Real Situations Research Articles

'They are conspiring against us': How outgroup conspiracy theories stimulate environmental neglect in intergroup resource dilemmas.

Natural resources are limited, and people often share these limited resources in groups, which creates an intergroup resource dilemma. To understand individuals' sustainable behaviours in intergroup resource dilemmas in the context of group interactions, the present research systematically investigates the effect of outgroup conspiracy theories on sustainable behaviours and preliminarily explores the internal mechanism underlying this effect. First, a survey study (Study 1) relying on real-world intergroup relations first confirmed the negative correlation between outgroup conspiracy beliefs and sustainable intentions in intergroup resource dilemmas. Then, an online experimental study that utilized the real situation of a region in China (Study 2) tested the causal relationship between exposure to an outgroup conspiracy theory and sustainable intentions, as well as showing the mediating role of intergroup threat perception underlying this relationship. Finally, a preregistered experimental laboratory study (Study 3) further verified the causal effect of exposure to an outgroup conspiracy theory on sustainable behaviours, again confirming the mediating role of intergroup threat perception. In general, our research demonstrates that exposure to an outgroup conspiracy theory stimulates individuals' environmental neglect and reduces their sustainable behaviours by increasing their perceptions of intergroup threat when faced with intergroup resource dilemmas.

Flip bifurcation analysis and mathematical modeling of cholera disease by taking control measures

To study the dynamical system, it is necessary to formulate the mathematical model to understand the dynamics of various diseases which are spread in the world wide. The objective of the research study is to assess the early diagnosis and treatment of cholera virus by implementing remedial methods with and without the use of drugs. A mathematical model is built with the hypothesis of strengthening the immune system, and a ABC operator is employed to turn the model into a fractional-order model. A newly developed system SEIBR, which is examined both qualitatively and quantitatively to determine its stable position as well as the verification of flip bifurcation has been made for developed system. The local stability of this model has been explored concerning limited observations, a fundamental aspect of epidemic models. We have derived the reproductive number using next generation method, denoted as “R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$R_{0}$$\\end{document}”, to analyze its impact rate across various sub-compartments, which serves as a critical determinant of its community-wide transmission rate. The sensitivity analysis has been verified according to its each parameters to identify that how much rate of change of parameters are sensitive. Atangana–Toufik scheme is employed to find the solution for the developed system using different fractional values which is advanced tool for reliable bounded solution. Also the error analysis has been made for developed scheme. Simulations have been made to see the real behavior and effects of cholera disease with early detection and treatment by implementing remedial methods without the use of drugs in the community. Also identify the real situation the spread of cholera disease after implementing remedial methods with and without the use of drugs. Such type of investigation will be useful to investigate the spread of virus as well as helpful in developing control strategies from our justified outcomes.

Judicial precedent in the Romano-Germanic legal family

The article is devoted to the study of the institution of judicial precedent in the Romano- Germanic legal family. It is established that the countries of the Romano-Germanic legal family, unlike the countries of the Anglo-Saxon legal family under the influence of Roman law, in the context of codification of law, have determined for themselves the priority source of law - law, not precedent. However, there is a gradual increase in the role of judicial precedent in continental law countries due to a number of factors that contribute to the intensification of judicial rulemaking. First, in these countries, there are still branches of law that, for various reasons, either do not have legal regulation or are regulated only by general reference rules or framework provisions. For objective reasons, the legislator cannot foresee the entire variety of real-life phenomena. This pushes the courts to adopt legal provisions that can fill in the gaps in the legal regulation of social relations. Secondly, there is a noticeable lag between legislation and dynamically changing social relations, resulting in the formation of large segments of social life regulated by legal acts that have lost their relevance. The current realities, which are largely full of unpredictable events, highlight the need for legal systems to adapt. All of this contributes to the use of judicial precedents, which serve not only as a tool for resolving specific disputes, but also as a means of developing law, allowing to fill existing «gaps in law». In the Romano-Germanic legal family, the real legal force of a judicial precedent is determined not so much by its formal enshrinement in legal acts as by actual life circumstances. Real-life situations, as well as the practical necessity and demand for precedent as a source of law, play a key role in determining its true legal status and legal force. Judicial precedent in continental law countries is becoming increasingly important, becoming an integral element of dynamic and adaptive legal regulation over time, and the rules establishing the generally binding force of precedents and the discretionary powers of authorized bodies are increasingly common in both public and private law in these countries. Judicial precedent in these countries should be considered as a source of law from a practical point of view, focusing on solving problems arising in the process of law enforcement.

