bluuebunny/crossref_metadata_2025 huggingface dataset:
Near‐Inertial Wave Propagation in the Wake of Super Typhoon Mangkhut: Measurements From a Profiling Float Array
Authors: Johnston T. M. Shaun , Wang Shuguang , Lee Chia‐Ying , Moum James N. , Rudnick Daniel L. , Sobel Adam
Published: December 2020

Near‐inertial internal waves (NIWs) are generated by inertially‐rotating winds under tropical cyclones (TC). Since NIWs are mostly horizontal, their vertical propagation out of the mixed layer is slow. However, mesoscale vorticity and shear increase vertical group speed by increasing near‐inertial frequency and horizontal wavenumber. To assess NIW propagation, a profiling float array under Super Typhoon Mangkhut in September 2018 made broad and persistent measurements in space and time of density in the upper 200 m and depth‐mean velocity. The TC wake was a region of positive vorticity on its southern side, displayed elevated shear, and thereby enhanced downward propagation of NIWs. The vertical energy flux is estimated as 0.04–0.11 W m−2, which is about 1%–4% (3%–8%) of the mean total (near‐inertial) wind work of 3.0 (1.3) W m−2 calculated from a high‐resolution TC model. Considerable uncertainties arise in the (a) estimated group speed based on wavelength, shear, and frequency and (b) energy density based on depth‐varying density and the NIW polarization relations, which are sensitive to frequency. Following the TC's passage, NIWs propagated southward and horizontal wavelengths decreased from 1,000 to 500 km, as time progressed. Also, we identify an interfacial wave at the mixed layer base, which displaces isopycnals vertically. The following process is suggested. As the North Equatorial Current flows over these displacements, which act as topographic obstacles, secondary NIWs propagate up‐/downward into the mixed layer/thermocline. These waves are 180° out of phase in the mixed layer and thermocline, which can enhance shear at the mixed layer base.
The morphology of VO2/TiO2(001): terraces, facets, and cracks
Authors: Krisponeit Jon-Olaf , Fischer Simon , Esser Sven , Moshnyaga Vasily , Schmidt Thomas , Piper Louis F. J. , Flege Jan Ingo , Falta Jens
Published: December 2020

Vanadium dioxide (VO2) features a pronounced, thermally-driven metal-to-insulator transition at 340 K. Employing epitaxial stress on rutile $$\text{TiO}_{2}(001)$$

TiO
2

(
001
)

substrates, the transition can be tuned to occur close to room temperature. Striving for applications in oxide-electronic devices, the lateral homogeneity of such samples must be considered as an important prerequisite for efforts towards miniaturization. Moreover, the preparation of smooth surfaces is crucial for vertically stacked devices and, hence, the design of functional interfaces. Here, the surface morphology of $$\text{VO}_2/\text{TiO}_2(001)$$

VO
2

/

TiO
2

(
001
)

films was analyzed by low-energy electron microscopy and diffraction as well as scanning probe microscopy. The formation of large terraces could be achieved under temperature-induced annealing, but also the occurrence of facets was observed and characterized. Further, we report on quasi-periodic arrangements of crack defects which evolve due to thermal stress under cooling. While these might impair some applicational endeavours, they may also present crystallographically well-oriented nano-templates of bulk-like properties for advanced approaches.
DEFECTIVE ENDOSPERM-D1 (Dee-D1) is crucial for endosperm development in hexaploid wheat
Authors: Tikhenko Natalia , Alqudah Ahmad M. , Borisjuk Lioudmilla , Ortleb Stefan , Rutten Twan , Wu DanDan , Nagel Manuela , Himmelbach Axel , Mascher Martin , Röder Marion S. , Ganal Martin W. , Sehmisch Stefanie , Houben Andreas , Börner Andreas
Published: December 2020

Hexaploid wheat (Triticum aestivum L.) is a natural allopolyploid and provides a usable model system to better understand the genetic mechanisms that underlie allopolyploid speciation through the hybrid genome doubling. Here we aimed to identify the contribution of chromosome 1D in the development and evolution of hexaploid wheat. We identified and mapped a novel DEFECTIVE ENDOSPERM–D1 (Dee-D1) locus on 1DL that is involved in the genetic control of endosperm development. The absence of Dee-D1 leads to non-viable grains in distant crosses and alters grain shape, which negatively affects grain number and thousand-grain weight. Dee-D1 can be classified as speciation locus with a positive effect on the function of genes which are involved in endosperm development in hybrid genomes. The presence of Dee-D1 is necessary for the normal development of endosperm, and thus play an important role in the evolution and improvement of grain yield in hexaploid wheat.
Cell-penetrating peptides (CPPs): an overview of applications for improving the potential of nanotherapeutics
Authors: Desale Kalyani , Kuche Kaushik , Jain Sanyog
Published: December 2020

Restricted entry into the cells stands as an ultimate challenge for nanotherapeutics to exhibit their efficacy. Cell penetrating peptides can act as a crucial assistant for overcoming this challenge.
Selective catalytic synthesis of short chain oxymethylene ethers by a heteropoly acid – a reaction parameter and kinetic study
Authors: Huth Daniel , Rose Marcus
Published: December 2020

