Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

Currently, many different algorithms have been developed that implement the classification problem. Of particular interest is the use of automatic classification algorithms in radar systems. In each such system, one has to solve the classification and recognition problem for detected targets. The work of an operator analyzing the information can take place in conditions that hinder assess of the control object’s state. This is due to the absence or insufficient amount of reliable information about some radar target properties. A radar target is understood as any material object that can be detected, and its location and movement parameters can be measured using radar methods. We consider air, ground and surface objects as a radar object. Object classification algorithms are used in various fields when analyzing the properties of an object. This paper discusses the main methods for the classification of radar objects.

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With the transformation of technologies, the requirements for labor resources are also being modified, for which it will be necessary to adapt to the latest circumstances and trends in the labor market in the short term. Therefore, it is important to have work skills and competencies that are practically significant and relevant for a potential employer. The sectoral nature of the economy, technologies implemented by companies and technical production equipment set the tone for the professional structure of personnel and the demand for labor resources, considering professional competencies. According to experts, to adapt and respond to uninterrupted technological progress in the future, people will alternately master about 10 professions throughout their lives. Today, as in the last 5-7 years, the demand for IT specialists is actively developing, to a greater extent for system and computer developers and analysts, and security experts. Modern employers point out that development skills along with easy learning new things are the priority qualities of potential employees. In addition: the ability to correctly respond to the introduced technological changes; communication skills not only within a single specialty, but also far beyond its framework; processing the large information volumes. The priority competencies of personnel are closely linked to the technological space and economic digitalization of Russia.

Exploring the agro-ecological limits is necessary in sustainable agriculture development. Soil contamination and erosion are two main indices in land vulnerability evaluation. Raizal and Pantanal models within MicroLEIS DSS, the Ero&Con package, were established in identification of vulnerable areas due to erosion and contamination risks, respectively. This study was performed in Miandoab region under different land-use scenarios with approximately 5269 ha extension in the North-West of Iran (west Azarbaijan). The extracted morphological and analytical data from 62 soil profiles representative of the study area were used as basic information. A total of 17 land unites were then classified according to the Geopedologic approach. The benchmark soil profiles were categorized as Typic Torripsamments, Typic Haploxerepts, Typic Haplocambids and Typic Haplargids. The results taken by using the aforementioned models were presented as an attainable mode whereas the management practices were not mentioned. The application of Raizal model revealed that the water erosion has less impact than wind erosion on vulnerability classes whereas climate change will result extremely high vulnerable area in the future. In terms of soil contamination risks resulted by Pantanal model, phosphorous risks were classified in V2 (23%) and V4 (77%). Also, heavy metal and nitrogen as well as pesticide contamination vulnerability risks were classified as V3 and V4. Since there was no different in classes when cultivating maize and wheat, the attainable vulnerability classes are equal with the actual ones. Overall, this research demonstrates that application of models increase our understanding about the behavior of soil and landscape interactions.

Due to the need to produce healthy and high-quality food, current agricultural production systems are venturing into the use of sustainable and safer methods for pest control and improvement of plant nutrition. Among these methods, the use of the microbial biocontrol fungus Trichoderma spp. has been widely studied as a promoter of plant growth. However, in Nicaragua there are few studies on this genus. The present study aims to identify and quantify the potential of native isolates of Trichoderma spp., as promoters of growth and weight in tomato plantings. The conidia solution of Trichoderma spp. used during this study, was obtained from a diluted stock solution at a concentration of 108 conidia/ml, using 1 ml of solution in the seed substrate. Treatments evaluated were T1: T. harzianum; T12: T. asperelloide; T11c: T. viride; T8: T. songyi; F2TG-11: T. brevis; T3: T. asperellum; CIXD-07: T. virens. One milliliter of sterile distilled water was added to the control treatment (without inoculation). All trays were kept in the dark at 28±2°C. The variables to be measured were height, weight, length of the roots of seedlings, the measurement was made 25 days after emergence. Results demonstrate that, when compared with control treatment, the isolates of T. harzianum and T. viride show highest growth promoting potential, obtaining a gain of 38.8% and 22.6% in height, 72% and 46.3% in weight and 70% and 36.3% in root length, respectively.

