Interaction Problems Research Articles

Interaction problems of drugs and food in older patients. Short Review

The interaction between drugs and food in the body of older patients is an important therapeutic problem. As a result of this interaction, both the assimilation of food by the patient's body and the effectiveness and safety of drug therapy can change. Older patients may develop several complications and adverse reactions that change the underlying disease course against the background of age-related metabolic and functional disorders that change both the drugs' pharmacokinetics and pharmacodynamics and the metabolism of food substances. Considering the compatibility mechanisms of medicinal substances with certain food products, compliance with appropriate food regimes is a necessary condition for the effectiveness and drug therapy safety for older patients. __________________________________________________________________________________________ Keywords: older patients; drugs; food; therapeutic problem; pharmacokinetics; pharmacodynamics

Skip connection information enhancement network for retinal vessel segmentation.

Many major diseases of the retina often show symptoms of lesions in the fundus of the eye. The extraction of blood vessels from retinal fundus images is essential to assist doctors. Some of the existing methods do not fully extract the detailed features of retinal images or lose some information, making it difficult to accurately segment capillaries located at the edges of the images. In this paper, we propose a multi-scale retinal vessel segmentation network (SCIE_Net) based on skip connection information enhancement. Firstly, the network processes retinal images at multiple scales to achieve network capture of features at different scales. Secondly, the feature aggregation module is proposed to aggregate the rich information of the shallow network. Further, the skip connection information enhancement module is proposed to take into account the detailed features of the shallow layer and the advanced features of the deeper network to avoid the problem of incomplete information interaction between the layers of the network. Finally, SCIE_Net achieves better vessel segmentation performance and results on the publicly available retinal image standard datasets DRIVE, CHASE_DB1, and STARE.

Юридическая логика: генезис, значение и место в современной теории государства и права

This paper examines the theoretical and historical issues of the emergence, formation and development of special legal logic, and predicts possible trends in the further development of legal logic as a special theory of state and law. The question of the relationship between special legal logic and general formal logic is considered. The author's view on the periodization of the formation and historical development of legal logic as a scientific discipline about the laws of legal thinking is given. Within the framework of this work, the question of the relationship and role of metaphysical and dialectical methods in legal research, which is important for the methodology of legal science, is examined, the historical relationship of these methods is considered, an attempt is made on the basis of scientific sources on which the authors relied when preparing this study, as well as with taking into account the author’s own position developed when working on this research, forecast trends in the further development of legal logic and identify emerging trends in the development of legal methodological research. For the purpose of studying the problems of interaction between logical and legal sciences, determining the subject of legal logic by considering historical examples of attempts to “logize” state legal phenomena using universal logical constructions, the result of which, contrary to the expectations of the researchers carrying them out, was the reverse process of “legalization” of the applied universal logical constructions, their enrichment with the specifics of state-legal phenomena and institutions, justifying the independence of the subject area of legal logic, special attention in this work is paid to the study of the process of transformation of the metaphysical theory of G.V.F. Hegel into his political dialectics. For the purpose of identifying trends in the development of the methodological foundation of legal logic, this work examines the problems of the relationship between rationalistic and empirical approaches in legal research. At the conclusion of this study, the authors consider the question of the possibility of forming special theories of state and law, which was previously raised by Professor A.B. Vengerov, outlines the author's approach to this issue, and proposes an approach to the question of the place of legal logic in the system of scientific knowledge as a special theory of state and law.

Numerical Validation of Fully Coupled Nonlinear Seismic Soil–Pile–Structure Interaction

While many researchers have broadly studied soil–structure interaction (SSI) problems to comprehend SSI effects on the overall system’s behavior, some critical numerical modeling issues have not been sufficiently investigated to achieve the most accurate results. Furthermore, most scholars have not provided detailed explanations of the validation process for their proposed numerical models. Modeling pile foundations in a three-dimensional (3D) continuum system in a fully coupled manner is often challenging for engineers who do not specialize in structural and geotechnical earthquake engineering, as it can be very time-consuming and complicated. Therefore, this work aims to validate a finite element model of seismic soil–pile–structure interaction (SPSI) problems in a continuum soil body by comparing the results of numerical models with those of a centrifuge test and computed numerical simulations available in the literature. In this regard, several newly developed elements in OpenSees (Version 3.6.0) are tested. The results of this work demonstrate a closer alignment with prior experimental research findings. It is believed that providing detailed numerical modeling and validation processes will assist researchers in better understanding crucial issues in modeling soil–pile–structure interaction problems.