Oxymethylene ethers (OME) are considered as a low-emission additive or replacement to diesel fuel. They can by efficiently produced in a catalytic process using heteropoly acids as catalyst.
LaMer's 1950 model of particle formation: a review and critical analysis of its classical nucleation and fluctuation theory basis, of competing models and mechanisms for phase-changes and particle formation, and then of its application to silver halide, semiconductor, metal, and metal-oxide nanoparticles
Authors: Whitehead Christopher B. , Özkar Saim , Finke Richard G.
Published: December 2020

Are classical nucleation theory and the 1950 LaMer model of particle formation supported for a wide range of particle formations, or do competing models in the form of chemical reaction mechanisms have better experimental support? Read on to find out.
Integrated proteomics and phosphoproteomics reveal perturbed regulative pathways in pancreatic ductal adenocarcinoma
Authors: Tao Lianyuan , Zhong Lijun , Li Yang , Li Deyu , Xiu Dianrong , Zhou Juntuo
Published: December 2020

This study provides a comprehensive insight into dysregulated regulative networks in PDAC tissue samples at the protein and phosphorylation levels.
Profiling of Haemophilus influenzae strain R2866 with carbohydrate-based covalent probes
Authors: Metier Camille , Dow Jennifer , Wootton Hayley , Lynham Steven , Wren Brendan , Wagner Gerd K.
Published: December 2020

Labelling of proteins in Haemophilus influenzae with covalent, carbohydrate-based probes produced distinctive target profiles in lysates vs. intact cells.
Poly[N-(2-acetamidoethyl)acrylamide] supramolecular hydrogels with multiple H-bond crosslinking enable mouse brain embedding and expansion microscopy
Authors: Zhao Peng-Ju , Li Chong , Wang Ya-Long , Fan Cheng , Li Xiangning , Gong Hui , Luo Qingming , Zhu Ming-Qiang
Published: December 2020

Poly[N-(2-acetamidoethyl)acrylamide] supramolecular hydrogels with multiple H-bond crosslinking were synthesized and used for embedding the mouse brain slices and expansion microscopy with enhanced optical resolution and preserved structure integrity.
Diagnosis of fatty liver disease by a multiphoton-active and lipid-droplet-specific AIEgen with nonaromatic rotors
Authors: Park Hojeong , Li Shijie , Niu Guangle , Zhang Haoke , Song Zhuoyue , Lu Qing , Zhang Jun , Ma Chao , Kwok Ryan T. K. , Lam Jacky W. Y. , Wong Kam Sing , Yu Xiaoqiang , Xiong Qingping , Tang Ben Zhong
Published: December 2020

We present a two-photon AIEgen, ABCXF with nonaromatic rotors (–CF3), a high two-photon absorption cross-section, bright red emission in the solid-state, and remarkably high photostability for fatty liver disease diagnosis.
Pericardial fluid proteomic label-free quantification of differentially expressed proteins in ischemic heart disease patients with systolic dysfunction by nano-LC-ESI-MS/MS analysis
Authors: Ullah Junaid , Hashmi Satwat , Ali Arslan , Khan Faisal , Sami Shahid Ahmed , Basir Nageeb , Bokhari Syeda Saira , Sharif Hasanat , El-Seedi Hesham R. , Musharraf Syed Ghulam
Published: December 2020

Proteomics of pericardial fluid from patients with ischemic heart disease having impaired systolic function.
Table-top combined scanning X-ray small angle scattering and transmission microscopies of lipid vesicles dispersed in free-standing gel
Authors: Scattarella Francesco , Altamura Emiliano , Albanese Paola , Siliqi Dritan , Ladisa Massimo , Mavelli Fabio , Giannini Cinzia , Altamura Davide
Published: December 2020

X-ray microscopy combining absorption and SAXS contrast allows the graphical and quantitative description of spatial and concentration distribution of lipid vesicles, evidencing their interaction and aggregation, both in a wet and dry free-standing gel matrix.
One-step enzyme-free dual electrochemical immunosensor for histidine-rich protein 2 determination
Authors: Dip Gandarilla Ariamna María , Regiart Matias , Bertotti Mauro , Correa Glória Juliane , Morais Mariuba Luís André , Ricardo Brito Walter
Published: December 2020

One-step enzyme-free dual electrochemical immunosensor for Malaria biomarker determination.
Efficient activation of persulfate by calcium sulfate whisker supported nanoscale zero-valent iron for methyl orange removal
Authors: Han Yi , Zhou Xian , Lei Li , Sun Huiqun , Niu Zhiyuan , Zhou Ziwei , Xu Zhibing , Hou Haobo
Published: December 2020

In order to improve the utilization of nanoscale zero-valent iron (nZVI) in activating persulfate (PS), a composite material of nZVI/CSW with nZVI supported on calcium sulfate whiskers (CSWs) was synthesized in this study.
Cytochrome c-multiwalled carbon nanotube and cobalt metal organic framework/gold nanoparticle immobilized electrochemical biosensor for nitrite detection
Authors: Huang Shan , Lu Ming , Wang Lei
Published: December 2020