On establishing a benchmark crude in the Russian Arctic

The article analyzes the prospects for establishing Russian benchmark crude based on the arctic blend “Vostok Oil” with a price basis in Murmansk. The relevance of the study is conditioned by the importance of the pricing system’s transparency for maintaining a stable macroeconomic situation in Russia, with a leading role of Artic oil and gas potential for Russian economic development. The authors highlight the main signs of the modern pricing system’s crisis and note that amid the imposed anti-Russian sanctions pricing at European spot hubs can no longer reflect the real situation in the Russian oil market. As a result, there is a need to create a national pricing system by developing the Russian benchmark based on the crude oil blend with the dominance of “black gold” from the Vostok Oil project, which has a high-expected liquidity. The port of Murmansk, being distinguished by unique technical characteristics and access to the logistics potential of the Northern Sea Route, is proposed as a price basis and a price hub. The article presents a four-stage model for launching a corresponding futures contract on SPIMEX, which will help improve the exchange trading system for energy resources in Russia and increase the popularity of the Russian Arctic benchmark crude in the global oil market. In conclusion, the authors underline that the creation of a new benchmark and the launch of futures will ensure stability, transparency and independence of Russian oil exports.

Well‐posedness and error analysis of wave equations with Markovian switching

Compared to traditional partial differential equation modeling methods, Markov switching models can accurately capture the abrupt changes or jumps that complex systems often experience in the real world. In this paper, we propose a novel wave equation model with Markovian switching to represent complex systems with state‐jumping phenomena better, and the well‐posedness of the model is proved. In addition, a numerical method with non‐uniform grids is also proposed for the proposed model to simulate the data in realistic situations, which is based on the use of finite element discretization in space and central difference discretization in time. Finally, we conduct several experiments to analyze the errors and stability of the proposed model and the traditional model. The results show that the Markov switching model proposed in this paper has a smaller error than the traditional models while ensuring stability and can more accurately simulate the state jump phenomena of real‐world systems.

Stop blaming the farmer: Dispelling the myths of ‘misuse’ and ‘safe’ use of pesticides to protect health and human rights

The negative effects of pesticide use in low- and middle-income countries (LMICs) are often blamed on the “misuse” of pesticides. The industry and government narrative is that the use of highly hazardous pesticides is safe when instructions are followed, and that harm occurs due to “irrational” and “improper” human behavior, linked to lack of knowledge by farmers. This assumption does not consider the real-life situations of pesticide users in LMICs, including structural, economic, and social barriers that make it impossible to follow “safety practices.” This “blame the farmer” narrative leads to ineffective risk mitigation measures, perpetuating and increasing people’s exposure to pesticide harms and endangering their lives. It is governments that allow the use of highly hazardous pesticides in their jurisdictions, and pesticide companies that produce them—not individual pesticide users in LMICs—who should bear the main responsibility for the prevention of the negative impact of these products. A human rights-based approach to pesticide management and the interpretation of international guidance that avoids the blaming narrative but puts real people, their health, and human rights first is needed to reduce and eliminate toxic exposure and save lives and health.

Intertextual satire in media discourse

Abstract The paper investigates intertextual satire in media discourse from the cognitive linguistic perspective. Within the frameworks of conceptual blending theory and the theory of precedent-related phenomena, we examine the cognitive processes of producing and understanding intertextual satire. By modelling conceptual integration networks, we aim to specify the cognitive mechanisms and operations involved in decoding intertextual satirical articles, drawing on examples from Private Eye magazine. The study demonstrates that the basic cognitive mechanism involved in creating intertextual satire is blending, and, in contrast to ironic utterances, which involve two contexts, in intertextual satire one and the same scenario unfolds in three contexts: real, fictional, and satirical. Thus, the blend that occurs as a result of combining real and fictional scenarios is verbalised and obvious to the recipient. The emergent structure, based on the blend, represents the intended (non-verbalised) meaning of intertextual satire, namely indirect criticism of the real situation under focus.