Нарратив как смыслообразующий элемент политической символизации

The article deals with a theoretical analysis of the concept of political narrative as a political reality, which is not reducible to a set of positivistically established facts. In the context of political symbolization, narratives as elements of interpretation of politics implicate political meanings through verbal situations that develop as an interaction of judgments. Political narratives function as mediators in social activities and not only communicate information, but do it incrementing new meanings, as political narratives are conveyed through deliberation. The “narrative identity” is formed as a reference to metanarratives and their creators. The author shows that any symbolic political reality is a constellation of involvement narratives that create verbal situations of interactions between community members and the collective history as a narration. Therefore, a narrative introduces individuals into a political context. This enables to fix the narrative “footprint” of joint social practices that are named “culture”, “nation”, “country”, etc. At the same time, the author substantiates that the form and the content of political narratives have the meaning of retrospective inner causality, since the inherited array of political interpretations is constantly «retold» in the present reality. It is concluded that in the context of political symbolization, narrative can be an analytical solution of the problem of interaction between individual consciousness and a society.

Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles

Connected and automated vehicles can reduce the traffic congestion level of the entire network through platoon-driving technologies compared to human-driven vehicles. One promising approach to enhancing platoon-driving technology’s efficiency is deploying dedicated lanes or roads for connected and automated vehicles. Since asymmetric interactions between different vehicle types increase road congestion, it is necessary to distinguish routes for efficient traffic management. However, the traditional traffic assignment problem, which uses only user equilibrium as a constraint with no difference in travel time between users, could not be proposed as a globally optimal solution because it generates an infinite number of locally optimal solutions. Recent studies have attempted to overcome the limitations by considering the sum of system-wide travel times as an additional constraint. Their research sought to help propose optimal deployment strategies through the lowest total travel time solution (best-case) or design robust transport planning strategies through the highest total travel time solution (worst-case). However, past studies have not focused on the possibility of the best/worst case appearing in reality. This study focused on the relationship between the two solutions pointed out in past studies and traffic patterns likely to appear in reality. This study interprets the Karush–Kun–Tucker condition of the static traffic assignment problem, considering the asymmetric interaction, and proposes a solution algorithm using discrete dynamics. The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. The proposed algorithm can reliably derive two solutions, and entropy theory shows that both solutions are unlikely to appear in reality without additional policies such as dedicated lanes or roads.

Implementation and Validation of an Original OpenFOAM Code for Fluid–Structure Interaction Problems in Compressible Flow

Implementation and Validation of an Original OpenFOAM Code for Fluid–Structure Interaction Problems in Compressible Flow

Theoretical and Legal Principles of Interaction between Public Authorities and the Public Under the Legal Regime of Martial Law

The concept of civil society became relevant again at the end of the twentieth century due to the development of democratization, digitalization, and globalization. Today, the issue of public participation in addressing issues of public importance is increasingly associated with electronic petitions, public consultations and discussions, public expertise, etc. The problem of interaction between public authorities and the public in the field of regional planning requires a broad interdisciplinary understanding not only at the level of infrastructure projects, but also in the field of mobilization training and mobilization, identification and solution of humanitarian problems of the population in the de-occupied territories under martial law. Along with public authorities and the public, the world of technology and artificial intelligence is gaining more and more independence, which is becoming more and more independent of the regulatory and coordinating influence of a person, organization, or state from the platform of interaction, the object of influence. At the same time, social networks are reaching an increasing number of people and are being monetized, which necessitates a more comprehensive, strategic vision of the interaction of public authorities with social networks. For the sake of better understanding of the theoretical and legal framework for interaction between public authorities and the public under martial law, an attempt was made to comprehend the problems that occurred in the field of public relations under study before the introduction of martial law in Ukraine, and which also emerged as a new challenge during the period under study, generating the relevant social transformations.

