Practical Tasks Research Articles

РАЗРАБОТКА МЕТОДИЧЕСКИХ ОСНОВ ОРГАНИЗАЦИИ ПРОВЕДЕНИЯ УЧЕНИЙ АВАРИЙНО-СПАСАТЕЛЬНЫХ СЛУЖБ ДЛЯ ОТРАБОТКИ ДЕЙСТВИЙ В ЧРЕЗВЫЧАЙНОЙ СИТУАЦИИ АВАРИИ ВОЗДУШНОГО СУДНА

The tasks that need to be worked out during exercises to improve the safety and efficiency of the organization of air traffic are considered. The main problem in solving the problems of fire safety is the time to make a single correct decision when carrying out rescue operations. Recently, exercises involving all responding units have become widespread because they can help to work out the practical tasks of rescuing people and the most rational management decisions in conditions of limited initial information and the presence of many criteria that can not be foreseen. This article considers the issues of management and interaction of fire-fighting, rescue, canine and other services during fire-extinguishing and tactical exercises to organize fire-fighting and rescue of people in situations of aircraft accidents. On the basis of the accumulated world experience in aircraft accidents and the analysis of the consequences of various aircraft accidents, the methodological recommendations for training of rescue units in simulating emergency situations of aircraft in various variants of abnormal situations were worked out.

Robust vision detection of pipeline solder joints

PurposeSolder joint inspection plays a critical role in various industries, with a focus on integrated chip (IC) solder joints and metal surface welds. However, the detection of tubular solder joints has received relatively less attention. This paper aims to address the challenges of detecting small targets and complex environments by proposing a robust visual detection method for pipeline solder joints. The method is characterized by its simplicity, cost-effectiveness and ease of implementation.Design/methodology/approachA robust visual detection method based on the characteristics of pipeline solder joints is proposed. With the improved hue, saturation and value (HSV) color space, the method uses a multi-level template matching approach to first segment the pipeline from the background, and then match the endpoint of the pipeline to accurately locate the solder joint. The proposed method leverages the distinctive characteristics of pipeline solder joints and employs an enhanced HSV color space. A multi-level template matching approach is utilized to segment the pipeline from the background and accurately locate the solder joint by matching the pipeline endpoint.FindingsThe experimental results demonstrate the effectiveness of the proposed solder joint detection method in practical detection tasks. The average precision of pipeline weld joint localization exceeds 95%, while the average recall is greater than 90%. These findings highlight the applicability of the method to pipeline solder joint detection tasks, specifically in the context of production lines for refrigeration equipment.Research limitations/implicationsThe precision of the method is influenced by the placement angle and lighting conditions of the test specimen, which may pose challenges and impact the algorithm's performance. Potential avenues for improvement include exploring deep learning methods, incorporating additional features and contextual information for localization, and utilizing advanced image enhancement techniques to improve image quality.Originality/valueThe proposed pipeline solder joint detection method offers a novel and practical approach. The simplicity, cost-effectiveness and ease of implementation make it an attractive choice for detecting pipeline solder joints in different industrial applications.

Methodology for Measuring the Dose Rate of Pulsed Bremsstrahlung Radiation using Gamma Radiation Dosimeters with Geiger-Muller Counter

Introduction. Industrial monitoring of pulsed bremsstrahlung radiation is associated with a number of challenges. Russia produces only three dosimeters that can be used for measuring pulsed bremsstrahlung radiation with a pulse duration of less than 10 gs. These dosimeters, in addition to being rather expensive, have a number of significant restrictions on the energy range (10 MeV) and the minimum pulse duration (10 ns). The DKG-RM1621 dosimeter with a Geiger-Muller counter can be used for dosimetry of photon radiation with energies up to 20 MeV. However, this device is not intended for dosimetry of pulsed radiation.Aim. Development of a methodology for conducting radiation monitoring of pulsed bremsstrahlung radiation sources using dosimeters with Geiger-Muller counters.Materials and methods. In 2021, measurements of the dose rate of pulsed bremsstrahlung radiation with a maximum energy of 3.0 MeV at pulse repetition rates of 50, 100, 150, 200, 250, 300, and 400 Hz were carried out using DKS- AT1123 (as a reference) and MKS-AT117M dosimeters with a Geiger-Muller counter.Results. A technique was developed for correcting the results of measuring the dose rate of pulsed bremsstrahlung radiation by a dosimeter equipped with a Geiger-Muller counter, which allows the dose rate of pulsed bremsstrahlung radiation to be measured with an additional error of less than 15 % in a practically significant range of dose rates. For the MKS- AT117M dosimeter at a pulse repetition rate of 400 Hz, this value was 320 gSv/h, which is sufficient for most practical tasks in radiation monitoring.Conclusion. The feasibility and possibility of successful application of dosimeters with Geiger-Muller counters for dosimetry of pulsed bremsstrahlung radiation using the proposed measurement technique with a limitation on the maximum measured dose rate is shown.