Wave And Wave Overtopping Measurements In A Complex Area And At A Real Dike

Wave overtopping is not easy to measure in real field situations. A 12-years long program started in 2018 to measure wind, wave and water level conditions in a complex estuary, together with wave overtopping measurements at dikes. The first winter storm was measured on 8 January 2019 and first results were described in Van der Meer et al. (2019). Wave and water level conditions are measured directly in front of the dike. Overtopping is measured with two identical overtopping boxes that were placed in the dike, but at different levels, see Figure 1. A measuring pole in front of the dike has measured wave and water level conditions for 10 years already and the design of the overtopping boxes was based on those data. In recent years, a system was invented that measures wave run-up and wave overtopping with two parallel lasers, see Figure 2. The laser scanner system was placed next to the overtopping boxes to enable a proper validation. First results were presented in Oosterlo et al. (2021a; 2021b). This paper describes the further storms that have been measured up to now, including new measurement devices, improvements to measurement devices and new analysis methods. This all brings new insights, but more storms and improvements of measurements are needed to come to a full understanding of this complex estuary.

A novel TFET based nanogap high-sensitive biosensor by boosted reliability- new metric for sensitivity definition

This is a detailed report about the proposal of an efficient nanogap dielectrically modulated tunnel field-effect transistor (TFET) biodevice granting a high sensitivity in the detection of the targeted biomolecules while keeping high performance in the realistic situations with boosting the reliability. Two attractive approaches in the cases of the bandgap engineering and charge plasma concept have been suggested for the band energy correction increasing the sensing current and the sensitivity without occurrence possibility of fabrication process related issues as compared to common TFET and PNPN TFET biosensors. The streptavidin, biotin and APTES samples have been selected as typical biomolecules for the sensing performance comparison of the biosensors under the study. Also, the proposed biosensor showed performance superiority for other biomolecules. For the first time, a new metric for measuring sensitivity is proposed to combine both maximum current sensitivity and well-defined average sensitivity in a unique relation named effective sensitivity. This prevents the possible noise impact on the sensitivity of the biosensors since the TFET based biosensors suffer from the low detection current. Defining the effective sensitivity, the proposed biosensor has been evaluated in more realistic conditions including partial hybridization of biomolecules inside the nanogap, trap-assisted-tunneling (TAT) component, neutral/charged biomolecules and biomolecules accumulation in different orientations showing the performance superiority of the proposed biosensor.

Space-temporal analysis of groundwater quality in three areas of the state of Yucatán, México, and its relationship with existing anthropogenic activity.

Groundwater in the Yucatan State is the only source of water. The karst aquifer in Yucatan is vulnerable to pollution. Anthropic activities in Yucatan, such as pig farming, are usually related to high wastewater discharges and water pollution. Administrative and logistical issues in developing on-site sampling to evaluate water quality are common in Mexico. The RENAMECA database provides official data related to groundwater quality. However, no analysis based on this database has been reported. A groundwater quality evaluation based on five reference pig farms and the effect of spatial and temporal anthropic activities in the study area was developed. Eighteen wells based on their location concerning the selected pig farms were studied. On-site sampling and laboratory analysis of the supply water and wastewater in the study case farm were done. Fecal coliforms (FC) values (maximum 2850 MPN [100mL] -1) in most cases for supply water wells exceeded the allowed limit by NOM-127-SAA1-2021. The year of monitoring was significant (P < 0.05) on FC concentrations. Population density and the proximity of wells to population centers affect negatively the presence of total dissolved solids (TDS) and total nitrogen (TN). TDS (maximum value 2620mg L -1) and phosphorus presence could be related to agricultural activities, human settlements, and local aquifer conditions. A local wastewater treatment issue is evident. Groundwater is not quality for consumption without treatment. Regarding the issues in on-site water monitoring, database analysis provides an approximation of the real situation of groundwater quality.

Multi-objective design optimization of polymer spur gears using a hybrid approach

Polymer gears are used in applications requiring small to moderate loads to effectively transmit power and use the limited place available as possible. Various commercial standards have been provided designers with the rating criteria and acquaintance of different polymer material properties for the process of design. However, the result was unsatisfactory in terms of economy, time, and the optimality of the product. Thus, classic and stochastic algorithms have been embraced to reach the best design of polymer gears. Taking advantage of the former and latter algorithm’ methods, optimal design of gears could be attained with an increased gear life span and decreased failure modes. In this study, polyoxymethylene (POM) spur gear set has been optimized combining the mathematical model from plastic standards and hybrid optimization approach of multi-objective genetic algorithm (MOGA) and sequential quadratic programming (SQP). Weight and power loss were the objective functions. Five design variables were optimized with the satisfaction of bending and contact stresses, temperature, wear, and deformation as constraints. Solutions of the problem were formulated as Pareto optimal set. The results of multi-objective were compared with previously published single-objective optimization. The results favored multi-objective optimization (82.67%, 31.39% reduction in weight and power loss respectively) as it gave the best applicable solution fitting in real life situations. The results also went hand in hand with literature confirming the efficiency of the proposed algorithm. With the variation of operating parameters, various optimal designs could be obtained where the designers can choose the design that is suitable for a particular application.