THE ETHICAL IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN B2B MARKETING: A CRITICAL ANALYSIS

The article discusses some relevant philosophical and methodological aspects of the analysis of the processes of digitalization of markets and the introduction of digital technologies in business management related to digital ethics. The empirical research conducted by the author is aimed at identifying current trends in the implementation of artificial intelligence in marketing, the attitude of company management to the implementation of these processes, awareness of ethical aspects and problems of interaction with consumers. The goal of the work is to advance the issues of determining the attributes of digital ethics for the use of artificial intelligence in business: assessing the awareness of new opportunities and risks in Russian entrepreneurship. These issues naturally attract the attention of Russian. In this regard, a number of ethical problems relevant to the digital space are identified, such as problems of information wars and cyber attacks, problems of information security, privacy of private life, primacy of information sources, digital education technologies, transformation of moral values, in particular , perceptions of cruelty and violence in the digital entertainment industry, ethics of virtual communities, the use of artificial intelligence and virtual reality in production teams. The issues of developing the business environment, in particular, the reputational risks of companies in the context of the emergence of a new digital ethics, also deserve special attention . The wide public response to the ethical aspects of digitalization of various aspects of public relations has led to the development of a number of international and Russian documents that bring to the fore the observance of ethical principles and norms in the new environment of life and development of society. About two dozen large Russian companies and organizations signed the first Russian “Code of Ethics for Artificial Intelligence” at the end of 2021. The Artificial Intelligence Code states that responsibility in the application of this technology must always remain with humans. Its development is provided for by the AI Development Strategy until 2030 and the federal project “Artificial Intelligence”. For now, compliance with the norms of this document is voluntary. There are similar documents in 20 countries, 35 large companies in the world already have their own codes, in Russia - Sberbank and Yandex (Artificial Intelligence...). At the end of 2022, the European Union adopted the European Declaration on European Digital Rights and Principles (European Digital Rights.). Keywords: digital ethics, business ethics, artificial intelligence, marketing, parasocial relationships.

Compressible fluids interacting with 3D visco-elastic bulk solids

We consider the physical setup of a three-dimensional fluid–structure interaction problem. A viscous compressible gas or liquid interacts with a nonlinear, visco-elastic, three-dimensional bulk solid. The latter is described by an evolution with inertia, a non-linear dissipation term and a term that relates to a non-convex elastic energy functional. The fluid is modelled by the compressible Navier–Stokes equations with a barotropic pressure law. Due to the motion of the solid, the fluid domain is time-changing. Our main result is the long-time existence of a weak solution to the coupled system until the time of a collision. The nonlinear coupling between the motions of the two different matters is established via the method of minimising movements. The motion of both the solid and the fluid is chosen via an incrimental minimization with respect to dissipative and static potentials. These variational choices together with a careful construction of an underlying flow map for our approximation then directly result in the pressure gradient and the material time derivatives.

Stability of Beam Bridges Under Bridge-Vehicle Interaction

In this paper, we provide an accurate and reliable formulation for simulating the interactions of both train/bridge subsystems and suitable for high-speed railway lines as well as for existing lines worldwide that are being renewed or modernized. We model the train as a series of suspended masses, taking into account the energy dissipation and the suspension system for each train vehicle. On the other hand, the bridge supporting the rails with irregular elevations will be modeled as an Euler-Bernoulli beam. The mathematical formulation of the interaction problem between the two subsystems requires the writing of two sets of equations, which interact with each other through contact forces. Using a one-dimensional finite element formulation, a series of equations are constructed by Modeling the beam structure. In addition, the suspended mass equations are first discretized using Newmark's finite difference formulas, which then reduce the degrees of freedom (DOF) of the vehicle to those of the bridge element. This solves the coupling problem between the two subsystems. The derived component is known as the vehicle/bridge interaction (VBI) element. On the other hand, an iterative procedure will be used subsequently to solve the non-linearity problem of the resulting system of differential equations. MATLAB programs provide results that identify the critical parameters influencing the bridge's dynamic stability.