Based on cytochrome c-multiwalled carbon nanotubes (Cyt c-MWCNTs) and cobalt metal organic frameworks/gold nanoparticles (Co-MOFs/AuNPs), an electrochemical biosensor was proposed for the detection of nitrite.
Confined space design by nanoparticle self-assembly
Authors: Dichiarante Valentina , Pigliacelli Claudia , Metrangolo Pierangelo , Baldelli Bombelli Francesca
Published: December 2020

This perspective gives an outlook on the design of interparticle confined nanocavities in self-assembled NP systems and their functional relevance.
Ultrathin MoS2 flakes embedded in nanoporous graphene films for a multi-functional electrode
Authors: Kim Sung-Wook , Hwang Jongha , Ha Seong-Ji , Lee Jae-Eun , Yoon Jong-Chul , Jang Ji-Hyun
Published: December 2020

The ultrathin few-layer MoS2 sheets directly grown on a nanoporous graphene film (MoS2/NGF), which successfully addressed the shortcomings of bulk MoS2 for multi-functional electrodes.
Progress and prospects of thick-film organic solar cells
Authors: Chang Yilin , Zhu Xiangwei , Lu Kun , Wei Zhixiang
Published: December 2020

This review summarizes the development of high efficiency thick-film organic solar cells, and presents the prospect of thick-film organic solar cells for commercial applications in the future.
A magnetron sputtered Mo3Si thin film: an efficient electrocatalyst for N2 reduction under ambient conditions
Authors: Wang Ting , Liu Qian , Li Tingshuai , Lu Siyu , Chen Guang , Shi Xifeng , Asiri Abdullah M. , Luo Yonglan , Ma Dongwei , Sun Xuping
Published: December 2020

Mo3Si is a superior catalyst for electrochemical N2 reduction in 0.1 M Na2SO4, offering a large NH3 yield of 2 × 10−10 mol s−1 cm−2 and a high Faraday efficiency of 6.69% at −0.4 V and −0.3 V vs. a reversible hydrogen electrode, respectively.
Algebraic features of algorithm composition for calculating fractal structure
Authors: Maikov K.A. , Bubnov S.A. , Teplov A.A. , Struchkova S.B.
Published: December 2020

The construction methods analysis of known geometric fractals allows us to reveal algebraic features of fractal algorithms composition. The main concept of the analysis results is fractal operators which are basic operations for constructing fractals of a certain type. The result of using operators for geometric fractals is a structure with fractures of triangular, square, trapezoidal and similar forms. Multiplication and addition operations are introduced for operators, as well as the concept of the unit, null and inverse operator, which allows us to define periodic and quasiperiodic fractal structures. An algorithm for the formation of periodic and stochastic fractal structures is proposed, a distinctive feature of which is the implementation of the probabilistic choice of the basic geometric primitive on the current iterative cycle. The software implementation of the proposed algorithm confirmed the validity of the algebraic approach in studying and modeling fractal with a complex structure.
Predictive analysis of two bijectively related families of functions in L2, which are expressed as tuple pairs
Authors: Mosin V G , Abashkin A. A.
Published: December 2020

This article proposes a method of function image prediction calculation by its preimage. This method is based on regression analysis of function image and preimage pairs in L2. The prediction model application procedure is described. The algorithm pseudocod are given.
Adaptive 3D unstructured mesh refinement
Authors: Gruzintsev I , Kornilina M , Yakobovskiy M
Published: December 2020

Algorithms for generating three-dimensional detailed computational meshes are considered. The algorithms are based on adaptive refinement of the original coarse meshes describing a 3D object. The purpose of adaptation is to form an accurate description of the volume and surface of a three-dimensional object for supercomputer modeling. Refinement of the boundary description is performed by projecting the cut elements of the coarse mesh onto the corresponding elements of the object’s surface.
Machine learning for algorithmic trading
Authors: Kondratieva T , Prianishnikova L , Razveeva I
Published: December 2020

The purpose of the study is to confirm the feasibility of using machine learning methods to predict the behavior of the foreign exchange market. The article examines the theoretical and practical aspects of the implementation of artificial neural networks in the process of Internet trading. We studied the features of constructing automated trading advisors that perform trading operations based on the forecast of neural networks in combination with indicator signals. As a result, a hybrid system has been built that has a high-precision forecast and allows you to make a profit with the correct selection of parameters.
Training a digital model of a deep spiking neural network using backpropagation
Authors: Bondarev V
Published: December 2020

Deep spiking neural networks are one of the promising eventbased sensor signal processing concepts. However, the practical application of such networks is difficult with standard deep neural network training packages. In this paper, we propose a vector-matrix description of a spike neural network that allows us to adapt the traditional backpropagation algorithm for signals represented as spike time sequences. We represent spike sequences as binary vectors. This enables us to derive expressions for the forward propagation of spikes and the corresponding spike training algorithm based on the back propagation of the loss function sensitivities. The capabilities of the proposed vector-matrix model are demonstrated on the problem of handwritten digit recognition on the MNIST data set. The classification accuracy on test data for spiking neural network with 3 hidden layers is equal to 98.14%.
Application of the finite difference method for modeling cantilever bar vibrations
Authors: Volnikov M I
Published: December 2020