A physiologically-based digital twin for alcohol consumption—predicting real-life drinking responses and long-term plasma PEth

Alcohol consumption is associated with a wide variety of preventable health complications and is a major risk factor for all-cause mortality in the age group 15-47 years. To reduce dangerous drinking behavior, eHealth applications have shown promise. A particularly interesting potential lies in the combination of eHealth apps with mathematical models. However, existing mathematical models do not consider real-life situations, such as combined intake of meals and beverages, and do not connect drinking to clinical markers, such as phosphatidylethanol (PEth). Herein, we present such a model which can simulate real-life situations and connect drinking to long-term markers. The new model can accurately describe both estimation data according to a χ2 -test (187.0 < Tχ2 = 226.4) and independent validation data (70.8 < Tχ2 = 93.5). The model can also be personalized using anthropometric data from a specific individual and can thus be used as a physiologically-based digital twin. This twin is also able to connect short-term consumption of alcohol to the long-term dynamics of PEth levels in the blood, a clinical biomarker of alcohol consumption. Here we illustrate how connecting short-term consumption to long-term markers allows for a new way to determine patient alcohol consumption from measured PEth levels. An additional use case of the twin could include the combined evaluation of patient-reported AUDIT forms and measured PEth levels. Finally, we integrated the new model into an eHealth application, which could help guide individual users or clinicians to help reduce dangerous drinking.

Impact of Covid-19 on Readymade Garments Workers at Dhaka Division Of Bangladesh

In this study we are attempts to identify the real situation of COVID-19 impact on working environment of RMG workers in Bangladesh. The consequences of the COVID-19 pandemic impact on RMG workers is dire and include uncertainty about the wages during the COVID-19 pandemic and related issues such as lack of money for essentials such as food, and concerns about the re-opening of factories during COVID-19 infection peak times. The objectives of this study is to identify the COVID-19 impact on readymade garments (RGM) workers as well as shows the present conditions of readymade garments workers and work place environment of RMG sector in Bangladesh. Finally, to find out the problems and suggest some policy recommendations of RMG sectors in Bangladesh. This study attempts to know COVID-19 Impact on working environment of RMG workers in Bangladesh in Selected Factories in Dhaka division. The present study is an exploratory sample survey. Besides this, to enhance the acceptance of result and considering the circumstances few case studies are also conducted. The sampling of my study is 50 workers selected based on accidental sampling techniques and five garments selected based on sample survey and purposively out of the total population of these garments industries. The sources of data to carry out the proposed study data has been collected from two sources; Primary and Secondary sources. The data processing with various tables, pie-charts, bar-diagrams and figures have been used for analyzing the collected data. The information have been classified and tabulated under various characteristics. The results have been shown using simple statistical methods, qualitative and quantitative both kinds of analysis have been used. Some problems and limitations are therefore, inevitable in the way of conducting such a broad task. Finding of this study are most of the workers have lost their overtime work. Their income level falls that result, domestic violence has raised in most of the workers families. At last we can say that the production of clothing during the COVID-19 pandemic must not go ahead without an urgent overview of the system and the development of a plan to ensure the health and safety of workers.

Assessing instructional strategies in agricultural science to enhance senior secondary school students’ interest in agriculture in Zaria Educational Zone

The study assessed instructional strategies in agricultural science to enhanced senior secondary school’s students interest in agriculture, within Zaria educational zone. Four specific objectives, four research questions and three hypotheses guided the study. Descriptive survey research design was adopted. Structure questionnaire design on 4-point rating scale with 154 teachers and 200 students as sampled respondents was used. The data was analysed using mean, standard deviation and t – test at 5% level of significance. The result revealed that most of the teachers were male (72.08%), with age ranged from 35 – 39 years (35.07%), married (64.29%) and were qualified to teach agricultural science at senior secondary school level (76.63%) with more than five years working experience (81.85%). Use of successful agropreneurs as resource person, use of motivation and less punishment, giving award/rewards to students, taking students for field trips, relating teaching with real life situation outside classroom, exposing students’ on careers opportunities in agriculture, organizing agricultural shows and exhibition among others were acceptable instructional based strategies that could enhance students’ interest in agriculture. However, there was significant difference on the mean responses of teachers and students on the instructional-based strategies that could enhanced students interest in agriculture. Recommendations were made based on the findings of the study.

