actions and the prevailing conditions.
Application of neural convolutional networks to identify fungal diseases of strawberry leaves
Authors: Aleynikov A F , Barillo D V
Published: October 2021

The ineffectiveness of measures for the prevention and control of diseases of agricultural crops to prevent the spread of pests and diseases on plantations is shown. The necessity of creating automated intelligent systems capable of ground monitoring of the functional state of plants has been substantiated. A convolutional neural network, UNet, has been proposed to solve the problem of recognizing the degree of damage to plant leaves by fungal diseases. Research trials conducted by UNet.
Decision tree as a tool for implementing a scenario approach for multi-level predictive models
Authors: Kumratova A M , Popova E V , Aleshchenko V V , Bykov A A , Bashieva A K
Published: October 2021

The paper presents a decision-making method for a quantitative income estimation depending on the intensity of the future tourist flow, as a complex indicator reflecting the level of the tourist market in a region or in a separate object (a hotel complex, sanatorium, tourist base, etc.). The authors proposed to use a three-level economic and mathematical model as a practical implementation of the hotel complex room stock management process. Each its level corresponds to a specific task. At the first level it is a pre-forecast study, substantiation and selection of forecasting models. At the second it is a forecast model and the quantitative value of the predicted indicator. At the third level it is a model tohelp a decision maker (DM) with decision making, i.e., a decision tree is applied as a tool. Thus, the authors present a complete system of models and methods of decision support. The results of pre-forecast analysis, development of predictive models, building, adaptation and implementation of top-level economic and mathematical models will help decision makers to make effective management decisions. There by the maneuver material resources, choose sales technologies and search for economic solutions, including in tourism recreational production activities.
Method of statistical tests in solving problems of food production management
Authors: Buzina T S , Yu Belyakova A , Ivanyo Ya M
Published: October 2021

The article discusses some of the problems of forecasting and planning the production of agricultural products and harvesting of wild plants in conditions of uncertainty. Variants of their solution using the method of statistical tests are proposed. The factorial regression equations for modeling the yield of grain crops depending on precipitation in the initial growing season and time are given. Two dependencies are considered for different agrolandscape areas. In one case, the relationship between the yield of grain crops and precipitation and time was determined, and in the second, a dependence on precipitation was found. The direct and inverse problems are considered. The conditions for obtaining high and low yields were determined. A linear model for optimizing the placement of grain crops is proposed using the Monte Carlo method for assessing random indicators. The extreme problem is applied to a municipal district with developed agriculture. The results of modeling are presented, which make it possible to estimate the volume of production of grain crops for different levels of productivity, which correspond to the reference probabilities. A multi-criteria parametric model of the functioning of clusters for obtaining food wild-growing products with probabilistic estimates in constraints and a parameter included in the objective function is described and implemented. The yield of wild plants was used as a parameter, on which the sales price depends.
Selection of methods for sterilization of C. purpurea sclerotia for isolation of rye biosecurity agents
Authors: Neshumaeva N A , Timina M A
Published: October 2021

Winter rye is a traditionally cultivated grain crop that is susceptible to ergot, a serious disease of the Poaceae family, caused by C. purpurea. Along with agrotechnical, organizational, and economic methods, biological control of ergot in grain crops is one of the ways to combat this disease. To isolate C. purpurea hyperparasites in a pure culture, the optimal sterilization options were selected, which were to exclude the infection of ergot sclerotia with saprophytic microflora. Before sterilization, C. purpurea were additionally washed in the running water with the addition of SAS for an hour. 70% and 96% ethanol, bleaching agent “Belizna” (Whiteness) were used as sterilizing agents. The exposure time varied from 1 to 12 minutes. Sclerotia were cultivated on potato sucrose agar at 24 ° C. The options for sterilizing sclerotia for 10 and 12 minutes in the “Belizna” bleaching agent were recognized as the best.
Kanamycin application features for the selective screening of genetically modified Populus × berolinensis
Authors: Pavlichenko V V , Protopopova M V
Published: October 2021

The study describes the features of the kanamycin application for the effective selection of transgenic poplar expressing nptII gene. It has been shown that kanamycin concentration of 50 mg L−1 in the nutrient medium is the most suitable concentration for the effective selection of transgenic Berlin poplar plants for both regeneration and rooting stages. At the same time, 50 mg L−1 of kanamycin in the nutrient medium may result in the loss of the less resistant transgenic plants, so lower concentrations may be also applied. Kanamycin concentrations of 25 and 35 mg L−1 can give a false positive signal of transgenesis. Transgenic poplars expressing nptII gene can be effectively regenerated on nutrient media with kanamycin at concentrations up to 100 mg L−1.
Spillway hydraulic performance assessments of the Belogorsk reservoir
Authors: Shubaeva N V , Kipkeeva P A , Volosukhin Y V , Chomaeva M N , Uzdenova H I
Published: October 2021

The article presents the calculation of the hydraulic performance of the spillway structure of the Belogorsk reservoir, one of the largest freshwater bodies on the Crimean Peninsula. Due to its geographical location and natural features, Crimea has always been and remains one of the poorest regions of Russia with water resources and water delivery to the consumers is a priority. Hydraulic performance assessment of the spillway structure is carried out for two design cases: 1) with a variable upstream water level rate and a fully open gate with a = 1.00 m; 2) with a constant upstream water level (UWL) equals highest water level (HWL) and a variable value of the shutter opening. Based on the results of determining the hydraulic performance of the water intake structure, the maximum discharge flow rate (at the mark UWL equals HWL) was obtained, which was Q = 6.06 m3 / s, which is 1% higher than the design data of the throughput of the structure (Q = 6.00 m3 / s) and the total throughput of all spillway structures is Qtotal = 79.32 m3 / s, which differs from the design data by less than 1% and indicates the accuracy and reliability of the obtained data.