The paper is devoted to mathematical modeling of cantilever bars using the finite difference method. This method is widely used in structural mechanics for solving static problems. The novelty lies in the application of the finite difference method to simulate the dynamics of free and forced vibrations of the cantilever. Models have been developed that allow calculating the static and dynamic deflections of the cantilevers during free and forced vibrations, as well as simulating the vibrations of cantilever beams with attached vibration dampers. The resulting models of cantilever structures make it easy to modify system parameters, external influences and damping elements. All calculations were performed using the finite difference approach when moving along geometric and temporal coordinates.
Possibilities of using a miniature fluorescence microscope
Authors: Erofeev Alexander , Gerasimov Evgeny , Barinov Dmitry , Bolsunovskaya Marina , Bezprozvanny Ilya
Published: December 2020

The article discusses an approach to fluorescence microscopy using single-photon miniature fluorescence microscopes. The use of miniscopes allows you to expand the possibilities of their usage and solve many problems related to the need of fixing experimental material, insufficient scanning speed, complexity and high cost of usage. The authors developed a unique algorithm of correlations building based on cross-correlation of neuronal signals and implemented the opportunity to import experiment’s data in csv format. (as well as a utility for converting data from CNMF-E), which allows to import data from other sources. Special attention is paid to the methods of processing neural activity data: filtering the received frames from noise, compensating of image shifts and distortions.
Analysis of the theoretical CVC of electromembrane systems
Authors: Kovalenko A , Urtenov M
Published: December 2020

In a number of recent studies, the authors derived and substantiated a formula for calculating the theoretical current voltage curve (CVC) of electromembrane systems (EMS). This formula was created for the flow cell of desalination of the electrodiaysis apparatus formed by an anion exchange (AEM) and a cation exchange membranes (CEM) in the potentiodynamic mode based on the charge conservation law. In this paper, the formula for the CVC (I –V characteristic) is investigated, its physical meaning, and the contribution of various factors to the CVC are revealed. A new simplified formula is proposed for calculating CVC, stable with respect to rounding errors. The critical values of the current density were determined and the current voltage curve was divided into separate sections. In the article, we showed that for characteristic values of the average flow rate of the electrolyte solution, the initial concentration in all sections of the CVC, the contribution of the convective current is small. The main role belongs to the electromigration (ohmic) current, especially in the overlimiting sections of the current – voltage curve. The contribution of the diffusion current in limiting and underlimiting sections is quite significant, although less than the ohmic current.
Mathematical modeling of an effect of refractory metal nanopowders on the strength of concrete
Authors: Papkova Yu , Papkov S , Gavrish V
Published: December 2020

The quality of concrete and the reliability of its exploitation in structures and structures are largely determined by such characteristic as strength. Additives increasing the strength can significantly improve the quality of concrete. The aim of this work is mathematical modeling of the effect of refractory metal nanopowders on the strength of concrete. Regression equations of the first and second orders are constructed, which adequately find the dependence of the compressive strength of concrete on the input parameters. For presented model the optimal values of the concentrations of refractory metal nanopowders have been calculated.
Taking into account camera tilt when correcting a three-dimensional model of a hollow pipe during visual diagnostics with a self-propelled complex
Authors: Petrenko E , Kornilov R , Dolgov V , Lukianov E
Published: December 2020

This paper investigates the problem of assessing the degree of pipe deformation and the deviation of its longitudinal section profile from a cylindrical shape based on a three-dimensional point model of a hollow pipe under conditions when this model turns out to be displaced (rotated in space) relative to its real position. An algorithm for correcting a three-dimensional point model based on data on the current tilt of the camera is considered, as well as an algorithm for the actually obtained image overlaid with virtual cross-sections of the pipe, close to ideal.
Development of quality functionals of kinetic processes for the synthesis of composite materials with specified parameters of structure and properties
Authors: Bormotov A
Published: December 2020

The processes of structure formation and features of polymer composites with special properties are investigated, the main kinetic processes that have a decisive influence on the structure formation and properties of polymer composites are identified. The expediency of considering kinetic (transient) processes as a necessary and sufficient sign of the structure formation of a thermosetting is substantiated. A mathematical method for the synthesis of polymer composite materials of increased density using the quality functionals of kinetic (transient) processes is proposed. The proposed mathematical methods and models allow to effectively solve the problem of plasticization and modification of high-viscosity polymers, as well as to carry out multi-criteria synthesis of composite materials with strictly specified parameters of structure and properties using the quality functionals of kinetic (transient) processes.
Organizational and managerial mechanism of digitalization in a transport company
Authors: Markaryan Irina , Datsun Natalia
Published: December 2020

The development of digital economy is to create market incentives, motivations, demand and needs for the use of digital technologies, products and services among transport companies, spheres of life, business and society for their efficiency, competitiveness and national development and welfare of the population. This article provides for the implementation of measures for the implementation of appropriate incentives for digitalization in the transport company, public and social spheres, awareness of existing challenges and tools for the development of digital infrastructure, acquisition of digital competencies by the staff of the transport company, as well as determines the critical areas and projects of digitalization, stimulation of the domestic market, use and consumption of digital technologies. The path to digital economy lies through the use and consumption of information, communication and digital technologies.
Digitalization in management of fishery integration associations
Authors: Dubinina N.A. , Michurina O.Yu. , Barmina E.Yu. , Golivtsova N.N. , Kushner A.A. , Kushner M.A.
Published: December 2020

