Target Orientation Research Articles

Development of marketing research technologies as the basis of a socially responsible marketing strategy

The object of this study was the trends in the development of marketing research technologies as a basis for the strategy of socially responsible marketing. The study is aimed at solving the problem of increasing the effectiveness of the marketing strategy under the influence of digital marketing research technologies. It has been proven that under the conditions of increased competition and transformation of consumer needs, the strategy of socially responsible marketing acquires great relevance. It has been established that the use of digital marketing research technologies significantly increases the effectiveness of the strategy of socially responsible marketing, ensuring a high degree of transparency and openness of its directions. The main stages of the development of marketing research technologies have been detailed – market research, consumer behavior research, the beginning of digitization, and the digital revolution. Digital technologies, on the basis of which marketing research will be conducted in the future, have been identified – Big Data, blockchain, artificial intelligence, the Internet of Things, augmented and virtual reality. The relationship between digital technologies of marketing research and directions of socially responsible marketing strategy was substantiated. It has been established that the effectiveness of the socially responsible marketing strategy should be determined on the basis of key performance indicators (KPI) based on the elements of the 4P complex. Schemes for researching the effectiveness of areas of social responsibility for individual elements of the marketing complex based on digital technologies are proposed. On this basis, a model of the influence of digital technologies on the KPI strategy of socially responsible marketing was developed and its advantages were substantiated. The practical use of the proposed approach could provide an opportunity to choose a specific marketing research technology depending on the target orientations of social responsibility of marketing. This would provide maximum information content and support for the strategy development and implementation process.

Research on obstacle avoidance of underactuated autonomous underwater vehicle based on offline reinforcement learning

Abstract The autonomous navigation and obstacle avoidance capabilities of autonomous underwater vehicles (AUVs) are essential for ensuring their safe navigation and long-term, efficient operation. However, the complexity of the marine environment poses significant challenges to safe and effective obstacle avoidance. To address this issue, this study proposes an AUV obstacle avoidance control algorithm based on offline reinforcement learning. This method adopts the Conservative Q-learning (CQL) algorithm, which is based on the Soft Actor-Critic (SAC) framework. It learns from obtained historical obstacle avoidance data and ultimately achieves a favorable obstacle avoidance control strategy. In this method, PID and SAC control algorithms are utilized to generate expert obstacle avoidance data to construct a diversified offline database. Additionally, based on the line-of-sight (LOS) guidance method and artificial potential field (APF) method, information regarding the distance and orientation of targets and obstacles is incorporated into the state space, and heading and obstacle avoidance reward terms are integrated into the reward function design. The algorithm successfully guides the AUV in autonomous navigation and dynamic obstacle avoidance in three-dimensional space. Furthermore, the algorithm exhibits a certain degree of anti-interference capability against uncertain disturbances and ocean currents, enhancing the safety and robustness of the AUV system. Simulation results fully demonstrate the feasibility and effectiveness of the intelligent obstacle avoidance method based on offline reinforcement learning. This study highlights the profound significance of offline reinforcement learning in enabling robust and reliable control systems for AUVs, paving the way for enhanced operational capabilities in challenging marine environments.

Development of a method for protecting information resources in a corporate network by segmenting traffic

The object of the study is a corporate network with a dynamic structure and centralized management. The subject of the research is the processes of ensuring the protection of information resources in the corporate network. The goal is to develop a method of protecting information in the corporate network. The development is based on the Zero Trust Security strategy, according to which access to the network is allowed only after verification and identification of information. The task is to develop an effective method of protecting information resources and managing cyber security in the corporate network, taking into account the complex aspects of malicious influence. The following results were obtained. It is shown that the complex, diverse presentation of information in the network requires a comprehensive approach with the division of mixed content of information into segments according to the target orientation. Based on CISA's (Cybersecurity and Infrastructure Security Agency) Zero Trust Maturity Model, a method of targeted traffic segmentation is proposed. It allows detailed analysis of the interaction between applications, users and corporate network infrastructure, which increases the level of complex threats detection by 15 %. A method of protecting information resources of a socio-cyber-physical system is proposed, which, based on the principle of the Zero Trust Security strategy, improves the monitoring and management of cyber security of information resources by taking into account social aspects. This allows to detect and respond to threats in real time and adapt security policies according to the dynamics of user behavior and general security conditions. Integrating analytical methods and modern technologies into a security strategy creates a foundation for adaptive and resilient cyber defense.