Stress and cardiovascular disease: an update.

Psychological stress is generally accepted to be associated with an increased risk of cardiovascular disease (CVD), but results have varied in terms of how stress is measured and the strength of the association. Additionally, the mechanisms and potential causal links have remained speculative despite decades of research. The physiological responses to stress are well characterized, but their contribution to the development and progression of CVD has received little attention in empirical studies. Evidence suggests that physiological responses to stress have a fundamental role in the risk of CVD and that haemodynamic, vascular and immune perturbations triggered by stress are especially implicated. Stress response physiology is regulated by the corticolimbic regions of the brain, which have outputs to the autonomic nervous system. Variation in these regulatory pathways might explain interindividual differences in vulnerability to stress. Dynamic perturbations in autonomic, immune and vascular functions are probably also implicated as CVD risk mechanisms of chronic, recurring and cumulative stressful exposures, but more data are needed from prospective studies and from assessments in real-life situations. Psychological assessment remains insufficiently recognized in clinical care and prevention. Although stress-reduction interventions might mitigate perceived stress levels and potentially reduce cardiovascular risk, more data from randomized trials are needed.

Bootstrap Confidence Intervals for the Poisson-Pranav Distribution Parameter with an Application to COVID-19 Data

The Poisson distribution is commonly applied in statistical modeling to represent the count of events, assuming that the events are independent and occur at a constant rate. This assumption, however, may not always hold true in real-life situations. The Poisson distribution may be inadequate if the underlying rate of occurrence is not constant. The mixed Poisson distribution is proposed to solve this limitation because it permits the rate parameter of the Poisson distribution to be random rather than fixed. The Poisson-Pranav distribution, which is classified as a type of mixed Poisson distribution, has been commonly utilized to analyze count data that exhibits over-dispersion over many domains. However, no research has been done into building confidence intervals for the parameter of the Poisson-Pranav distribution using the bootstrap method. Using Monte Carlo simulation, the coverage probabilities and average lengths of the percentile bootstrap (PB), basic bootstrap (BB), and biased-corrected and accelerated (BCa) bootstrap’s interval-estimation performances were compared. The bootstrap method was not appropriate for achieving the desired nominal confidence level with small sample sizes. In addition, the performance of the bootstrap confidence intervals did not differ significantly when the sample size was increased considerably. In each case studied, the BCa bootstrap confidence intervals performed better than the others. The effectiveness of bootstrap confidence intervals was demonstrated by applying them to the number of COVID-19 deaths in Belgium. The computations substantially supported the proposed bootstrap confidence intervals.

Genetic Algorithm Optimization with Selection Operator Decider

AbstractGenetic Algorithm (GA) is a powerful and flexible meta-heuristic tool to deal with the complexity of optimization problems, as they are directly related to real-life situations. The primary goal of an optimization problem could be to obtain a solution with less effort and near-optimal rather than slow, improbable optimal. GAs serve this purpose by broadly exploring the possible solution space and using genetic operators. The performance of GAs can vary significantly depending on the genetic operators. Although each operator type has upsides and downsides, the selection operator greatly influences the GA’s performance. Conventional GAs initialize with predetermined genetic operators and continue with the same throughout all iterations. In this paper, dynamically adjusting the selection operators to the current progress of the iteration will be shown to be a crucial strategy to improve the performance of the GA. This study aims to propose a novel GA capable of harnessing multiple selection operators by a self-deciding operator structure, which is more advantageous at the current iteration. For this, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), which is known as a simple and effective multi-criteria decision-making method, will be integrated into the GA by a proposed dynamic decision matrix. The proposed Selection Operator Decider Genetic Algorithm (SODGA) has unique properties with varying selection processes and is capable of using TOPSIS as a decider of the operator inside the iterations. The effectiveness of the presented SODGA framework will be analyzed by a Capacitated Vehicle Routing Problems (CVRPs) benchmark set.