The paper represents a method for the digitalization in management by creating a Unified Management Information System, which provides an opportunity to analyze the data and expedite the decisionmaking process, to fulfill strategic objectives, maintain and enhance competitive advantages of fishery integration associations. The study proposes a concept of UMIS structure adjusted for the activity peculiarities of integration association member companies, which facilitates greater efficiency of interactions and communication between them. The designed organizational structure, concentrated on the key activities of integration association and built on the principles of centralization, which allows for a creation of a single business model of member companies, serves as a basis for the UIMS implementation.
Methods of developing digital maturity models for manufacturing companies
Authors: Kupriyanova M.V. , Evdokimova E.N. , Solovyova I.P. , Simikova I.P.
Published: December 2020

The research is aimed at analyzing the existing models of digital maturity. The literature review shows that there is scarce information about the theoretical and methodological basis for differentiation of the maturity levels. Most of the evaluation approaches are focused either on digital readiness, or the digital dividends and road mapping. There is a necessity for developing a comprehensive approach to maturity measurement. Hierarchy analysis is proposed as a useful tool for evaluating digital maturity in manufacturing companies. Free software has made the method acceptable in practice. Hierarchy models have been developed for several manufacturing companies to evaluate the digital maturity score and to analyze possible managerial strategies of digitization.
Modeling in solving application-oriented tasks as the basis for the formation of professional competence of future computer science and information technology teacher
Authors: Kononova Z.A. , Altukhova S.O.
Published: December 2020

The article is devoted to the study of matters in solving applied tasks in computer science by using methods of mathematical and computer modeling. These methods allow to create an innovative approach to solving research tasks that are the basis for the development of key competencies of the future teacher of computer science. The article provides an example of building a model of “predator”-“prey”, which includes: a general description of the model, stating the problem, compilation of a mathematical model for dealing with the task, transferring a mathematical model into a computer one. Modeling in the field of dealing with applied tasks is actively used while teaching students at Lipetsk State Pedagogical University named after P.P. Semenov-Tyan-Shanskiy.
The use of information technology during investigative actions
Authors: Shuruhnov N , Voevodina I , Stroilov S , Maslennikova E
Published: December 2020

Despite the fact that activities of authorized persons in during urgent investigative actions are episodic, the absence of responsibility for successful completion of investigation is unacceptable. In this case, law enforcement agencies are fulfilling a single socially important goal, and this should be realized by the relevant officials. Regarding the dynamics of accumulation of information during the investigation of a crime, it should be noted that during urgent investigative actions, an initial array of evidentiary information is formed, which is the result of transformation of initial background knowledge of relevant official regarding what happened under the influence of information obtained by investigative and operational means. The Criminal Procedure Law contains requirements both for the mechanical accumulation of a certain amount of evidence highlighting certain circumstances included in the subject of proof, and for their compliance with strictly established requirements. We are talking about the reliability, sufficiency, relevance and admissibility of evidence, which actually determine the possibility of ultimately using this information in deciding whether a person is guilty or innocent of committing a crime. The required amount of evidence that meets the requirements of reliability and sufficiency ensures the reliability of the evidence base in a criminal case. The evidence obtained should be assessed in the aggregate on the basis of the inner conviction of the person carrying out urgent investigative actions. Their use in the production of further investigation, in the course of court proceedings, depends on how procedurally correct evidence will be collected by the bodies of inquiry during the production of urgent investigative actions.
The cholera spread Simulation
Authors: Baturina N , Anisimova G
Published: December 2020

One of the frequently used modern epidemiological methods is the Simulation of disease spread. We used AnyLogic simulation. During the model construction, we take into account the specific cholera features. They are: the pathways of infection transmission, the course duration and the duration of the incubation (latent) period, the possibility of vaccination, etc.Two approaches are presented here: system-dynamic model and agentbased one. The system-dynamic model is used for strategic modelling of the epidemiological situation, it reflects the global trends. The agent-based approach allows describing the individual behaviour of each agent person, who independently form events conditioning transitions between states.Used together they make it possible to reflect different aspects of the epidemiological process development. The combination of these two models gives more possibilities for their application in a real situation: give the opportunity to impose tactical nuances on strategic modelling.
Estimation of performance of parts and units of a locomotive’s mechanical part
Authors: Shantarenko S. , Kuznetsov V. , Evseev A. , Taranenko V.
Published: December 2020

The paper presents the results of the development and implementation of a method for controlling technological processes of locomotive repair based on network planning, which allows monitoring and adjusting the performance of technological operations for a specific locomotive, taking into account the provision of indicators of technological preparation of repair.
Review of methods and approaches of abandoned lands identification
Authors: Barbotkina E , Dunaieva Ie , Popovych V , Pashtetsky V
Published: December 2020