The Effects of Constraints on the Variability of Throwing Patterns in Young Children

This research examined how changes in task constraints impacted the throwing patterns of children. The study involved 24 children, with an equal number of males and females, aged 5 and 6. The primary task constraints were the orientation of the target (horizontal or vertical hoops) and the size of the ball (diameters of 6 cm or 12 cm). We observed throwing patterns and analyzed kinematic changes in the preferred throws’ components. Initially, some children transitioned from using two hands to using one hand, and from underhand to overarm throws, particularly when using the larger balls. However, the preferred pattern for most children was one-hand overarm throwing. The kinematic analysis revealed that the participants adapted their throwing technique based on the size of the ball and the orientation of the hoop. The most significant adjustments occurred in the forearm component in response to changes in the target orientation. Notably, when aiming for a vertical hoop, distinct modifications were observed, including elevating the humerus and pulling the hand backward. These findings support the dynamical systems theory, which explains how movement patterns vary during motor development. The study also discussed the potential benefits of using constraints for skill acquisition in physical education settings.

Typology of Leadership Styles Depending on the Nature of Decision-Making and Business/Person Orientation

The purpose of the study is to develop a classification of leadership styles based on a combination of two indicators: the degree of employees’ involvement in the decision-making process and the prevailing orientation at the enterprise either towards achieving organizational results or towards ensuring employees’ satisfaction. The scientific novelty of the work is in the approach to solving the stated problem, namely, the creation of the authors’ typology of management styles (individual authoritarian, paternalistic, collective, communal), based on a combination of the degree of staff participation in making management decisions and target orientation towards business/relationships. The results obtained show that this methodology helps to reveal most efficiently the features of management at modern Russian enterprises. This methodology was used as a basis for the analyses of the aspects determining the nature of the leadership. There was revealed its relationship with various socio-economic factors. Long-term longitudinal studies conducted at Naberezhnye Chelny enterprises provided the authors of the article with empirical material, on the basis of which it was concluded that authoritarianism and paternalism were the most characteristic of the modern domestic managers’ style. The practical significance of the study is in the possibility of applying its results at enterprises in various sectors of the economy. The proposed classification of management styles can be used as a methodological toolkit in studying the effectiveness of management work at different organizations, as well as in the process of training, retraining and advanced training of personnel.

Variations in Clustering of Multielectrode Local Field Potentials in the Motor Cortex of Macaque Monkeys during a Reach-and-Grasp Task.

There is experimental evidence of varying correlation among the elements of the neuromuscular system over the course of the reach-and-grasp task. The aim of this study was to investigate if modifications in correlations and clustering can be detected in the local field potential (LFP) recordings of the motor cortex during the task. To this end, we analyzed the LFP recordings from a previously published study on monkeys that performed a reach-and-grasp task for targets with a vertical or horizontal orientation. LFP signals were recorded from the motor and premotor cortex of macaque monkeys as they performed the task. We found very robust changes in the correlations of the multielectrode LFP recordings that corresponded to task epochs. Mean LFP correlation increased significantly during reach and then decreased during grasp. This pattern was very robust for both left and right arm reaches irrespective of target orientation. A hierarchical cluster analysis also demonstrated similar changes. In focusing on correlations, our study has contributed new insights to the understanding of LFP signals and their relationship to movement. A sliding window computation of the number of clusters was performed to probe the capacities of the LFP clusters for detecting upcoming task events. For a very high percentage of trials (97.89%), there was a downturn in cluster number following the Pellet Drop (GO signal) that reached a minimum preceding the Start of grasp, hence indicating that cluster analyses of LFPs could contribute to signaling an increased probability of the Start of grasp.