Secondary school students’ understanding of circular economy and recycling at a small rural school

Biology education plays a crucial role in bridging the gap between science and society. This is of high interest and relevance for several reasons helping students to become biologically literate and understanding basic biological concepts and principles as healthcare, environmental issues, and sustainability. The aim of this study was to investigate the understanding of the 9<sup>th</sup> grade and the 12<sup>th</sup> grade students regarding circular economy and recycling. To achieve the objectives, a study was conducted with the convenience sample, involving students from a rural school. The sample was made up of 27 students, including 17 students from the 9<sup>th</sup> grade and 10 students from the 12<sup>th</sup> grade. The prior knowledge of students was assessed by the tool of drawing on the topic of the circular economy and recycling. A two-hour training module was created and carried out, including several practical tasks followed by fulfilling the compliant worksheets. The effectiveness of the module was assessed by the questionnaire focused on the new information received during the module and the general feedback of the module was gathered from the students. The results were analyzed using qualitative content analysis and descriptive quantitative research methods. The findings revealed that the understanding of circular economy and recycling among the 9<sup>th</sup> grade and the 12<sup>th</sup> grade students was different, expressed in the categories of pre-knowledge and the secondary school students are aware of the importance and purpose of circular economy and recycling. The differences appaired in the students’ obtained knowledge and changed attitudes of the 9<sup>th</sup> grade and the 12<sup>th</sup> grade students and the improvement of attitudes and willingness to behave in a sustainable way surpassed the increase of understanding of term “circular economy”.<i> </i>

THE POINT SYSTEM OF ASSESSMENT WITHIN THE AUTOMATED EDUCATIONAL AND TECHNOLOGICAL COMPLEX

A point system that stimulates the systematic work of the student, ensures the completeness of the course development and an automated, objective, qualitative assessment of the level of education is presented. The research was conducted on the basis of data obtained during the operation of the automated educational and technological complex of education at the MIREA Institute of Information Technologies, during practical classes and course work on the discipline of object-oriented programming in the algorithmic language C++. The methodology of preparation of educational material, practical tasks, organization of the educational process and mathematical support for determining the score is proposed. The results obtained are practically used within the framework of an educational and technological automated complex for organizing and conducting practical classes and completing coursework in the discipline of object-oriented programming, can be used by a wide pedagogical community of higher educational institutions. The novelty the research is the unification of the organizational component of the educational process, stimulating the systematic work of the student, ensuring the completeness of the course development and automated objective assessment of the quality of education. The proposed set of formulas contains many possible variations. This will allow the proposed point system to be easily adapted to the specific requirements of other educational institutions and disciplines.

Autonomous Vision-Based Navigation and Stability Augmentation Control of a Biomimetic Robotic Hammerhead Shark

The application potential of robotic fish embedded with intelligent visual navigation algorithms in underwater autonomous operation is on full display recently. However, the existing visual navigation methods are limited by the underwater visual conditions and the motion characteristics of robotic fish. To this end, this paper proposes a novel autonomous navigation framework integrated with visual stabilization control. In practice, a stereo vision-based navigation network is proposed to generate the guidance law. On this basis, a biomimetic robotic hammerhead shark with a controllable cephalofoil is developed, and a nonlinear model predictive controller for cephalofoil stabilization relying on the dynamic model is elaborately designed. Extensive simulations and underwater experiments are conducted to validate the effectiveness and superiority of the proposed methods, which significantly enhance exploration efficiency and reduce image jitter by 26.02% compared to the traditional methods. The obtained results provide a new idea for underwater robots to autonomously explore the ocean. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper is motivated by the problem of vision-based underwater autonomous navigation for a biomimetic robotic fish that possesses underwater visual stability and good maneuverability. The existing visual navigation networks usually generate unexpected navigation instructions when dealing with complex or ambiguous underwater scenes. Additionally, image jitter caused by the rhythmic motion of robotic fish can lead to navigation failure. This paper suggests an integrated navigation framework that includes a biomimetic platform design, a visual stabilization controller, and an intelligent underwater navigation network. Specifically, a novel sphyrnidae-inspired robotic shark is designed as a new platform with superior motion performance. To enhance underwater visual stability, a nonlinear model predictive control-based visual stabilization controller is proposed. Furthermore, a deep stereo attention navigation network based on a parallax attention mechanism is proposed to improve the generalization of vision-based autonomous navigation. A series of underwater search experiments on the robotic shark demonstrate the effectiveness and superiority of the proposed navigation framework. Hopefully, our proposed methods can provide valuable guidance and support for universal underwater robot navigation to accomplish practical marine tasks, such as underwater rescue, resource exploitation, biological observation, and so on.