The paper describes the causes of abandonment of agricultural land in various regions of the world, as well as in Russia and the Republic of Crimea, and explores the existing methods and approaches for identifying such lands using data from remote sensing of the Earth. To identify abandoned lands in Crimea, the MODIS time series analysis method of remote sensing data was used together with ground data on the location of arable land using Vega-Science service. The territory of Krasnogvardeisky and Belogorsky municipal districts of the Republic of Crimea was chosen; for which a vector mask of agricultural lands was created for them. When identifying unused lands to verify the classification and minimize errors, it is necessary to have data on the phenological phases of vegetation and field data on the structure of crops; use identification methods in a complex (expert, automatic classification with various approaches: random forest, vegetation index, arable land, etc.).
Influence of abiotic factors on CO2-gas exchange of Pinus pallasiana, Juniperus excelsa and Arbutus andrachne
Authors: Korsakova S , Plugatar Y , Pashtetsky A , Ilnitsky O
Published: December 2020

The complex interactions among environmental factors as incident light, temperature and soil water content create the need for used physiology-based models which describe plants performance under current and changing climatic conditions. In the present work the net photosynthetic rate of Pinus pallasiana D. Don, Juniperus excelsa M.Bieb. and Arbutus andrachne L. was modeled as a function of light irradiance using the modified rectangular hyperbola model, which is capable of describing the photoinhibition by the non-rectangular hyperbola function. A comparative assessment of the adaptive response of the photosynthetic apparatus plants on the effect of abiotic factors and their strategies in maintaining an optimal water balance in accordance with environmental conditions has been performed. The parameters of light curves of photosynthesis under conditions of full sunlight, moderate shading and drought are determined. In relation to light, Pinus pallasiana is characterized by wider ecological amplitude compared to Juniperus excelsa and Arbutus andrachne. Inefficient use of low-intensity of photosynthetically active radiation by immature plants Pinus pallasiana and Juniperus excelsa indicates poor shade tolerance and inability to resume in shade-type forests. Due to the low plasticity to changes in the light regime, Arbutus andrachne L. may experience a significant lack of light in strong shading. Arbutus andrachne has the highest ability to actively rearrange water regime in accordance with its external moisture supply, which causes the highest drought resistance, and Juniperus excelsa has a slightly lower capacity. Tolerance to hydrothermal stress in Pinus pallasiana is significantly lower than in Arbutus andrachne and Juniperus excelsa.
Evaluation of the air-dry mass of vetch-cereal grass mixtures according to their optimality in the ratio of neutral-detergent (NDF) and acid-detergent fiber (ADF)
Authors: Skamarokhova A S , Yurina N. A. , Bedilo N. A. , Yurin D. A. , Ashinov Y N
Published: December 2020

On the experimental field an experiment was laid to study the productivity of two types of winter vetch: Hungarian vetch (Vicia pannonica Granz) varieties Orlan and Chernomorskaya and downy vetch (Vicia villosa op Roth) varieties Lugovskaya 2 and Glinkovskaya. The vetch was sown in a mixture with winter wheat (Triticum aestivum L.) variety Tanya. Various doses of mineral fertilizers. Phosphorus (superphosphate) and potassium (potassium chloride) were introduced during sowing, nitrogen (calcium nitrate) – as early spring feeding. As a control, we studied the variety of furry vetch Lugovskaya 2, since this is the most popular variety of winter vetch in the Krasnodar Territory. The soils of the experimental plots are represented by leached, low-humus heavy loamy powerful chernozem. Due to the limited feed intake, the diets of high-yielding cows are rich in highly digestible non-structural carbohydrates (ADF), which fermentation leads to the formation of a large amount of propionic acid in the rumen with a strong acidic effect and, conversely, NDF fermentation is slower and on a smaller scale. The variant winter wheat Tanya + winter vetch Lugovskaya 2 - is closer to the optimum in the second cut. The rest of the experimental options of vetchwheat and vetch-triticale grass mixtures also have a negative fiber balance, which is not acceptable for feeding high-producing dairy cattle.
The effect of macro- and micro-fertilizers on spring wheat productivity
Authors: Isaychev V , Andreev N , Kostin V
Published: December 2020

The purpose of the study was to explore the effectiveness of various modifications of the preparation Megamix and complex macrofertilizers in cultivation of the spring wheat variety Ulyanovskaya 100 in the forest-steppe of the Middle Volga region. The factors used in the experiment contribute to a yield increase by 0.37 - 3.12 c / ha. The use of the Megamix-Zinc modification with complex mineral fertilizers gives the greatest yield increase compared with the control group which amounts to 11%. All modifications of the Megamix preparation have a positive effect on the structure elements of the spring wheat yield. The highest test weight is observed in the Megamix-Zinc option with previous application of mineral fertilizers. The increase in this indicator from the factors used was 4.8 - 18.7 g / l, depending on the option. Under the influence of the studied factors, the vitreousness of the spring wheat grain increases by 1.28 5.83%. Top dressing has a positive effect on the weight of 1000 seeds. This indicator increased by 0.49 - 2.80 grams, compared with the control option.
Growth features of Juniperus excelsa M. Bieb. in the conditions of field vegetation experiment and in greenhouse on the Southern Coast of the Crimea
Authors: Ilnitsky O , Plugatar Y , Pashtetsky A , Korsakova S
Published: December 2020