Group-random algorithm to generate representative volume element models for composites

One of the most commonly used methods for characterizing the mechanical properties of discontinuous fiber reinforced composites (DFRC) is to establish a Representative Volume Element (RVE) model and perform finite element (FE) analysis. However, FE analysis on RVE models established by traditional sampling algorithms is often computationally expensive due to the large size of RVE that is required to be statistically representative of the composite. To address this issue, this paper proposes a new approach for constructing RVE models with more accurate description of fiber orientation, aiming to make the FE modelling more efficient by using an RVE with small size. When establishing RVE models with given target fiber orientation tensor, it is very challenging to accurately capture the orientation of fibers. In order to mitigate the error between the orientation tensor reconstructed by fibers generated in the RVE and the target orientation tensor, a group-random algorithm is proposed in the current work to generate RVE models. Unlike the traditional algorithm, in which fibers are sampled one by one in the RVE, the group-random algorithm samples a group of four fibers at one time in order to eliminate the error of the off-diagonal components of the reconstructed orientation tensor in the principal coordinate system. Then a modification tensor is further introduced to mitigate the error of the diagonal components of the reconstructed orientation tensor. Simulation results show that the orientation tensor error could be significantly reduced by the group-random algorithm even for the RVE with low number of fibers. The merits of the group-random algorithm are also witnessed by the stability and accuracy of predicting the elastic constants of composite materials through RVE modeling. It is thus concluded that the major advantage of this work is to provide an alternatively feasible strategy to substantially improve computational efficiency of RVE modelling.

Off-Grid Underwater Acoustic Source Direction-of-Arrival Estimation Method Based on Iterative Empirical Mode Decomposition Interval Threshold.

To solve the problem that the hydrophone arrays are disturbed by ocean noise when collecting signals in shallow seas, resulting in reduced accuracy and resolution of target orientation estimation, a direction-of-arrival (DOA) estimation algorithm based on iterative EMD interval thresholding (EMD-IIT) and off-grid sparse Bayesian learning is proposed. Firstly, the noisy signal acquired by the hydrophone array is denoised by the EMD-IIT algorithm. Secondly, the singular value decomposition is performed on the denoised signal, and then an off-grid sparse reconstruction model is established. Finally, the maximum a posteriori probability of the target signal is obtained by the Bayesian learning algorithm, and the DOA estimate of the target is derived to achieve the orientation estimation of the target. Simulation analysis and sea trial data results show that the algorithm achieves a resolution probability of 100% at an azimuthal separation of 8° between adjacent signal sources. At a low signal-to-noise ratio of -9 dB, the resolution probability reaches 100%. Compared with the conventional MUSIC-like and OGSBI-SVD algorithms, this algorithm can effectively eliminate noise interference and provides better performance in terms of localization accuracy, algorithm runtime, and algorithm robustness.

Аспекти стратегічного спрямування діяльності підприємств

The article examines aspects of the strategic direction of enterprise activity. We proceed from the fact that the enterprise, by definition, is a purposeful, open system that exchanges goods and material values, energy, and information with the external environment. Pay attention to the strategic direction of the enterprise’s activities from the point of view of its management to maintain its level of system excellence, particularly system potential and the ability for sustainable development. The management of domestic enterprises still perceives most aspects of strategic management as formal processes that are declared but, in fact, still need to form the basis of the enterprise’s activity and, accordingly, reduce the potential for achieving long-term sustainable results in practice. If the management of the enterprise does not deal with these issues, then the staff, depending on the system of their values and culture as a way of life, will consider their work at the enterprise within the scope of their activities. More likely, only from achieving their own goals and satisfying personal interests. The most attention is paid to the task of the enterprise’s mission as an element of a set of strategic targets. However, there is currently no single approach to developing the company’s mission. Considering the list of elements of the mission and choosing those that are most relevant from the point of view of the current system state of the enterprise in the context of its strategic direction is directly reflected in the choice and implementation of the approach to the formation of the mission of the enterprise. The functioning of the enterprise in the direction of the defined mission becomes possible thanks to the establishment and achievement of the goals of its activity. At that time, the goal is a specific state of the desired result in the future, which the company seeks to achieve. The mission of the enterprise and the strategic goals of activity arising from it allow the enterprise to coordinate the level of system potential, harmonizing its ambitions with the state of the external environment in which it operates. The target orientations are the basis of the strategic direction of the enterprise’s activity and determine its future desired state, in particular, the possibility of being potentially competitive in market conditions in the long term. Also, they enable the company’s management to look from the future into the present and determine what actions must be performed by everyone inside the company today to achieve a particular state in the future. In general, it can be said that the task of targeting strategic landmarks allows the enterprise to acquire such characteristics that provide it with the possibility of long-term effective functioning in a highly competitive market environment. In this regard, it is relevant to consider the approaches to the task of target strategic orientations of the enterprise, which exist today in foreign and domestic theory and practice of strategic management. Keywords: strategic management, strategic guidelines, enterprise, strategic direction.