Адаптивная интеллектуальная обучающая система

&lt;p&gt;The goal of the work is to create a modern adaptive intelligent system using current machine learning technologies to automate a significant part of the teacher&amp;rsquo;s work. Existing intelligent systems, the purpose of which is to train students to work in various subject areas, currently have a set of various disadvantages, for example, the need to prepare educational material in a given format, which is sometimes a very labor-intensive task. In addition, in such systems there is a need to assess knowledge to correct the training plan for students, which requires various practical tasks for their formal presentation. In this case, practical assignments must be compiled by the course author, which can also be very labor-intensive. The novelty of the adaptive intelligent system presented in the work lies in the improvement of learning approaches using the latest machine learning methods. To help the teacher prepare educational material provides the ability to create video material automatically. This approach provides an opportunity for students to receive material not only in text form, but also in video format, without increasing the labor intensity on the part of the teacher. In addition, the teacher will be given the opportunity to manipulate versions of educational materials in accordance with the statistics provided by the system on student performance.&lt;/p&gt;

Методология матричного моделирования многокомпонентных многопоточных многоступенчатых энергетических комплексов

Traditionally, heat transfer problems are solved in relation to two-flow systems in which heat exchange is carried out between hot and cold coolants. However, along with two-flow systems, there are often multiflow systems in which the number of coolant flows is three or more. In addition, each energy carrier stream may consist of several components, and the installation may include several stages. Thus, the development of universal approaches and methods for modeling, calculation, and optimization of multi-component multiflow multistage energy complexes within the framework of a unified methodology is an urgent scientific and practical task. A methodology of matrix formalization of modeling heat and mass transfer processes is based on methods and approaches of matrix description of heat and mass transfer systems in energy complexes. The approaches and methods of modeling energy power installations are summarized. Within the framework of the matrix description methodology, the rules and approaches to the development of models of heat and mass transfer processes are formulated in relation to multicomponent multiflow multistage energy complexes. The authors have proposed a solution to the inverse problems with and without considering a phase transition in coolants. Analysis of formulated and solved problems within the framework of the proposed methodology allows us to recommend the use of methods and approaches of matrix modeling of equipment to solve direct and inverse problems for multicomponent multiflow multistage energy complexes for various purposes.

Brain Tumor Classification Using DenseNet CNN Model

Abstract: In recent years, Due to its powerful soft tissue comparison and non-invasive nature, magnetic resonance imaging,or MRI, has attracted a lot of attention recently. MRI is a frequently utilized imaging modality for the purpose of locating brain cancers in infants. The MRI generates a huge volume of data. Tumor heterogeneity, isointense and hypointense characteristics limit manual segmentation within a reasonable time frame, which in turn limits the application of trustworthy quantitative metrics in clinical practice. Manual segmentation tasks in clinical practice take a lot of time, and the operator's experience has a big impact on how well they execute. Tumor segmentation methods must be accurate and automated, however due to the extreme spatial and structural variety of brain tumors, this is a challenging task. We have suggested completely automatic brain categorization in our project. Using the DenseNet model, we have presented a fully automatic way to classify brain cancers. Tests conducted on the datasets demonstrate the effectiveness of our suggested approach for identifying baby brain cancers from MRI (MRI).