Different climatic conditions of the greenhouse and open ground determine the growth characteristics of Juniperus excelsa M. Bieb. During the studied vegetation period, three periods of trunk diameter growth were observed in the field vegetation experiment: in March–May, two growth peaks – at the first peak – 1% (0.68 mm), at the second one – 8.83% (3.72 mm). In July-August by 4.74% (1.69 mm), and in SeptemberOctober by 4.9% – (1.53 mm), the increase in the trunk diameter for 2019 was 18.96% or 7.62 mm. In greenhouse conditions, there were two growth peaks: in March-July, the first peak was an increase in d,% by 7.12% (1.11 mm) – while there was a slowdown in growth (April, 28 –May, 27) and (July, 13 – July, 25). The second peak is an increase in d,% by 5.06% and a slowdown in growth (November, 05 – November, 14). Total increase in d,% was 12.18% (1.899 mm). The increase in d,% in the conditions of vegetation experiment is 6.48% more than in the greenhouse conditions. Optimal and limiting values of the studied parameters of the environment and d,% for both research variants are found, and equations of nonlinear dependence between them are constructed. An increase in air temperature to 30-35°C causes a decrease in growth intensity. The research made it possible to determine the optimal and limiting conditions for the growth of this species in the conditions of the Southern Coast of the Crimea and the possibility of its introduction to other regions.
Les répercussions liées à la COVID-19 sur les processus d’admission en médecine
Authors: Leduc Jean-Michel , Bourdy Christian , Loye Nathalie
Published: December 2020

Contexte et problématique : La pandémie de COVID-19 a causé de nombreuses perturbations dans les programmes de formation en amont des processus de sélection en médecine et a rendu difficile, voire impossible, l’utilisation de certains outils comme les entrevues en personne. Cette situation aura des répercussions importantes sur le choix et la validation des outils de sélection en médecine pour les années à venir, autant pour l’évaluation du rendement académique que pour l’évaluation des qualités personnelles. Analyse : Cette réflexion vise à évaluer dans quelle mesure ces impacts peuvent se faire sentir en utilisant comme référence le modèle de validation de Kane et propose certaines pistes de solution et d’investigation pour tirer des leçons de cette situation exceptionnelle.
Information content of corporate reports of US medical companies
Authors: Kuznetsova Julia
Published: December 2020

The document shows that corporate reporting is not only a source of information about the current state, results and trends of the company’s development, but also a thing that transfers its image to the external and internal environment. It is determined that the transfer of a charitable image to external recipients of such information about the companies’ activity operating in the social services is especially important. Based on the analysis of 10-K form reports in the 10 largest medical companies in the United States there were revealed information blocks, focusing on which the consumer will pay attention to a particular company, and not a competitor’s company.
Developing a FinTech Ecosystem in Vietnam: Opportunities and Challenges for Startups
Authors: Hao Van Thien
Published: December 2020

In the article, the author has analyzed the current situation of fintech market development and Vietnam’s startup ecosystem in recent years. The research results show that, in the past 3 years, the number of fintech companies in Vietnam has nearly quadrupled, the market value in 2020 is estimated at 9 billion USD. With 72% of adults using smartphones, nearly 64% of the population using the Internet, along with the young generation of technology-savvy, the explosion of e-commerce and the support of the Government, Vietnam is a potential market for implementing tech startup models. Opportunities and challenges for fintech startups in Vietnam have been discussed by the author, from which solutions to develop fintech ecosystems are proposed in the upcoming time.
Legal regulation of the circular economy and ecology: current issues
Authors: Mukhlynina Мaria , Mishina Natalia , Vedysheva Natalia , Shikula Ilmira
Published: December 2020

The problem of legal regulation of the circular economy and ecology, sustainable management of municipal solid waste at the legal and organizational levels both in the Russian Federation and in the world is now coming to the fore and requires immediate solutions. Examining strategic planning documents and other legal acts, the authors attempted to examine current legal problems in the study area in the context of modern state of ecological policy of Russia and the implementation of circular economy, realizing the sustainable development goals of the UN in the environmental area. The authors suggest that a legal assessment of the possibility of transition of Russian industrial companies to a closed-loop economy is necessary, which is associated with an active approach to processing the materials of their products after the stage of use. In conclusion, a number of conclusions are drawn about the legal acts adopted in the Russian Federation and the organizational measures being implemented that contribute to solving various problems related to the sustainable development of the most important segment of the economy and the environment – the disposal and processing of waste, reducing its volume and the possibility of secondary use due to the development of the circular economy. Innovation is an important condition for this transition.
Forecasting Innovative Development of a Company in the Process of Transformation
Authors: Shvaika Olga , Kupriyanova Marina
Published: December 2020