A Study on Managing Cultural Diversity and Governance Process in the Education Sector

Background of the study: The domain of education employs people from diverse backgrounds and cultures. Each faculty member has their distinct characteristics and personality traits making it challenging for the Human resource department to keep them all content and satisfied with their work and fellow members under one roof. Aim/Purpose: This study aims to investigate the application of governance for managing cultural diversity among faculty members for achieving sustainable human resource management in Community Colleges. Methodology: A thorough investigation of the conceptual and empirical literature available in the domain has helped create a strong foundation for the research. With the help of an extensive review of the literature, the relationship between diversity management and the governance process among faculty members is reviewed. Findings: Finally, the study concludes with the significance of the relationship between diversity management and the governance process among faculty members to achieve sustainable human resource management in the education sector. Results: Reviewing the correlation between diversity management and the governance process among faculty members solves the problems of communication and interaction among employees having diverse backgrounds. Practical, Research & Social Implications: The paper highlights the need for suitable management of diversity in community colleges which can lead to broader and more impelling implications for the policy makers and the colleges to adopt more welcoming and inclusive principles to cater to all needs and make diversity richer and a strong suit. Originality/value: Sustainable human resource management leads to greater productivity among employees and sustainability for the organization. In the contemporary world where competition is vast, there is a need to maintain internal harmony and balance. Thus, our research provides an in-depth analysis of the myriad ways adopted by the education sector for diversity management and practices and governance process.

Capturing of microparticles and visualization of a topological defect in a liquid-crystal θ-cell

We report on a set of experiments directed to a problem of microparticles interaction with a disclination in a nematic liquid crystal matrix. The idea of the study consists in the visualization of the disclination by filling it with particles efficiently scattering light. A θ-cell possessing a topological defect of undetermined twist which can capture micro-sized objects was exploited. The results obtained for samples of different shape can be used as for the understanding of the nature of self-assembling clusters, as for the practical goal of increasing the visibility of a disclination being a dynamic object sensitive to temperature and other external factors and able to move the trapped particles.

A unified-field monolithic fictitious domain-finite element method for fluid-structure-contact interactions and applications to deterministic lateral displacement problems

Based upon two overlapped, body-unfitted meshes, a type of unified-field monolithic fictitious domain-finite element method (UFMFD-FEM) is developed in this paper for moving interface problems of dynamic fluid-structure interactions (FSI), which is accompanied with high-contrast physical coefficients across the interface and with contacting collisions between the structure and fluidic channel wall in the immersed FSI case. In particular, the proposed novel numerical method consists of a monolithic, stabilized mixed finite element method within the frame of fictitious domain/immersed boundary method (FD/IBM) for generic fluid-structure-contact interaction (FSCI) problems in the Eulerian–updated Lagrangian description, while involving the no-slip type of interface conditions on the fluid-structure interface, and the repulsive contact force/stress on the structural surface when the immersed structure contacts the fluidic channel wall. The developed UFMFD-FEM for FSI/FSCI problems can deal with the structural motion with large rotational and translational displacements and/or large deformation in an accurate and efficient fashion, which is first validated by two benchmark FSI problems and one FSCI model problem, then by experimental results of a realistic FSCI scenario – the microfluidic deterministic lateral displacement (DLD) problem that is applied to isolate circulating tumor cells (CTCs) from blood cells in the blood fluid through a cascaded filter DLD microchip in practice, where a particulate fluid with the pillar obstacles effect in the fluidic channel, i.e., the effects of fluid-structure interaction and structure collision, play significant roles to sort particles (cells) of different sizes with tilted pillar arrays. The developed unified-field, monolithic fictitious domain-based mixed finite element method can be seamlessly extended to more sophisticated, high dimensional FSCI problems with contacting collisions between the moving elastic structure and fluidic channel wall.