DIFFICULTIES IN TRANSLATING POPULAR SCIENCE TEXT IN THE FIELD OF ECONOMY (ON THE MATERIAL OF THE MONOGRAPH A.R. KROEBER CHINA`S ECONOMY: WHAT EVERYONE NEEDS TO KNOW)

Background. An adequate translation should fulfill the purpose of communication, which is imbedded in the original. At the same time, it is necessary to take into consideration both the content of the text and its pragmatic function. The translator`s task is using various types of translation transformations to select adequate lexical, phraseological, grammatical structures to maintain the pragmatic function of the translation at the level of the original. The authors of the article study the most interesting examples of translation difficulties based on the material of the monograph A.R. Kroeber China’s Economy: What Everyone Needs to Know and offer their own variants of their translation. Purpose. Analysis of the translation difficulties of a popular scientific text on economic topics. Materials and methods. The main research method is comparative analysis. The article is based on the text of the monograph A.R. Kroeber China’s Economy: What Everyone Needs to Know. Results. Analysis of the text of the monograph (parts 2.6-3.3 / 30,048 sign.) has revealed more than 200 translation difficulties with the help of which the pragmatic function of the text is preserved. These linguistic phenomena require detailed analysis using logical thinking, linguistic and extensive background knowledge for their adequate translation. The results of the research can be used in the preparation of lecture materials and practical tasks for the program "Translator in the field of professional communication" in disciplines focused on translation studies.

Pengujian Usabilitas Pada Penggunaan Platform Scratch

This research tests the usability of the platform on new students of Informatics Engineering. Usability of is measured through three main variables: effectiveness, efficiency, and user satisfaction. Data was collected through pre-test and post-test involving 20 respondents using questionnaires and practical tasks. 20 respondents using questionnaires and practical tasks. The results of the study showed that the effectiveness and efficiency of the Scratch platform increased significantly from the pre-test to the post-test, reaching a level of effectiveness and efficiency, showing that the time required to complete programming tasks is reduced once users are familiar with the platform. User satisfaction also increased, with the majority of respondents feeling more comfortable and interested in using Scratch after testing. This research concludes that the Scratch platform is effective and efficient as a programming learning tool for new Informatics Engineering students.

The influence of nanocellulose from different plant raw materials on the quality indicators of electrical insulation paper

An urgent scientific and practical task for electrical engineering enterprises is to improve the specific characteristics of component transformers and capacitors that use electrical insulating paper. Electrical insulating paper is characterized by a wide list of special quality indicators, the necessary values ​​of which are achieved due to the use of cellulose with special properties and various chemical auxiliary substances. There are known attempts to use nanocellulose (NC) from wood to reduce the consumption of harmful synthetic chemical auxiliaries, but there are practically no research results on the impact of consumption of NC from non-wood plant materials. Therefore, in the work, a comparative study of the effect of NC from hemp fibers and coniferous wood on the target indicators of the quality of electrical insulating paper was carried out. For this, cellulose, suitable for extracting NC from hemp fibers, was obtained by an environmentally safe organosolv method. NC is obtained as a result of acid hydrolysis of organosolv hemp and sulfate unbleached coniferous cellulose, which is traditionally used in the production of electrical insulating paper. Laboratory samples of electrical insulating paper were made with a weight of 65±3 g/m2 from sulfated unbleached coniferous cellulose with the addition from 1% to 5% NC by weight of paper. The research results confirmed the hypothesis that the addition of NC paper pulp from various plant raw materials leads to an increase in the mechanical and electrical strength of the paper. It has been established that the effect of NC from hemp fibers on the quality indicators of electrical insulation paper is not inferior to the effect on them of NC from coniferous wood, and in some cases even a better result is observed. It was established that the introduction of NC into the composition of paper practically does not reduce its degree of polymerization, which is of great importance for maintaining high reliability and a long duration of work of paper insulation. The obtained results have scientific and practical significance for other types of insulating papers: capacitor, cable, telephone, impregnation, transformer, etc.

Improving safety criteria for transporting hazardous goods by road through optimizing the geometric parameters of their stowage

The object of research is the process of cargo transportation by road. The problem of efficient loading and securing of hazardous goods in box containers during their transportation by road is considered. The basic principles of the voxel-based interpretation of the model of loading box containers on road transport are presented, and a general principle for calculating the fractal dimension of such three-dimensional objects has been developed. The calculation is based on the procedure of reducing the dimensionality of space by cutting the object into separate layers and determining the fractal dimensionality of two-dimensional slices. The proposed principle could be used to estimate the fractal dimension of three-dimensional objects in practical tasks in any industry. A method for simplified calculation of fractal characteristics of three-dimensional bill of lading models of cargo stowage has been devised. The method is based on the assessment of the quality of blocking of the constituent elements of the spatial system in three coordinate directions by the fractal dimension of two-dimensional images of their frames. The method provides opportunities for calculating the quantitative characteristics of the quality of cargo stowage from the standpoint of its transportation safety. A method for fractal stowing of goods in box containers on a truck platform has been proposed. This method of fractal stowage provides for the absence of slippage and displacement of boxes in the package and makes it impossible for them to overturn in extreme situations. The use of the fractal stowage method allows for an efficient and low-cost technology of securing the cargo as it involves only a circular bandage of the top layer of the loaded package of boxes and its fastening to the vehicle platform at four points