Innovation is traditionally considered to be an effective instrument of development for industrial enterprises, even at the time of crisis. However, as practical observations show, non-systematic and inconsistence innovative changes may lead to poor results. The sustainable innovative growth is gained as a result of in-depth transformation of all the system elements. The purpose of the research is to formulate an approach to evaluating the expected effect of transformation and restructuring an industrial company and to forecast the perspectives of innovative development. The methodological basis for the research refers to the ideas of the fuzzy set theory and the axiomatic methods of analysis. The axiomatic method makes it possible to construct formalized descriptions of a company and to achieve a sufficient level of detachment. Such descriptions, or texts, may be interpreted by managers as concise information for decision-making. The results of the research find a practical application as tools of evaluating the expected effect of innovation and transformation.
Implementation of CSR in the organizations’ strategies: experience of Russia and Belarus, directions of methods and tools development of CSR in the conditions of digitalization of economies
Authors: Yaheva Galina , Plakhin Andrey , Vailunova Yulia , Selezneva Maria
Published: December 2020

The purpose of the article is to analyze the experience of introducing CSR in the Union State of Russia and Belarus and to develop directions for the development of CSR methods and tools in the context of the digitalization of the economies of Russia and Belarus.The article systematizes methods for assessing CSR at the macro and micro levels: compliance with international CSR standards; involvement in the UN Global Compact; indices for assessing the effectiveness of companies in the field of CSR; ratings and indices for assessing the effectiveness of CSR, developed by public and state organizations.The analysis of the experience of CSR implementation in the Union State of Russia and the Republic of Belarus is carried out. Identified barriers to the development of CSR in Russia and the Republic of Belarus. The directions of development of CSR methods and tools in the context of digitalization of the economies of Russia and Belarus are studied. Scientific significance lies in the development of CSR methods and tools in the context of digitalization of economies. The study used modern scientific literature on the digital ecosystem and CSR, statistical and analytical materials found on thematic Internet sites and in print media. The practical significance of the results lies in the possibility of their use by state and regional authorities, business in CSR strategies, as an integral part of the strategy for sustainable development of the economy, for making decisions aimed at increasing the stability and competitiveness of the economies of the Union State.
Business model of regional institutional design of digital state entrepreneurship: management aspect
Authors: Golovina Alla Nikolaevna , Levchenko Roman Yurevich
Published: December 2020

In the article, the authors present the transformation of the concept of “institutional design”. Its methodological core is considered in the context of the social and information and communication direction of digital state entrepreneurship. They offer the author’s business model of the regional institutional design of digital state entrepreneurship.
Was bringt Public Reporting von Qualitätsdaten?
Authors: Tobler Stephan , Stummer Harald
Published: December 2020

Zielsetzung Public Reporting (PR) von Qualitätsdaten gehört zu modernen Gesundheitssystemen. Jedoch zeigen aktuelle Reviews, dass der Nutzen begrenzt ist. Mit dem Nationalen Verein für Qualitätsentwicklung in Spitälern und Kliniken (ANQ) hat man auch in der Schweiz ein Messprogramm etabliert. Er misst in den stationären Sektoren unter anderem die Patientenzufriedenheit. Insbesondere bei den Leistungserbringern interessieren die Verhaltensstrategien auf solche Initiativen, da man idealerweise von einer Übernahme ins interne Qualitätsmanagement ausgeht.

Methodik Semistrukturierte Interviewstudie von Seniormanagern in Deutschschweizer Rehabilitationskliniken unter Berücksichtigung des Neo-Institutionalismus.

Ergebnisse Seniormanager wenden eine Fülle von Verhaltensstrategien an, wobei zustimmende und ablehnende Strategien gleichzeitig vorkommen.

Schlussfolgerungen Externe Qualitätssicherungssysteme, wie der ANQ, führen nicht zwangsläufig zur Berücksichtigung für die interne Qualitätsarbeit. Vor allem lokale Faktoren scheinen erfolgskritisch für PR.
Aortic Thickness: A Forgotten Paradigm in Risk Stratification of Aortic Disease
Authors: Hardikar Ashutosh , Harle Robin , Marwick Thomas H.
Published: December 2020

Background This study aimed at risk-stratifying aortic dilatation using aortic wall thickness (AWT) and comparing methods of AWT assessment.

Methods Demographic, epidemiological, and perioperative data on 72 consecutive aortic surgeries (age = 62 years[standard deviation (SD) = 12] years) performed by a single surgeon were collected from hospital database. Aortic thickness was measured on computed tomography scans, as well as intraoperatively in four quadrants, at the level of aortic sinuses, as well as midascending aorta, using calipers. Aortic wall stress was calculated using standard mathematical formulae.

Results The ascending aorta was 48.2 (SD = 8) mm and the mean thickness at ascending aorta level was 1.9 (SD = 0.3) mm. There was congruence between imaging and intraoperative measurements of thickness, as well as between the radiologist and surgeon. Preoperatively, 16 patients had multiple imaging studies showing an average rate of growth of 1.2 mm per year without significant difference in thickness. The wider the aorta, the thinner was the lateral or convex wall. Aortic stenosis (p = 0.01), lateral to medial wall thickness ratio (p = 0.04), and history of hypertension (p = 0.00), all had protective effect on aortic root stress. The ascending aortic stress was directly affected by age (p = 0.03) and inversely related to lateral to medial wall thickness ratio (p = 0.03).

Conclusion Aortic thickness can be measured preoperatively and easily confirmed intraoperatively. Risk stratification based on both aortic thickness and diameter (stress calculations) would better predict acute aortic events in dilated aortas and define aortic resection criteria more objectively.