Deciphering the impairment of perimenopausal insomnia on visual search from a neurocognitive processing perspective.

Perimenopausal insomnia (PMI) is associated with observable performance impairments in visual search tasks. This study examines how various cognitive processing stages contribute to search performance delays in PMI compared to healthy controls (HCs). We recruited 76 participants diagnosed with PMI and 63 HCs. Event-related potentials (ERPs) were recorded as participants engaged in a visual search task, reporting the orientation of a color popout target within an array of ellipses. We analyzed group differences in behavioral performance and ERP components across cognitive processing stages. Compared to HCs, PMI patients exhibited behavioral response delays, although accuracy was not different between groups. Electrophysiological analyses revealed group differences across several ERP components. Firstly, the N1 component's amplitude increased bilaterally, suggesting enhanced visual sensory processing. Secondly, a slower and smaller N2pc indicated reduced attentional orienting. Thirdly, a decreased SPCN amplitude pointed to deficits in target discrimination. Fourthly, an increased amplitude of the stimulus-locked LRP, with unchanged latency, suggested heightened neural inputs for maintaining motor initiation speed. Fifthly, prolonged response-locked LRP latency indicated slower motor execution. Finally, these changes in ERP components, along with significant correlations between LRP components and insomnia symptoms, suggest potential neural biomarkers for PMI. Our findings provide high-temporal-resolution insights into the neurocognitive disruptions associated with PMI, highlighting how sleep disturbances affect cognitive processing in visual tasks. These insights enhance our understanding of PMI and contribute to discussions on neural mechanisms driving behavioral performance in various conditions.

Project approach: the essence and features of application in public administration

Introduction. The application of the project approach in the field of public administration is a fairly effective means of improving the main economic indicators of not only state but also regional development. Projects implemented by public authorities are important in the process of development of the national economic system and act as a fairly effective management tool. Implementation of projects activates the target orientation of the public management system; provides an absolute and permanent solution to various problems in the field of economy, ecology, social security, etc.; achieving the defined goal of social development in the country. Purpose of the research. Disclosure of the essence and features of the application of the project approach in the field of public administration. Research metods. In the process of writing this article, the following methods were used: analysis and synthesis, generalization method, comparative method and systematization method, system analysis method, logical and dialectical method. Results. The essence of the project approach in the field of public administration, which acts as a rather effective means of improving the main economic indicators of not only state, but also regional development, is revealed. The essence of the concept of «project» has been defined and it has been clarified that the project is a certain document that provides, through the use of special tools and methodology, the description, argumentation and detailing of certain activities in relation to the achievement of a predetermined and long-awaited goal together with a clearly defined resource base with a specific time frame . The essence of the concept of «project management» was revealed and it was established that «project management» is a short-term managerial and professional activity associated with planning, organization, stimulation and control over the appropriate use of all types of resource provision due to the application of a complex of special methodologies and tools in the process achievement of pre-defined goals within the defined project implementation period. The main features of the project approach in the field of public administration are given. Perspectives. Prospects for further research consist in substantiating the expediency of analyzing the effectiveness of implementing a project approach in managing the activities of local self-government bodies and territorial communities.

Современные виды корпоративной отчетности: их содержание и принципы формирования

New conceptual approaches in the context of sustainable socio-economic development of society predetermined the processes of evolution of corporate reporting and the introduction of new types of reporting into management practice. The information preferences of individual groups of interested users suggest different target orientations of corporate reports. The lack of unity in approaches to understanding the essence of corporate reporting has led to interest in studying the diversity of its types. Purpose of the work: research and systematization of approaches to the content of corporate reporting and its components, their target orientation and principles of formation, classification of reports in the corporate reporting system. Methods and results of the study: using a systematic approach and general scientific methods of cognition, analysis, synthesis and generalization, approaches to understanding the essence of corporate reporting are systematized, the constituent elements of the corporate reporting system are identified, trends in the development of corporate reporting and its regulatory regulation are considered, types of corporate reports are determined according to the target directions and principles of their formation.