Aeroacoustic simulation of human phonation based on the flow-induced vocal fold vibrations including their contact

This paper deals with the numerical simulation of the flow induced sound as generated in the human phonation process including vocal folds (VF) contact. The hybrid approach is used allowing to separate the acoustic and the biomechanical description of the considered problem. The two-dimensional fluid–structure interaction (FSI) problem is modelled by a simplified linear elastic model coupled to the incompressible Navier–Stokes equations in the arbitrary Lagrangian–Eulerian form and special attention is paid to the treatment of the contact problem in the FSI context. Following approach of [Sváček and Horáček, 2021] the incompressible flow model is modified by an addition of fictitious porosity term and the penalization inlet boundary condition is used. Further, the Lighthill acoustic analogy is applied for calculation of sound sources and their propagation through a vocal tract model. All partial differential equations, describing the elastic body vibration, the fluid flow and the acoustics, are approximated by finite element method. Numerical results of one-sided vocal fold paralysis are presented.

The Application of an Improved SPH Boundary Treatment Model in Rigid-fluid Interaction Problems

The Application of an Improved SPH Boundary Treatment Model in Rigid-fluid Interaction Problems

PEDAGOGICAL MONITORING OF PROFESSIONAL TRAINING FUTURE SPECIALISTS IN THE SOCIAL SPHERE IN THE PROCESS OF APPLICATION OF ELECTRONIC LEARNING

The article examines the content of pedagogical monitoring of e-learning of future social workers in higher education institutions. The modern level of e-learning in the institution of higher education has been revealed. Special forms and methods of working with students - future specialists in the social sphere are analyzed and substantiated. The list of necessary conditions for the formation of applicants for higher education with a system of theoretical knowledge, practical abilities and skills necessary for the effective realization of oneself as a professional social worker is provided; development and formation of theoretical knowledge that will contribute to the development of the student as a future specialist in the social sphere. The purpose of the article is to identify the problems of professional training and to study the special requirements for the development and implementation of electronic training courses in the process of professional training of social sector specialists capable of solving social problems. Considerable attention is paid to the problems of pedagogical interaction between the teacher and the student, based on the analysis, the strengths of e-learning are highlighted, and the expediency of its use is clarified. The main tasks are defined as follows: to identify and generalize the components of professional self-development as one of the complex forms of transformation of the inner world, which occurs in the process of self-movement of a person along his life path, on which a person knows himself, builds himself, understands the essence of his functioning; to investigate the peculiarities of vocational pre-university education as a focus for personal development on self-building, professional self-determination for the successful growth of professionals in the social sphere. Based on the results of the generalized analysis, it was concluded that the effectiveness and feasibility of e-learning takes into account not only the general principles of learning, but also the specifics of a specific field or subject. These technologies allow students to independently organize their educational process, develop independent work skills and improve their knowledge. The proposed e-learning technologies can be used in universities, faculties and departments where future specialists in social spheres are trained, as well as in advanced training courses with the aim of increasing readiness to interact with clients based on mastering a set of knowledge and skills aimed at transforming informational and reflective, professional-practical and professional-development technologies in the real conditions of the environment of the higher education institution. The conclusions confirmed the substantiation of the necessary pedagogical conditions for improving the quality of extracurricular activities in the environment of institutions of professional pre-higher education regarding future social workers in the conditions of globalization.