Artistic Virtual Reality Scene Analysis Taking into Account the Interactive Digital Media Pattern Generation Technology

With the development of science and technology and the continuous strength of Chinese spiritual civilization, digital media patterns have penetrated into various fields and played a central role in them. This article studies the endless emergence of various new media, and the channels of information dissemination are becoming more and more abundant. With the development of science and technology, new media are gradually derived, such as: IPTV, electronic magazines, etc., which have developed on the basis of traditional media. But there is a qualitative difference from traditional media. Digital media has a profound impact on mass society.This article proposes that digital media has become the most important means of communication in the information society. The digital media creative industry and the country's economic development have formed a close relationship of interdependence and mutual promotion. Based on the interactive digital media model generation technology, the research of artistic virtual and real scene analysis is the main issue today. The experimental results of this paper show that through the experimental investigation and analysis in 2019 and 2020, it is found that the application trend of company A and B in the virtual reality situation has increased significantly. The application rate of company A and B in 2019 reached about 43%, but the trend is not unstable. However, in 2020, it can be clearly seen that the application rate of companies A and B in applying digital media patterns to virtual and real scenarios has stabilized, exceeding 35% every month. It can be seen in the text below that when the four models are in different periods, the value of the optimal solution is different, and when the model is at 0.1 and 31, the optimal solution appears.Experiments show that digital media is widely used in the analysis of virtual and real scenarios. Based on the new research field formed by the fusion and intersection of digital media patterns, starting with the changes in the main body, objects, tools and forms of virtual and real scene communication in the context of digital media, it conducts in-depth research on the creation of artistic virtual and real scenes from many aspects.

ПРОБЛЕМА ПОДОЛАННЯ МОВНОГО БАР’ЄРУ В ПРОЦЕСІ ВИВЧЕННЯ ІНОЗЕМНИХ МОВ У ЗАКЛАДАХ ВИЩОЇ ОСВІТИ

The article is devoted to the analysis of the problem of overcoming the language barrier in the process of learning foreign languages in higher education institutions. The object of consideration is the complex aspects of this phenomenon, the complexity of learning a foreign language, the lack of practical application of the acquired skills, the lack of attention to the cultural context during its study, etc. In view of this, there is a need for a systematic approach to overcoming the language barrier, taking into account not only linguistic aspects but also the psychological characteristics of students. The next aspect concerns the lack of practical application of language skills acquired during study. The study points to the relevance of introducing interactive methods of teaching a foreign language aimed at practical use of the language in different situations, which will provide students with the opportunity to improve their language skills in practice. It is noted that the lack of opportunities for practical use of a foreign language outside the classroom complicates the process of forming the foreign language competence of future specialists, makes it impossible to successfully consolidate communication skills in real life situations. This leads to a loss of interest in learning and limits the practical use of language skills. It is concluded that learning foreign languages should include understanding and adaptation of higher education students to cultural realities, which will contribute to a deeper understanding and more effective learning of languages. Particular emphasis is placed on the importance of using innovative pedagogical approaches, including technologies and methods of intercultural communication. The use of modern technologies, such as mobile applications, virtual reality, etc., can greatly facilitate the process of learning foreign languages and help overcome the language barrier, and it is also important to create a favorable learning environment where students have the opportunity to practice the language in different situations, use innovative teaching methods and focus on developing not only grammatical skills but also cultural context. The importance of immersive practice in overcoming the language barrier in foreign language learning is emphasized.

Формування ціннісного аспекта фахової підготовки майбутнього викладача іноземних мов

The article examines the process of forming a value aspect in the professional training of a future foreign languages teacher. Key aspects of the influence of axiological elements on the professional development and personal identity of teachers are investigated. The article highlights practical methods of forming students’ value perceptions, in particular by implementing global and intercultural approaches. The article emphasizes the importance of conscious development of values in future teachers for their successful implementation in the modern educational environment. The role of pedagogical axiology in strengthening the interaction between the teacher and students through the implementation of practical tasks and situations aimed at the development of valuable competencies is analyzed. Special attention is paid to reflection and self-assessment as effective tools for students’ awareness and analysis of their own values. The article suggests that teachers use these methods to actively involve future foreign languages teachers in the process of forming personal and professional values, which will contribute to their successful teaching path in the global educational environment. It is noted that the valuable component of professional training of future foreign languages teacher is of strategic importance in the conditions of globalization and intercultural interaction. Students are invited to actively interact in real situations, which contributes to the formation of their skills in solving ethical problems and making important decisions based on their values. The article is aimed at practical recommendations for teachers of Universities who want to improve the process of forming a value component in future specialists in teaching foreign languages, developing their professional and personal aspects. In addition, the article discusses the importance of reflection and self-evaluation in the formation of the value component in professional training. Reflective sessions, where students analyze their values and discuss them with colleagues, contribute to awareness of their own approach to professional activity.