Flicker adaptation improves acuity for briefly presented stimuli by reducing crowding.

Adaptation to flickering/dynamic noise improves visual acuity for briefly presented stimuli (Arnold et al., 2016). Here, we investigate whether such adaptation operates directly on our ability to see detail or by changing fixational eye movements and pupil size or by reducing visual crowding. Following earlier work, visual acuity was measured in observers who were either unadapted or who had adapted to a 60-Hz flickering noise pattern. Participants reported the orientation of a white tumbling-T target (four-alternative forced choice [4AFC], ⊤⊣⊥⊢). The target was presented for 110 ms either in isolation or flanked by randomly oriented T's (e.g., ⊣⊤⊢) followed by an isolated (+) or flanked (+++) mask, respectively. We measured fixation stability (using an infrared eye tracker) while observers performed the task (with and without adaptation). Visual acuity improved modestly (around 8.4%) for flanked optotypes following adaptation to flicker (mean, -0.038 ± 0.063 logMAR; p = 0.015; BF10 = 3.66) but did not when measured with isolated letters (mean, -0.008 ± 0.055 logMAR; p = 0.5; BF10 = 0.29). The magnitude of acuity improvement was associated with individuals' (unadapted) susceptibility to crowding (the ratio of crowded to uncrowded acuity; r = -0.58, p = 0.008, BF10 = 7.70) but to neither fixation stability nor pupil size. Confirming previous reports, flicker improved acuity for briefly presented stimuli, but we show that this was only the case for crowded letters. These improvements likely arise from attenuation of sensitivity to a transient low spatial frequency (SF) image structure (Arnold et al., 2016; Tagoh et al., 2022), which may, for example, reduce masking of high SFs by low SFs. We also suggest that this attenuation could reduce backward masking and so reduce foveal crowding.

Classification of international organizations and their role in the modern world

International organizations in the modern world play an important role in ensuring cooperation between states, developing global strategies and solving international problems. Classification of various international organizations into categories for the purpose of their systematic study is not based on a priori generally accepted criteria. Thus, none of the existing classifications of international organizations, even if they satisfy a significant part of differentiated research needs, can be considered as based on codified criteria. The relative typology of all international organizations entails their classification, sometimes based on criteria that serve the specific theoretical needs of a particular study. Although this is not the case here, it should be noted that the following distinctions of international organizations are mainly relevant to the study of the legal aspects of the phenomenon. International organizations can be classified according to various criteria, such as target orientation, structure, method of participation of states and others. One of the key criteria is functional orientation. Thus, there are political, economic, social, humanitarian and military organizations, each of which has its own specific tasks and functions. Some organizations are based on the principle of sovereignty, where each state has the right to make an independent decision on participation in the organization’s activities. In the light of globalization and the growing complexity ofinternationalrelations, understanding the classification of international organizations is becoming extremely important for solving global problems and ensuring peaceful coexistence in the international arena. Studying their functions, structures, and participation mechanisms helps countries and organizations to cooperate more effectively and solve important global issues. The role of international organizations in the modern world cannot be overestimated. They facilitate cooperation between states, resolve international conflicts, provide humanitarian aid, develop economies, and implement joint strategies for environmental protection. International organizations act as mediators and coordinators in solving major global problems, ensuring stability and progress in international relations.

PaIRS-UniNa: A Robust And Accurate Free Tool For Digital Particle Image Velocimetry And Optical Camera Calibration