Linguistic and pragmatic aspects of communication in the modern media world

Taking into account the purposeful activity of modern man, his acquisition of huge masses of information during a short period, the communication aspect of communication in the business sphere has gradually turned from a means of enjoyment, length, and unhurried language interaction into a means of accurate, short and simultaneous full communication of a problem, initiative, proposal. Communication pragmatics came to the aid of such language transformations. The article proves that pragmalinguistics studies speech communication as a manifestation of speech activity – purposeful influence on each other (persuasion, persuasion, request for information, etc.) using language. To achieve their communicative goals, depending on the context and situation, their communicative roles, the speaker and the addressee use certain speech acts (written as sentences) corresponding to these goals – stating facts, encouraging action, etc. It is scientifically determined that the emergence of ecolinguistics is due to the need to solve the problems of interaction between language, man and nature. It is indicated that it covers extremely diverse research that reflects the importance of environmental issues in society. The attention paid to issues of environmental protection at all levels of society, and as a result, the relevance of environmental issues, as well as the peculiarities of communication in the field of environmental protection, allow us to distinguish a separate type of discourse - ecological, which is characterized by the constant addition of the ecological glossary, the emergence of special axiological units, the presence of separate status models - role configuration, which determine the use of certain communicative strategies in specific communicative situations. It was highlighted in practice that the main discourse-creating concepts in environmental discourse are environment, pollution, energy, and climate change, which constitute the semantic base of communication in the field of environmental protection.

An adaptable and personalized framework for top-N course recommendations in online learning

In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a global scale has been remarkable. Learners can now meet their learning demands with the help of MOOC. However, learners might not understand the course material well if they have access to a lot of information due to their inadequate expertise and cognitive ability. Personalized Recommender Systems (RSs), a cutting-edge technology, can assist in addressing this issue. It greatly increases resource acquisition through personalized availability for various people of all ages. Intelligent learning methods, such as machine learning and Reinforcement Learning (RL) can be used in RS challenges. However, machine learning needs supervised data and classical RL is not suitable for multi-task recommendations in online learning platforms. To address these challenges, the proposed framework integrates a Deep Reinforcement Learning (DRL) and multi-agent approach. This adaptive system personalizes the learning experience by considering key factors such as learner sentiments, learning style, preferences, competency, and adaptive difficulty levels. We formulate the interactive RS problem using a DRL-based Actor-Critic model named DRR, treating recommendations as a sequential decision-making process. The DRR enables the system to provide top-N course recommendations and personalized learning paths, enriching the student's experience. Extensive experiments on a MOOC dataset such as the 100 K Coursera course review validate the proposed DRR model, demonstrating its superiority over baseline models in major evaluation metrics for long-term recommendations. The outcomes of this research contribute to the field of e-learning technology, guiding the design and implementation of course RSs, to facilitate personalized and relevant recommendations for online learning students.

ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ РАЗВИТИЯ ОРГАНИЧЕСКОГО СЕЛЬСКОГО ХОЗЯЙСТВА В РОССИИ

Currently, more and more attention is being paid to the problems of interaction between economics and ecology. As a result, among the priorities for the development of the agricultural sector of the economy, it is advisable to consider the development of the production segment of organic agricultural products. The priority of this area is considered from the perspective of ensuring sustainable economic growth, which in the “classical” version is associated with increased pollution and environmental degradation, which has negative consequences in the form of disturbances in the agroecosystem and limits the possibilities for further development. Organic agricultural production aims to solve problems that are difficult or impossible to solve within intensive agricultural production. Providing the country's population with safe and high-quality products, as well as preserving the environment from the point of view of ensuring ecological balance, is an urgent task of the modern “green” economy. It is worth noting that the prerequisites for the development of organic production are varied; environmental and social components can be distinguished. However, today the share of the organic products segment in the domestic market is only 0,13 %. The process of development of the domestic market for organic products is hampered by the presence of certain facts, and, above all, by the imperfection of the regulatory framework governing the certification processes of commodity producers, as well as the requirements for the production of products and the export procedure. In addition, compliance with certain industry principles serves as the basis for the formation of the production of organic agricultural products in Russia. The task of developing organic production is deeply studied at the federal level; the result of this attention was the project “Strategy for the development of organic production in the Russian Federation until 2030”, which clearly outlines the goals, objectives and key indicators for the development of organic production, which allows us to highlight the directions of its development in the near future. perspective.