In today's world, electronic shopping through various hardware has been developed to a great extent. Cellphones can help in to provide knowledge, course contents, interact with others and remote purchase. One of the necessities that plays an important role in today's chaotic environment is the concept of e-commerce. Despite the newness of this concept, e-commerce has made tremendous progress and especially recently in Iran, there has been an increase in its tendency, but on the other hand, since the goods in e-commerce are not tangible like in traditional commerce, it needs to follow a different approach. The current research is an applied research that examines the concepts of e-commerce, e-shopping, marketing mix and the relationship between them. The results showed that among all factors (independent variables), Product had the highest impact on customers' purchase intentions.

The new educational trends imply a change in the role of the university professor who contributes to the improvement of his scientific, investigative and innovative knowledge, applying himself in the teaching and learning process according to the context, assuming an always constant attitude of reflection, criticism and motivation, reflecting in the knowledge acquired and demonstrated in the students. In this sense, a methodology was developed for the analysis of factors that affect educational quality at the National University of Engineering (UNI) in the period from 2008 to 2021, the purpose being; the identification of those actions that promote educational quality at UNI and therefore in the improvement of classroom processes where the teacher is a facilitator, tutor and knowledge manager. In this order of ideas, it can be expressed that within these identified factors, the role of the teacher in classroom processes is paramount and must be focused from mediation and didactic communication, articulated with the scientific domain without ignoring the values ​​that are paramount in student learning training.

Research aimed to reveal the character of the links between main modern trends in the economy and society and the development of tourism as one of the sectors of the Russian economy, on the one hand, and the type of human activity, on the other. In order to realize this goal, the main trends of the modern Russian economy were identified: economic crisis caused by pandemic coronavirus; rapidly developing digitalization of economy; the growing influence of ecological component on economic development and the increasing role of customer orientation in providing competitive positions of business. The study of trends in tourism, based on the use of methods of statistical analysis, confirmed the hypothesis that tourism is the sphere in which they are most clearly manifested. In particular, it concerns the following regularities: tourism as a branch of the Russian economy has suffered the most because of the economic crisis caused by pandemic coronavirus; tourism is the sector of the economy in which digitalization penetrates most actively; natural resources of Russia create boundless possibilities for ecological tourism development; client-oriented approach in tourism is not a declared principle, but a real business philosophy in modern conditions; increasing demands of Russian tourists for safe.

The paper presents research into the effects of macro-roughness on the leading edge of the plate imitating excrescences on the fins of humpback whales on the value of hydrodynamic losses. The authors compare calculations with experimental results obtained on a hydrodynamic flume. All studies are performed using the Ansys CFX and Autodesk CFD computer simulation packages. Based on the obtained findings, the authors make conclusions on the feasibility of applying macro-roughening on the leading edge of the plate. The conducted computational and experimental research demonstrates the positive effects of a certain configuration of spherical macro-roughness on the hydrodynamic characteristics of the plate in the case of spillage in an open-type hydrodynamic flume.

When developing canning technologies raw material processing processes thermophysical calculations are inevitably used. This work's purpose is to analyze the tropical fruits thermophysical characteristics. The research objects were the following fruits: kiwi, papaya, avocado and figs. The stationary flat layer method was used to analyze the thermal conductivity. The cryoscopic temperature was determined by the thermogram flat surface which was obtained during the product freezing. The hydrostatic weighing method was used to determine the density. The sugar content was determined using the refractometric method. The moisture content was determined by drying-out to a constant mass. As a result of the carried out work, the physical and chemical parameters of kiwi, avocado, papaya and figs were determined. The thermophysical properties of tropical fruits such as heat capacity, cryoscopic temperature, thermal conductivity, and the amount of frozen moisture, were calculated.