This contribution presents PaIRS-UniNa (PArticle Image Reconstruction Software – University of Naples “Federico II”), a free software application designed to perform digital particle image velocimetry (PIV). PaIRS-UniNa relies on a powerful C library designed for speed, robustness and accuracy, and a user-friendly graphical interface (Figure 1) running in Python environment on all operating systems, including Windows, Linux and MacOS. At the current stage, it features modules to perform two-component (2C) PIV, stereoscopic PIV and optical camera calibration for multi-camera systems. The processing of PIV and stereoscopic PIV data is based on an iterative image deformation method, which can be customized by the user varying different parameters in such a way to find the best compromise between accuracy and computational speed. These parameters include the size, shape and number of interrogation windows, the number of process iterations and the type of interpolating functions for both image deformation and displacement interpolation (such as bilinear, bicubic, methods based on simplexes or the FFT shift theorem and B-splines of varying orders). Additionally, it is possible to select a range of weighting windows for cross-correlation estimation and velocity field filtering, including rectangular, Blackman, Gaussian, Harris, Hann windows, among others, and several vector validation strategies for outlier detection and replacement. Such a level of customization enables to effectively adjust the modulation transfer function of the PIV process to meet specific application requirements. For the stereoscopic PIV process two different approaches are possible: mapping, which involves applying PIV to de-warped images for 2D-2C displacement fields, and warping, which applies PIV to raw images and combine 3C reconstruction and image dewarping in a single subsequent step. In order to accurately estimate the laser sheet plane location and correct errors due to misalignment and inaccurate displacement vector positions, a disparity correction procedure is also available. The calibration module (CalVi) supports accurate calibration with the camera models mostly used in the PIV community: polynomials, rational functions and the pinhole camera model. Moreover, it supports the integration of the pinhole camera model with a refractive correction model for cylindrical geometries and camera calibration procedures working with unknown positions and orientations of the calibration target. In such a way, the target may be moved by hand without losing accuracy in comparison with a conventional calibration, in which the target is displaced with the aid of translational and rotational stages and knowledge of the target positions is strictly required. Already used in numerous experimental studies by the Experimental Thermo-Fluid Dynamics group of University of Naples “Federico II” and international collaborating groups, PaIRS-UniNa offers a rapid and effective free alternative to commercial PIV software for research and industrial use.

Fundamentals of Targeted Integrative Program Development for Rural Labor Market Growth in Surplus Regions

This article introduces a systematic approach for developing a targeted comprehensive program aimed at enhancing the rural labor market (TCPDRLM) in labor-surplus regions of the Republic of Uzbekistan, within a socially oriented market economy. The paper outlines key interconnected principles for the development of TCPDRLM, including target orientation, complexity, integration, specificity, variability, realism, optimality, priority, delineation of powers and functions, limitations, targeting, controllability, and interconnectedness. Based on these principles, the article proposes interrelated sections for the program’s development, covering analytical and problematic aspects, target delineation, scientific and methodological frameworks, information management, modeling, software development, resource allocation, organizational and economic structuring, summary formulation, and legal considerations. Additionally, the article details the primary stages of TCPDRLM development, including setting objectives for the rural labor market (RLM), developing methodological and modeling frameworks for RLM analysis and forecasting, collecting statistical, marketing, and sociological data, compiling the TCPDRLM subprograms, obtaining approval for the RLM development program, and establishing organizational, economic, and legal mechanisms for program implementation and adjustment. The article's scientific contribution lies in the formulated methodology for TCPDRLM development in the rural labor market.

Design of Scanning Units for the Underwater Circumferential-Scanning LiDAR Based on Pyramidal-Shaped Reflectors and a Rapid Detection Method for Target Orientation

Design of Scanning Units for the Underwater Circumferential-Scanning LiDAR Based on Pyramidal-Shaped Reflectors and a Rapid Detection Method for Target Orientation

Ellipsoidal estimation of motion parameters of a non-cooperative space vehicle from visual information