Methods of embedding control information in images

The paper discusses various methods of steganography used to embed control information in digital images. The main focus is on the principles of operation, advantages and disadvantages of each method. Classical and modern methods such as LSD, FT, PVD, MPVD, DCT, S-UNIWARD, WOW, HUGO and Steghide are considered. Their resistance to steganalysis, steganographic capacity and computational complexity are analyzed. Understanding these methods makes it possible to increase the efficiency and safety of using steganographic techniques in various practical tasks.

Multi-word expressions for Russian L2 learners: corpora-based selection with expert verification

The article describes the experience of creating a corpus-based list of the most relevant multi-word expressions for Russian L2 learners, distributed across the levels of the Common European Framework of Reference for Languages (CEFR) from A1 to C1. Modern linguistic and cognitive research shows that our speech is patterned and largely consists of stable segments. This fact is supported by the linguodidactic idea of teaching not isolated language units but their combinations of different nature. However, the selection and ranking of multi-word expressions based on language proficiency levels is constrained by the difficulty of automatically extracting them from a corpus of texts and estimating their frequency, as well as disagreements in defining the boundaries, linguistic nature, and terminology of multi-word expressions. This article describes the experience of compiling a list of the most valuable fixed-type multi-word expressions from various sources: two types of existing CEFR-graded vocabulary lists for Russian L2 learners – lexical minimums for the TORFL (Test of Russian as a Foreign Language) system and Russian KELLY (KEywords for Language Learning for Young and adults alike); the most frequent n-grams from the RuFoLa – Russian L2 textbook corpus and from the Russian Web corpus of internet texts; list of discourse formulas from the «Pragmaticon» project. The CEFR level of each multi-word expression is predicted using the frequency-based Max Delta measure, and its effectiveness is subsequently validated through annotation by multiple experts. The resulting list of multi-word expressions contains 1645 entries from A1 to C1 levels. The proposed version of the list has been implemented into an automated text analysis system for learners of Russian as a Foreign Language and can be useful for a wide range of professionals in the preparation of educational content for foreign language learners. The suggested Max Delta measure has demonstrated a high degree of agreement with expert evaluations within proficiency levels A1-B1. This signifies the importance of further exploring its potential in addressing related practical tasks and in selecting language learning content derived for other languages.

Machine translation in hindsight

The paper expands on the analysis of key projects adoring the machine translation (MT) hall of fame and their role in addressing practical tasks. The most successful initiatives suggest that the fledgling MT was contingent on the level of entropy, a.k.a. random nature of natural languages: the lower the indicator, the higher the predictability of the text, and by implication the efficiency of the system. It accounts for the success of the first Georgetown-IBM experiment and Canada’s METEO-1. The letter grew into a full-fledged system that for almost a quarter of the 20th century, provided English-French-English translations of weather bulletins, boasting high language predictability. Although, in between them the 1964 ALPAC report sowed a seed of doubt of the MT validity, it never aimed at killing the research area at all. On the contrary, it highlighted technics and applications, where the technology had demonstrated promising results, including raw MT, post-edited MT, and M-AT. The authors note a cyclic nature of the development of MT-powered methods and technologies. Today’s combination of resources and the way they are used are different very little from those employed in the past century. What makes them stand apart is the maturity of MT technologies, which made it through rulebased, direct, corpus-based, and knowledge-based translation to SMT and eventually to NMT. It has been established that the improved performance comes at a cost of more elaborate and larger data sets, tagged, marked up and annotated for automated use in language models. Taking advantage of these as well as artificial intelligence (AI), the authors venture into modeling basic text processing scenarios in a bilingual environment. This results in recommendations as to future paths for the improvement of MT technologies in the hands of professional translators by fine-tuning language models individually and pursuing post-editing (PEMT) and pre-editing practices paving the way for more complex transformations and lower equivalence levels.

Практические задачи постгуманизма. Размывание внешних границ человечества

This article systematizes practical tasks that can be attributed to the implementation of the ideas of posthumanism. The reader’s attention is drawn to the erosion process on the external boundaries of human society. There are many lawsuits that recognize animal rights. There are several aspects to this process. The fi rst is the recognition of the rights of wild animals and partial bans on their keeping in captivity and the introduction into legal circulation of the category ‘non-human person’. The second is to reduce the number of laboratory animals subjected to lethal experiments in order to obtain new drugs and develop new methods of treating people. Previously, this activity was considered morally justifi ed. Currently, it is under the close attention of animal rights activists and is controlled in the legal sphere. The third aspect of the problem is the emergence of ways to take into account the rights of pets. If previously pets were equated with things, now there is a shift towards external control over the relationship between pets and their owners. Many countries have laws protecting the rights of pets. The fourth aspect of the problem is that new relationships between human society and the world of microorganisms have formed. If previously this world was predominantly interpreted as hostile and predominantly pathogenic microorganisms were studied, in recent decades microorganisms that have a beneficial effect on human health have begun to attract significantly more attention. Finally, the fifth aspect is the emergence and solution of new problems on the external border of humanity and the virtual world created by people. Previously, this world existed in the form of fantasies, religious concepts, art, folklore, etc. But the boundary between this world and real people was not fully realized. In recent years, artificial intelligence, intelligently operating mechanisms and much more have appeared in this virtual world, which makes this world equal to the human one.

The interpersonal coordination constraint on the volleyball setter’s decision-making on setting direction

This study investigated the setter’s decision-making on setting direction based on interpersonal (interaction between players) and extra personal (interaction between players and some place or object) coordination. The sample consisted of 86 sequences of play involving settings performed by males (n = 43) and females (n = 43). Fifty-nine spatiotemporal measures of interpersonal and extra personal coordination were obtained from the x and y coordinates of volleyball players’ displacements using the TACTO software. Settings to each court zone were compared in relation to each spatiotemporal measure. Results showed that when the final area between attacker in the zone 3 and block was greatest and emerged from highest velocity, setters decided to set to zone 2. On the other hand, when the foregoing area was smallest and emerged from lowest velocity, setters decided to set to zones 3 and 4. It was concluded that the final area between attacker in the zone 3 and block and its emerging velocity constrained the setters’ decision-making on setting direction. This study provides useful insights into the design of practice tasks in volleyball, suggesting that setters should be advised to be attuned to the interpersonal coordination involving attacker in the zone 3 and block.

Telepractice in Aphasia: Troubleshooting and Planning Assessments Using the Virtual-Appropriate Decision Approach

Purpose: This article describes the use of the Virtual-Appropriate Decision Approach (VADA). VADA is a systematic data gathering and problem-solving approach for planning and troubleshooting human, setting, and technology-related issues that may arise when conducting aphasia assessments via telepractice. Case examples are provided to illustrate and discuss its application for clinical and research settings. Method: We describe how VADA was used to analyze and mitigate challenges during administration of aphasia assessments in five (four cisgender males, one cisgender female) research participants via telepractice. Case discussions are organized by aphasia types and identify a variety of human, setting, and technology-related issues, which are analyzed via the VADA framework. Successes, challenges, and recommendations for conducting aphasia assessment via telepractice are included for each case. Conclusions: Unique challenges exist when using telepractice to conduct clinically valid standardized aphasia assessments for research or in the clinic. VADA is a systematic process to gather, analyze, evaluate, and address human, setting, and technology factors that impact aphasia assessments conducted via telepractice. The use of aphasia-friendly printed materials, assistance from communication partners, and similar task practice were adaptations that helped facilitate the assessment process.

Hydrolandscape Method of territory Zoning: Concept and Application Experience

The paper describes the method and algorithm for creating the sketch-maps of hydrolandscapes to solve practical tasks of forecasting and controlling the number of mass species of blood-sucking insects such as gadflies and mosquitoes. The hydrolandscape method consists in dividing the regions into zones by content, distribution and conservation of moisture as the most important ecosystemic component. The method evaluates the influence of insufficient or excessive moisture content on the life activity of amphibiotic insects. Landscapes similar by moisture content, relief, mesoclimate, soils, vegetation and groups of blood-sucking insects are combined into hydrolandscapes. This method has been applied for different regions of the North-West of Russia (the Novgorod, Leningrad and Pskov Regions), as well as for the Komi Republic. The paper illustrates this experience. Using the hydrolandscape method, the specialists can forecast the species composition and relative abundance of blood-sucking insects in remote areas before they get developed by humans.