The use of near-Earth space is currently complicated by presence of space debris objects in Earth’s orbit, which include spent stages of launch vehicles, inoperative satellites, and other large and small artificial objects. One approach to solving the problem of space debris involves docking and capturing a non-cooperative space object or spacecraft (target) with a so-called service spacecraft (chaser) for further actions to repair, refuel or change its orbit. Rendezvous and docking are complicated by the rotation of uncontrolled space objects caused by various factors. To perform this task, it is necessary to know the parameters of the orbital, rotational and relative motion of the target. The parameters of the orbital motion of such objects are usually known quite accurately from measurements from the Earth. This paper examines the case of a tumbling non-cooperative target located in an elliptical orbit. It is assumed that the target relative position and orientation are measured by the computer vision system (CVS) of the chaser. In this case, the position and orientation of the graphical reference frame (GRF) associated with the known 3-D graphical model of the target are determined relative to the reference frame associated with the chaser. The specific type of CVS is not considered. It is assumed that the chaser can carry out some maneuvers near the target and all parameters of the chaser angular motion are known. Thus, the attitude of the GRF relative to inertial reference frame (IRF) can be determined. The measured parameters are not enough to ensure safe rendezvous and docking with the target. To complete this task, it is necessary to determine all kinematic and dynamic parameters of the relative motion between the spacecraft. The rest of the required parameters are estimated. Orientation and rotation parameterization is done using quaternions. The angular motion equation of the target is considered in the GRF. This makes the angular velocity estimation faster and the inertia tensor estimation more stable. Stochastic characteristics of measurement errors are considered to be unknown and are not used. The only information about the errors is the bounds of their values. To determine the relative motion parameters, we use a new dynamic set-membership filter with ellipsoidal estimates. The filter can be successfully implemented on low-power on-board processors. The properties of the proposed algorithm are demonstrated using numerical simulation. The results obtained are expected to be used in the development of a navigation system for the rendezvous and docking, developed by a group of Ukrainian space industry enterprises under the leadership of the LLC “Kurs-orbital” (https://kursorbital.com/).

Pre-saccadic Preview Shapes Post-Saccadic Processing More Where Perception is Poor.

The pre-saccadic preview of a peripheral target enhances the efficiency of its post-saccadic processing, termed the extrafoveal preview effect. Peripheral visual performance -and thus the quality of the preview- varies around the visual field, even at iso-eccentric locations: it is better along the horizontal than vertical meridian and along the lower than upper vertical meridian. To investigate whether these polar angle asymmetries influence the preview effect, we asked human participants (to preview four tilted gratings at the cardinals, until a central cue indicated to which one to saccade. During the saccade, the target orientation either remained or slightly changed (valid/invalid preview). After saccade landing, participants discriminated the orientation of the (briefly presented) second grating. Stimulus contrast was titrated with adaptive staircases to assess visual performance. Expectedly, valid previews increased participants' post-saccadic contrast sensitivity. This preview benefit, however, was inversely related to polar angle perceptual asymmetries; largest at the upper, and smallest at the horizontal meridian. This finding reveals that the visual system compensates for peripheral asymmetries when integrating information across saccades, by selectively assigning higher weights to the less-well perceived preview information. Our study supports the recent line of evidence showing that perceptual dynamics around saccades vary with eye movement direction.

Axiological foundations of a journalist's professional activity

The professional activity of a journalist has a clearly expressed value character, reflecting the ideological and ethical principles of this field. This article analyzes the following values of journalism: 1. The principle of humanity, based on humanistic ideals and responsible attitude towards people. 2. The principle of truthfulness, which implies the accuracy of information transmission and interpretation of facts as a professional duty. 3. The principle of honesty, which assumes not only the prevention of misleading the audience, but also the refusal to harm people. 4. The principle of responsibility, which includes a set of requirements for professionalism, text quality, objectivity and balance. These value orientations represent ideal entities existing in the world of due and target orientations. Being rooted in the philosophical tradition, they streamline and fill the professional activity of journalists with evaluative content, determining its orientation towards serving society and affirming humanistic ideals. The following methods are used in the work: 1. Theoretical analysis of philosophical and scientific literature on the problem of axiological foundations of journalism. 2. A comparative analytical method used in comparing various concepts of values in the philosophical tradition. 3. An interpretive method used for meaningful analysis and evaluative filling of the value principles that form the axiological basis of the professional activity of journalists. Summarizing, we can say that the value system of journalism is characterized by the principles of humanity, truthfulness, honesty and responsibility. These values reflect the ideological and ethical basis of the professional activity of journalists. The analysis allows us to conclude that the values of journalism are ideological and ethical. The key value principles in this professional field are humanity, truthfulness, honesty and responsibility. These values represent the normative guidelines of journalists' consciousness and behavior, which streamline and fill their professional activities with evaluative content. Rooted in the philosophical tradition, they are interpreted as ideal entities existing in a world of due and purpose. Thus, the axiological basis of journalism determines its orientation towards truth, service to society and affirmation of humanistic ideals. This value system sets the ethical vector of media communications, making journalism a socially responsible profession.